
awesome-business-of-cybersecurity
Overview of cybersecurity vendors, public and private, organized by 18 solution areas, with AI capabilities, market insights, and strategic context.
Stars: 77

README:
A resource exploring the cybersecurity market with a focus on publicly traded companies, industry strategy, and AI capabilities. Organized by core solutions and specialized domains, it offers a structured way to analyze how cybersecurity companies operate, compete, and evolve across 18 solution categories and beyond.
- 2024 Cybersecurity Market Snapshot
- Specialists ("Pure Play") vs. Multiservice Cybersecurity
- Cybersecurity Stock Lists
- Non-US Traded Cybersecurity Companies
- Cybersecurity ETFs
- Business of Cybersecurity
- Cybersecurity Solutions Categories
- Contributing
- License
- 4% Increase in Funding: Total funding reached $14B across 621 rounds.
- M&A Activity: 271 transactions completed, valued at $45.7B.
- AI-Focused Investments: Grew by 96% YoY (from ~$181.5M in 2023 to $369.9M in 2024). Notably, seed-stage funding surged by 226%, and pre-seed AI deals increased from 6.69% to 16.5% of all pre-seed rounds.
- Business Model Trends: Product-based companies dominated funding (88% of total, $12.3B), while service/hybrid models are gaining traction.
- Geographical Distribution: The U.S. led with $10.9B (83% global share); Europe, Israel, and Asia contributed significant, but smaller, amounts.
This list categorizes companies into two main types, reflecting how cybersecurity aligns with their overall business model:
- šÆ Specialists ("Pure Play"): Focus exclusively on cybersecurity, dedicating their entire business to developing security solutions.
- š Multiservice: Offer cybersecurity as part of a broader range of technology solutions, such as networking, cloud services, or application delivery.
Exclusion: Tech giants like Microsoft or AWS are not included, as cybersecurity is just one part of their diverse operations. Additionally, this list does not include micro-cap or low-cap stocks to ensure focus on established companies and ETFs with significant market presence.
Cybersecurity Stock Lists (TradingView š)
Secures devices such as laptops, mobile devices, and servers from threats like malware and ransomware. Common solutions include Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) for real-time monitoring and response.
Company (IR) | Domains | AI Capabilities | Revenue Growth (2024) | |
---|---|---|---|---|
CrowdStrike - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@CrowdStrike | $CRWD |
|
CrowdStrike's Falcon platform integrates both Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) capabilities. Specifically, Falcon Insight XDR extends traditional EDR by incorporating telemetry from multiple domains, enhancing threat detection and response across an organization's entire security stack. Falcon Insight XDR analyzes cloud activity logs from AWS, Azure, and GCP to detect attack patterns and security misconfigurations. Statistical anomaly detection is used to identify unauthorized modifications to cloud-hosted applications, including unusual credential usage and misconfigurations. ExPRT.AI enhances vulnerability prioritization by correlating CVSS data with real-time threat intelligence from Threat Graph via machine learning algorithms. This approach enhances vulnerability prioritization beyond traditional CVSS scoring by incorporating real-time threat intelligence. Charlotte AI automates security workflows through natural language processing (NLP) and multi-agent architecture, integrating large language models (LLMs) and task-specific agents for EDR query generation, incident summarization, and workflow automation. More šÆ |
36.1% |
SentinelOne - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@SentinelOne | $S |
|
SentinelOne's Singularityā¢ platform integrates AI to improve threat detection and response across multiple domains. AI-Powered Detection and Response autonomously detects, investigates, and mitigates cyber threats in real time across endpoints, cloud environments, and identities. AI Security Posture Management (AI-SPM) enables organizations to discover and assess AI services, identifying misconfigurations and vulnerabilities. Generative AI and Reinforcement Learning support adaptive defense by autonomously detecting, preventing, and remediating threats. AI-Driven SIEM provides real-time visibility, AI-powered detection, and automated workflows for incident response. These AI-based capabilities allow SentinelOne's Singularity platform to deliver autonomous cybersecurity solutions across enterprise environments. More šÆ | 46.2% |
Protects an organizationās network perimeter and internal traffic. Typical measures include firewalls, Intrusion Prevention Systems (IPS), Virtual Private Networks (VPNs), and DDoS mitigation to block unauthorized access and attacks.
Company (IR) | Domains | AI Capabilities | Revenue Growth (2024) | |
---|---|---|---|---|
A10 Networks - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@A10Networks | $ATEN |
|
A10 Networks' ThunderĀ® Threat Protection System (TPS) incorporates AI-based behavioral analysis, baselining, and real-time traffic filtering to detect and mitigate multi-vector and zero-day DDoS attacks. Its Zero-day Automated Protection (ZAP) technology autonomously identifies attack patterns and applies mitigation filters without manual intervention. The A10 Defend DDoS Mitigator enhances protection with AI-driven bot defense, detecting and mitigating automated threats in real time. These AI-powered capabilities improve threat detection and automated response across enterprise networks. More š | 3% |
Check Point - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@CheckPointSW | $CHKP |
|
Check Point's Infinity ThreatCloud AI aggregates global telemetry from 150,000 networks and millions of endpoints, using over 50 AI-based detection engines powered by machine learning models for threat classification, anomaly detection, and behavioral analysis. It applies AI-driven pattern recognition to detect zero-day threats, malicious activity, and advanced attack techniques in real-time. The SandBlast Agent uses deep learning algorithms for static and dynamic code analysis, blocking malware, ransomware, and zero-day exploits before execution. It automates forensic investigation and remediation by applying behavioral AI models to monitor process execution and identify suspicious activity. ThreatCloud Graph leverages graph neural networks to analyze relationships between domains, IPs, and files, uncovering malicious infrastructure and supporting AI-enhanced threat hunting. Additionally, Check Point's Infinity AI Copilot, a generative AI assistant, reduces task time for policy creation and trouble ticket resolution by up to 90%. The AI-powered, cloud-delivered Infinity Platform ensures comprehensive threat prevention across all attack vectors, including zero-day malware, phishing, and DNS attacks. More š | 5.8% |
Cisco - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Cisco | $CSCO |
|
Cisco's SecureX platform automates threat detection and response across endpoints, networks, and cloud environments. It applies data correlation techniques and statistical modeling to prioritize incidents across multiple security controls, improving response efficiency. Cisco Umbrella analyzes web traffic using pattern recognition and anomaly detection to identify malicious domains and enforce DNS-layer security, incorporating generative AI content control to monitor and block AI-generated content from tools like ChatGPT. Cisco AI Defense supports security operations through automated threat analysis, incident prioritization, and workflow automation, enhancing security posture and decision-making. The Firewall Assistant and XDR Assistant use rule-based learning and anomaly detection models to help firewall administrators and SOC analysts manage policies and optimize security configurations. Cisco Security Cloud applies behavioral analytics and predictive modeling to ensure visibility and automated protection across hybrid and multicloud environments. More š | -5.6% |
Fortinet - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Fortinet | $FTNT |
|
Fortinet integrates generative AI across multiple products to enhance security operations. FortiAI provides real-time assistance for security analysts, leveraging natural language processing (NLP) to generate queries, build reports, and automate security workflows. Integrated into FortiAnalyzer, FortiSIEM, and FortiSOAR, it improves threat investigation, correlation, and automated response. FortiNDR Cloud applies AI-based anomaly detection and attack pattern analysis to help security teams assess threat coverage and detect evolving attack techniques. FortiGuard Labs employs machine learning and advanced malware analysis to track and classify new malware variants, identifying attacker tactics before they are deployed at scale. FortiAIOps enhances network performance across WLAN, LAN, SD-WAN, and 5G/LTE gateways using predictive analytics and machine learning models to detect network anomalies and optimize IT operations. Lacework FortiCNAPP integrates runtime threat blocking and automated remediation to secure cloud-native applications, ensuring compliance and security across hybrid environments. More š | 10.4% |
Juniper Networks - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@JuniperNetworks | $JNPR | Juniper Networks integrates AI across its solutions to optimize network performance and security. Mist AI, part of Juniper's AI-Native Networking Platform, applies supervised learning for event correlation and unsupervised learning for anomaly detection across wireless, wired, SD-WAN, and security domains. Marvis Virtual Network Assistant leverages natural language processing (NLP) to provide IT staff with contextual insights and guided troubleshooting via a conversational interface. Juniper ATP Cloud employs behavioral analysis models to detect early-stage attacks and enforce network security policies. Sky ATP utilizes deep learning and deep packet inspection (DPI) to analyze encrypted and decrypted traffic, identifying and mitigating advanced persistent threats. Juniperās AI Data Center solution applies predictive analytics for high-throughput, low-latency connectivity in AI workloads, enhancing fabric management and troubleshooting. Ops4AI incorporates intent-based networking and multivendor switch management to optimize network resource allocation and efficiency. The AI-Driven Enterprise, powered by Mist AI, enhances visibility and security across wired and wireless environments using virtual Bluetooth LE (vBLE) array technology and cloud-based machine learning for real-time indoor location services. More š | 10.9% | |
Palo Alto Networks - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@PaloAltoNtwks | $PANW |
|
Cortex XDR leverages AI for unified threat detection and response across endpoints, networks, and cloud environments. It includes behavioral analytics for anomaly detection and Advanced Threat Protection (ATP) to mitigate sophisticated attacks in real time. Palo Alto Networksā Next-Generation Firewalls (NGFW) utilize AI for automated threat prevention, continuously analyzing evolving cyber threats. Additionally, Precision AIā¢ integrates machine learning and deep learning to automate detection, prevention, and remediation with high accuracy. More šÆ | 14% |
Radware - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@radware | $RDWR |
|
Radwareās DefensePro platform leverages AI-driven behavioral analysis for real-time DDoS attack mitigation. It includes AI-based bot management and advanced analytics to optimize security and performance. Additionally, Radwareās AI SOC Xpert automates incident resolution, reducing Mean Time to Resolution (MTTR) by up to 20 times through real-time AI-driven detection and adaptive response strategies. Radwareās EPIC-AIā¢ integrates AI-powered algorithms and generative AI across multiple security solutions, including DDoS and Web DDoS protection, Web Application Firewall (WAF), API security, bot management, Account Takeover (ATO) prevention, and client-side protection. More š | 2.3% |
Controls user identities, authentication, and authorization. This category commonly includes solutions such as Single Sign-On (SSO), Multi-Factor Authentication (MFA), Privileged Access Management (PAM), and Privileged Identity Management (PIM) to ensure that only the right individuals have appropriate access.
Company (IR) | Domains | AI Capabilities | Revenue Growth (2024) | |
---|---|---|---|---|
CyberArk - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@CyberArk | $CYBR | CyberArkās Core Privileged Access Security solution leverages AI to detect and respond to anomalous activities related to privileged accounts. The platform includes AI-driven risk scoring and automated incident response to mitigate insider threats and external attacks. Additionally, CyberArk CORAā¢ AI translates vast identity-centric data into actionable insights, enhancing threat detection, privilege control, and security decision-making. CyberArkās Privileged Access Manager continuously discovers and secures privileged accounts, monitors privileged sessions, and enforces least-privilege security controls across hybrid environments. More šÆ | 30.3% | |
Okta - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Okta | $OKTA | Okta Identity Cloud leverages AI for adaptive authentication and intelligent access control. The platform includes AI-driven threat detection to identify and mitigate identity-based attacks in real time, as well as automated user lifecycle management. Additionally, Okta AI continuously evaluates risk throughout user sessions, detecting anomalies in behavior, device, and network context. This enables automated security actions, such as session termination or adaptive multi-factor authentication challenges, enhancing security beyond initial login. More šÆ | 21.8% |
Secures cloud services, applications, and containers. It often involves technologies like Web Application Firewalls (WAF), Zero Trust frameworks, and Secure Access Service Edge (SASE) to enforce consistent security policies and monitor for threats in cloud environments.
Company (IR) | Domains | AI Capabilities | Revenue Growth (2024) | |
---|---|---|---|---|
Akamai - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Akamai | $AKAM |
|
Akamaiās Kona Site Defender integrates AI-powered web application firewall (WAF) protection, using AI-driven threat intelligence to detect and mitigate web-based attacks in real time. The platform includes AI-powered bot management to protect against automated threats, leveraging behavioral analytics to distinguish between legitimate users and malicious bots. Additionally, Akamaiās App & API Protector leverages AI for adaptive security, including behavioral-based DDoS mitigation and API protection against evolving cyber threats. More š | 5.9% |
Cloudflare - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Cloudflare | $NET |
|
Cloudflareās security solutions leverage AI for DDoS protection, bot management, and web application security. The platform uses AI-driven traffic analysis to detect anomalies and mitigate threats in real time while optimizing performance. Cloudflareās Bot Management employs machine learning to distinguish between legitimate users and automated threats. Additionally, AI-powered security features like the WAF Rule Builder Assistant and Cloudflare Radar provide adaptive threat intelligence and automated security rule recommendations. More š | 27.6% |
F5 - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@F5 | $FFIV |
|
F5ās Silverline integrates AI for advanced application security, leveraging AI-powered behavioral analysis and machine learning to detect and mitigate threats in real time. The platform includes AI-driven bot management and threat intelligence, providing comprehensive protection against sophisticated web-based attacks, including fraud and credential stuffing. Additionally, F5ās AI Gateway secures AI-driven applications by managing authentication, zero-trust enforcement, and API security, ensuring the safe and efficient consumption of AI services across enterprises. More š | -1.4% |
Zscaler - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Zscaler | $ZS | Zscaler Internet Access (ZIA) leverages AI for cloud security, providing real-time threat detection, automated response, and AI-driven analytics for proactive threat hunting and incident investigation. Zscalerās AI capabilities extend to advanced phishing detection, command-and-control (C2) threat identification, and AI-powered sandboxing, preventing zero-day malware from infiltrating networks. Additionally, AI-driven analytics optimize risk management, IT operations, and business security posture. More šÆ | 34% |
Safeguards data through backup, encryption, and access controls while ensuring compliance with regulations such as GDPR or HIPAA. It covers data integrity, recovery, and lifecycle management.
Company (IR) | Domains | AI Capabilities | Revenue Growth (2024) | |
---|---|---|---|---|
Broadcom - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Broadcom | $AVGO |
|
Broadcom's Symantec division integrates machine learning techniques for threat detection, data security, and compliance monitoring. Symantec Endpoint Protection uses machine learning in Download Insight, behavioral analysis (SONAR), and virus and spyware scans to identify and block emerging and unknown threats in real time. Additionally, Symantecās Data Loss Prevention (DLP) platform utilizes Vector Machine Learning (VML) to perform statistical analysis, detecting similar document content and protecting unstructured data across endpoints, email, and cloud environments. More š | 44% |
Commvault - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Commvault | $CVLT | Commvault utilizes machine learning for anomaly detection, analyzing data access patterns to identify deviations that may indicate ransomware or unauthorized data movement. The Autonomous Recovery system applies AI for forensic analysis and continuous replication to verify recovery points and prevent reinfection. Data discovery and classification are automated through entity recognition and pattern-matching, classifying and tagging sensitive data to meet compliance requirements. Commvault also employs reinforcement learning to monitor data pipelines, detect potential data corruption, and trigger automated recovery actions to protect data integrity More š | 7% | |
Varonis - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Varonis | $VRNS |
|
Varonis Data Security Platform applies machine learning to detect anomalies in user behavior, classify sensitive data, and enforce risk-based access controls. It continuously monitors access patterns and deviations, flagging unusual data movement that may indicate insider threats or unauthorized access. The platform automates data discovery and classification using sentiment analysis, entity recognition, and pattern-matching algorithms, enabling organizations to prioritize risks and remediate exposures efficiently. Varonis' Athena AI integrates large language models (LLMs) to assist security analysts with natural language search, automated investigation playbooks, and proactive threat analysis, streamlining security operations and reducing manual workload. More šÆ | 12.1% |
Rubrik - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@RubrikInc | $RBRK | Rubrik Security Cloud integrates AI to enhance data protection, threat detection, and cyber recovery. Anomaly detection models analyze data access patterns and deviations to identify unauthorized encryption and exfiltration attempts. The generative AI assistant, Ruby, uses large language models (LLMs) to provide guided recovery workflows and structured decision support for cyber incidents. AI-driven data classification automates the discovery and protection of sensitive information, ensuring compliance with regulatory frameworks. Additionally, Rubrikās Annapurna service enables secure API-based access to enterprise data for generative AI application development, integrating with Amazon Bedrock to maintain security and compliance while leveraging AI models. More š | 4.7% |
Uses solutions like Security Information and Event Management (SIEM) and vulnerability management solutions, often supplemented with machine learning/AI, to detect, analyze, and respond to cyber threats by correlating security data from various sources.
Company (IR) | Domains | AI Capabilities | Revenue Growth (2024) | |
---|---|---|---|---|
Elastic N.V. - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@elastic | $ESTC |
|
Elastic has enhanced its security analytics platform with AI-powered Attack Discovery, leveraging large language models (LLMs) and retrieval-augmented generation (RAG) to prioritize critical threats for security operations centers (SOCs). The Elastic AI Assistant for Security helps analysts query data and investigate alerts, while Automatic Import streamlines SIEM onboarding with generative AI, reducing manual effort. More š | 19% |
Qualys - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Qualys | $QLYS |
|
Qualys has expanded its Enterprise TruRiskā¢ Platform with TotalAI, securing AI workloads by identifying vulnerabilities such as data leaks, injection issues, and model theft. It strengthens risk assessment for AI systems by addressing key security gaps. Additionally, TruRisk AI enhances asset identification, critical asset discovery, and proactive remediation to help organizations detect and mitigate risks more efficiently. More šÆ | 12% |
Rapid7 - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@Rapid7 | $RPD |
|
Rapid7ās AI Engine enhances threat detection and risk assessment by automating alert triage, distinguishing between malicious and benign events to reduce false positives. For vulnerability management, InsightVM incorporates an Active Risk Score, ranking vulnerabilities based on exploitation likelihood and impact, helping organizations prioritize remediation efforts. More šÆ | 8% |
SecureWorks - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@SecureWorks | $SCWX |
|
Secureworks' Taegisā¢ platform integrates AI to improve security operations. In fiscal 2024, AI reduced alert noise, doubled triage productivity, and improved notification times by 80%. Taegisā¢ Network Detection and Response (NDR) analyzes network traffic to detect anomalies such as unauthorized data transfers and ransomware activity. Taegisā¢ Identity Detection and Response (IDR) automates credential-based threat detection and executes predefined security playbooks. More šÆ | -21.1% |
Tenable - Stock Info ā¢ SEC Filing ā¢ Earning Transcripts |
@TenableSecurity | $TENB |
|
Tenable's ExposureAI employs generative AI to enhance exposure management by accelerating analysis and decision-making processes. The AI Aware feature in Tenable Vulnerability Management detects both authorized and unauthorized AI applications, libraries, and plugins, providing insights into associated vulnerabilities. Additionally, AI Security Posture Management (AI-SPM) offers visibility into AI resources across multi-cloud environments, enabling organizations to identify and mitigate AI-specific risks. More šÆ | 13% |
āNon-US Traded Cybersecurity Companies
These cybersecurity companies are listed on international stock exchanges outside of the United States, offering a wide range of security solutions across various domains.
Company (IR) | Ticker / Stock Exchange | Description | Domains | Revenue Growth (2024) | |
---|---|---|---|---|---|
Cyberoo | $CYB.MI - Borsa Italiana | @CYBEROO_ITALIA | $CYB | Provides MDR, threat protection, and cybersecurity services for businesses. More šÆ |
|
27.3% |
Darktrace | $DARK.L - LSE | @Darktrace | $DARK | Offers AI-driven cybersecurity for real-time threat detection and response. šÆ |
|
24.0% |
NCC Group | $NCC.L - LSE | @NCCGroupplc | $NCC | Cybersecurity consulting, managed services, and software security testing. More šÆ | -1.0% | |
Thales | $HO.PA - Euronext Paris | @ThalesGroup | $HO | Develops digital security solutions (encryption, IAM, secure communications). š |
|
9.2% |
Trend Micro | $TMICY - OTC (OTCMKTS) | @TrendMicro | $TMICY | Threat detection, cloud security, and endpoint protection. More šÆ |
|
4.4% |
WithSecure Oyj | $WITH.HE - Nasdaq Helsinki | @WithSecure | $WITH.HE | Endpoint protection, vulnerability mgmt, cloud security, consulting. More šÆ |
|
5.5% |
Yubico AB | $YUBICO.ST - Nasdaq Stockholm | @Yubico | $YUBICO | Hardware-based authentication (YubiKeys) for orgs and individuals. šÆ | 33.9% | |
AhnLab Inc. | $A053800.KQ - KOSDAQ | @AhnLabGlobal | Endpoint security, network security, and threat intelligence. šÆ |
|
2.5% |
Digital Arts Inc. | $2326.T - Tokyo Stock Exchange | @DA_IDL | Network and data security for business and education. šÆ |
|
-1.2% |
HENNGE K.K. | $4475.T - Tokyo Stock Exchange | @henngepr | Cloud security and email security solutions for business. šÆ |
|
23.5% |
Secunet Security Networks AG | $YSN.DE - XETRA | @secunet_AG | $YSN | Secure networking, identity access management, and cybersecurity consulting. šÆ |
|
3.4% |
āCybersecurity ETFs
These exchange-traded funds invest in diversified portfolios of companies operating across various cybersecurity domains, offering investors broad exposure to the cybersecurity market.
ETF Name | Ticker | Description | Total Return for 2024 | AUM (USD) |
---|---|---|---|---|
Amplify Cybersecurity ETF | $HACK | Tracks the Prime Cyber Defense Index, focusing on companies directly involved in the cybersecurity industry. | 23.3% | $1.94 billion |
First Trust NASDAQ Cybersecurity ETF | $CIBR | Aims to match the Nasdaq CTA Cybersecurity Indexā¢, targeting cybersecurity-focused tech and industrials firms. | 18.2% | $7.53 billion |
Global X Cybersecurity ETF | $BUG | Invests in companies benefiting from cybersecurity tech adoption, specifically those developing/managing security protocols to prevent intrusions/attacks. | 9.6% | $823.43 million |
āBusiness of Cybersecurity
Explore resources that offer insights into the business, strategy, and trends shaping the cybersecurity industry. These blogs, newsletters, reports, and podcasts provide valuable perspectives for professionals, founders, and investors looking to deepen their understanding of this dynamic field.
āBlogs and Newsletters
-
Venture in Security
Ross Haleliuk explores the business of cybersecurity, focusing on the ecosystem, players, angel investing, venture capital, go-to-market strategies, and product-led growth. -
Strategy of Security
Cole Grolmus analyzes the business and strategy of cybersecurity, covering trends, companies, products, and case studies relevant to cybersecurity leaders and operators. -
Anton on Security
Dr. Anton Chuvakin shares analysis on market sub-segments, with a focus on log management and emerging cybersecurity challenges. -
Return on Security
Mike Privette provides insights on security trends, a weekly newsletter about cybersecurity investments, and product trend reports. -
SecMoves
Karl Sharman, Forgepoint Capital, tracks the latest talent shifts, funding rounds, acquisitions, and job opportunities across the cybersecurity industry.
āPodcasts
-
The Cyber Brain
Weekly conversations with tech buyers on motivations, challenges, and strategies for cybersecurity marketers and founders. -
Hacker Valley
Features discussions with cybersecurity marketers about effective go-to-market strategies and lessons from successes and failures.
āMarket Insights and Research
-
Awesome Cybersecurity Stocks Watchlist
A curated list of publicly traded cybersecurity companies. -
Cybersecurity Ventures
Research and reports on cybercrime and market trends. -
Momentum Cyber
Industry reports, news, and insights on mergers, acquisitions, and market movements in cybersecurity. -
Statista: Global Cybersecurity Spending Forecast
Shows current and projected spending in the cybersecurity market. -
CB Insights: Cybersecurity Reports
Offers data-driven insights on the cybersecurity market. -
TechCrunch: Cybersecurity
Provides updates on startup news, market trends, and developments within the cybersecurity industry. -
Forrester: Cybersecurity Trends
Insights on cybersecurity strategies, technologies, and market trends from industry experts. -
Gartner: Cybersecurity Trends
Research on emerging challenges, solutions, and strategic insights shaping the cybersecurity landscape. -
CyberSeek Interactive Heatmap
Visualizes supply, demand, and career pathways in the cybersecurity job market.
āCybersecurity Solutions Categories
This section outlines 18 distinct cybersecurity solution categories, each supported by real-world vendor examples and AI-driven offerings to address diverse security challenges.
- Network Traffic Analysis (NTA): Monitors/analyzes network traffic for suspicious activity (e.g., Cisco Stealthwatch, Darktrace).
- Firewalls: Secures network perimeters/controls traffic flow (e.g., Palo Alto Networks NGFW, Cisco ASA).
- Intrusion Detection/Prevention Systems (IDS/IPS): Detects/prevents unauthorized access (e.g., Snort, Suricata).
- Micro-Segmentation: Restricts lateral movement within networks by enforcing security policies at a granular level, enhancing zero-trust architectures (e.g., Illumio Core).
- Network Access Control (NAC): Enforces security policies by controlling device access to enterprise networks, ensuring compliance before granting access (e.g., Aruba ClearPass).
- Endpoint Detection and Response (EDR): Real-time endpoint threat detection with capabilities for proactive identification of advanced threats (e.g., CrowdStrike Falcon, Carbon Black).
- Extended Detection and Response (XDR): Cross-layer detection and response, providing unified threat visibility and action across endpoints, networks, and cloud environments (e.g., Microsoft Defender XDR, Palo Alto Cortex XDR).
- Mobile Threat Defense (MTD): Protects mobile devices (e.g., Lookout, Zimperium).
- Endpoint Protection Platforms (EPP): Comprehensive device security (e.g., Symantec Endpoint Security, Trend Micro Apex One).
- Device Management: Centralized endpoint compliance/security (e.g., Microsoft Intune, Workspace ONE).
- Mobile Device Management (MDM): Centralized management and security of mobile devices, supporting diverse needs such as corporate fleets, personal devices in BYOD environments, and large-scale deployments (e.g., Cisco Meraki, VMware Workspace ONE, Jamf Pro, Ivanti, SOTI MobiControl, ManageEngine Mobile Device Manager Plus).
- SIEM (Security Info and Event Management): Centralized platforms for collecting, analyzing, and correlating security data to uncover potential threats (e.g., Splunk, IBM QRadar).
- XIEM (Extended IEM): Enhances traditional SIEM capabilities with advanced analytics and machine learning for deeper insights. (e.g., LogRhythm XIEM, Exabeam).
- Behavioral/Insider Threat Analytics: Detects anomalous and malicious activity by analyzing user and entity behavior patterns (e.g., Varonis, Securonix).
- Configuration Monitoring: Ensures authorized configurations only (e.g., Chef InSpec, Puppet Enterprise).
- Patch Management: Automates vulnerability patches (e.g., ManageEngine Patch Manager Plus, Ivanti Patch).
- SOAR: Platforms to automate incident investigation, containment, and remediation (e.g., Splunk Phantom, Palo Alto Cortex XSOAR).
- XOAR: Extended Orchestration for complex environments (e.g., IBM Resilient, Google Chronicle SOAR).
- Autonomous SOC Solutions: AI-driven systems to automate security operations, including detection and response processes (e.g., StrikeReady, Arcanna.ai).
- Threat Intelligence Platforms (TIPs): Aggregate/analyze threat data (e.g., Recorded Future, ThreatConnect).
- AI-Driven Threat Detection: Uses AI for threat detection (e.g., Darktrace, Vectra AI).
- User/Entity Behavior Analytics (UEBA): Analyzes activity patterns to detect potential security incidents before they escalate (e.g., Securonix UEBA, Exabeam).
- Deepfake Detection: Identifies AI-generated content for media integrity (e.g., Reality Defender, Truepic).
- Physical Security Controls: Prevents unauthorized data center access (e.g., HID Global, Bosch).
- Data Center Firewalls: Monitors/protects traffic within DCs (e.g., Fortinet FortiGate DC Firewall, Juniper SRX).
-
Data Loss Prevention (DLP): Prevents data leakage.
- Endpoint DLP, Network DLP, Storage DLP, Email DLP, etc.
- AI-Based Data Flow Mapping: Automates the discovery of sensitive data flows and risks (e.g., 1Touch.io, Cyberhaven).
- Cloud Access Security Broker (CASB): Provides visibility, compliance enforcement, and data protection for cloud-based services, ensuring secure usage of SaaS, IaaS, and PaaS environments (e.g., Cisco Cloudlock, Forcepoint CASB).
- Airgap Security: Utilizes physical or virtual isolation to protect systems from network threats, ensuring no direct network connectivity for critical systems.
- Privileged Access Management (PAM): Secures privileged accounts (e.g., CyberArk, BeyondTrust).
- Multi-Factor Authentication (MFA): Multiple identity verifications (e.g., Duo, Okta MFA).
- IGA (Identity Governance/Admin): Manages user permissions (e.g., SailPoint, IBM Security IGA).
- IAM: Controls system/data access (e.g., Okta, Azure AD).
- Secure Mobile Access: VPN/MFA for mobile users (e.g., Palo Alto Prisma Access, Zscaler Private Access).
- AI for Identity Security: Enhances identity verification processes with behavior analysis and fraud detection (e.g., Twine Security, RedBlock.ai).
- Customer Identity & Access Management (CIAM): Manages customer authentication, consent, and security for external users (e.g., Auth0, Ping Identity, ForgeRock).
- Identity Verification (IDV) & Identity Proofing: Uses biometrics and document validation to verify real-world identity (e.g., Onfido, Jumio, ID.me, Persona).
- DAST: Tests running apps for vulnerabilities (e.g., Burp Suite, OWASP ZAP).
- SAST: Analyzes source code (e.g., SonarQube, Checkmarx).
- IAST: Combines DAST + SAST (e.g., Contrast Security, Synopsys Seeker).
- RASP: In-app runtime protection (e.g., Imperva RASP, Signal Sciences RASP).
- SCA: Open-source vulnerability tracking (e.g., Snyk, WhiteSource).
- WAF: Web app firewall (e.g., Akamai Kona, Imperva WAF).
- Mobile App Security: Dev-time & runtime protection (e.g., Veracode Mobile, NowSecure).
- Cloud Workload Protection Platforms (CWPP): Provides comprehensive security for cloud-native workloads, including containers, virtual machines, and serverless functions. Features include vulnerability scanning, runtime monitoring, and compliance enforcement (e.g., Aqua Security, Sysdig Secure, Prisma Cloud).
- Software Supply Chain Security: Protects against risks in software development pipelines, including vulnerabilities, misconfigurations, and secrets in code repositories (e.g., GitGuardian, JFrog Xray, Sonatype Nexus).
- SBOM Tracking: Manages and tracks Software Bill of Materials for transparency and security in software components (e.g., Anchore, CycloneDX).
- AIBOM (AI Bill of Materials): Tracks and documents datasets, models, and dependencies in AI systems to enhance transparency and ensure secure deployment.
- AI for Application Security: Identifies vulnerabilities during development and deployment (e.g., Mobb.ai, Pixee.ai).
- Secure Email Gateway (SEG): Filters malicious email (e.g., Proofpoint, Mimecast).
- Anti-Phishing: Educates/detects phishing (e.g., KnowBe4, Cofense).
- Cloud Email Security: Secures hosted email (e.g., Microsoft Office 365 Defender, Google Workspace).
- AI-Enhanced Email Threat Detection: Identifies AI-crafted phishing attempts using advanced NLP and behavioral analysis (e.g., Tessian, Abnormal Security).
- Phishing Simulation: Tests staff on phishing recognition (e.g., KnowBe4, Cofense PhishMe).
- Security Awareness: Ongoing staff education (e.g., SANS Security Awareness).
- AI-Based Training Solutions: Personalizes awareness programs using behavior analysis (e.g., Culture.ai, Outthink.io).
- Risk Assessment Services: Evaluate and mitigate cybersecurity risks (e.g., Qualys Risk, Rapid7 Risk).
- Compliance Readiness: Prepare organizations for regulatory requirements (e.g., Deloitte, PwC).
- Adversarial Simulation and Vulnerability Assessments: Simulates real-world attack scenarios and conducts detailed assessments to uncover vulnerabilities in applications, systems, and networks, offering actionable insights for improving security resilience (e.g., NCC Group, Trustwave).
- AI-Driven Compliance Management: Leverages AI for automating compliance with regulatory standards (e.g., Styrk.ai, SurePath.ai).
- Managed Detection and Response (MDR): Combines advanced threat detection, 24/7 monitoring, and response services to identify and mitigate threats (e.g., CrowdStrike Falcon Complete, Rapid7 MDR).
- Incident Response Services: Expert-led investigation, containment, and recovery during or after security incidents, minimizing impact and reducing recovery time (e.g., Palo Alto Networks Unit 42).
- Continuous Vulnerability Management: Regular scans/remediation (e.g., Qualys VM, Nessus).
- CAASM (Cyber Asset Attack Surface Mgmt): Reduces overall attack surface (e.g., CyCognito, RiskIQ).
- Breach & Attack Simulation (BAS): Tests security defenses through real-world attack scenarios to uncover vulnerabilities and gaps (e.g., SafeBreach, AttackIQ).
- Incident Response Platforms: Streamlines and automates workflows to manage and contain security incidents effectively (e.g., IBM Resilient, ServiceNow Security IR).
- ICS Security Platforms: Protect operational tech from cyber threats (e.g., Nozomi Networks, Claroty).
- SCADA Security: Secures critical infrastructure (e.g., Siemens SCADA, Honeywell Industrial Cybersecurity).
- Compliance Management: Tracks adherence to standards (e.g., RSA Archer GRC, LogicManager).
- Risk Management: Identifies/mitigates organizational risks (e.g., ServiceNow GRC, MetricStream).
- Vendor Risk Assessment: Evaluates third-party security posture (e.g., BitSight, RiskRecon).
- Supply Chain Security: Monitors dependencies/supply chain (e.g., CyberGRX, Venafi).
- AI-Driven Third-Party Risk Insights: Offers automated insights into vendor vulnerabilities (e.g., Prevalent AI, Panorays AI).
āContributing
- š Star this repository if you found it helpful.
- š Report Issues to suggest fixes or improvements.
- š Submit a Pull Request to add new stocks or insights.
āDisclaimers
- Investment Disclaimer: This list is for informational purposes only and should not be construed as financial advice. Always do your own research before making investment decisions.
- Trademark Disclaimer: All product or company names are trademarksā¢ or registeredĀ® trademarks of their respective holders. Use does not imply endorsement.
āContact
- Email: [email protected]
- LinkedIn: Tal Eliyahu
- Twitter: @Eliyahu_Tal_
āLicense
This work is licensed under the MIT License.
Ā© 2025 Tal Eliyahu
For Tasks:
Click tags to check more tools for each tasksFor Jobs:
Alternative AI tools for awesome-business-of-cybersecurity
Similar Open Source Tools

cia
CIA is a powerful open-source tool designed for data analysis and visualization. It provides a user-friendly interface for processing large datasets and generating insightful reports. With CIA, users can easily explore data, perform statistical analysis, and create interactive visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, CIA offers a comprehensive set of features to streamline your data analysis workflow and uncover valuable insights.

db2rest
DB2Rest is a modern low-code REST DATA API platform that simplifies the development of intelligent applications. It seamlessly integrates existing and new databases with language models (LMs/LLMs) and vector stores, enabling the rapid delivery of context-aware, reasoning applications without vendor lock-in.

hdu-cs-wiki
The HDU Computer Science Lecture Notes is a comprehensive guide designed to help students navigate through various challenges in the field of computer science. It covers topics such as programming languages, artificial intelligence, software development, and more. The notes provide insights on how to effectively utilize university time, balance grades with project experience, and make informed decisions regarding career paths. Created by a collaborative effort involving students, teachers, and industry experts, the lecture notes aim to serve as a guiding tool for individuals seeking guidance in the computer science domain.

big-AGI
big-AGI is an AI suite designed for professionals seeking function, form, simplicity, and speed. It offers best-in-class Chats, Beams, and Calls with AI personas, visualizations, coding, drawing, side-by-side chatting, and more, all wrapped in a polished UX. The tool is powered by the latest models from 12 vendors and open-source servers, providing users with advanced AI capabilities and a seamless user experience. With continuous updates and enhancements, big-AGI aims to stay ahead of the curve in the AI landscape, catering to the needs of both developers and AI enthusiasts.

Streamline-Analyst
Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates tasks such as data cleaning, preprocessing, and complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. It aims to expedite the data analysis process, making it accessible to all, regardless of their expertise in data analysis. The tool is built to empower users to process data and achieve high-quality visualizations with unparalleled efficiency, and to execute high-performance modeling with the best strategies. Future enhancements include Natural Language Processing (NLP), neural networks, and object detection utilizing YOLO, broadening its capabilities to meet diverse data analysis needs.

rivet
Rivet is a desktop application for creating complex AI agents and prompt chaining, and embedding it in your application. Rivet currently has LLM support for OpenAI GPT-3.5 and GPT-4, Anthropic Claude Instant and Claude 2, [Anthropic Claude 3 Haiku, Sonnet, and Opus](https://www.anthropic.com/news/claude-3-family), and AssemblyAI LeMUR framework for voice data. Rivet has embedding/vector database support for OpenAI Embeddings and Pinecone. Rivet also supports these additional integrations: Audio Transcription from AssemblyAI. Rivet core is a TypeScript library for running graphs created in Rivet. It is used by the Rivet application, but can also be used in your own applications, so that Rivet can call into your own application's code, and your application can call into Rivet graphs.

LynxHub
LynxHub is a platform that allows users to seamlessly install, configure, launch, and manage all their AI interfaces from a single, intuitive dashboard. It offers features like AI interface management, arguments manager, custom run commands, pre-launch actions, extension management, in-app tools like terminal and web browser, AI information dashboard, Discord integration, and additional features like theme options and favorite interface pinning. The platform supports modular design for custom AI modules and upcoming extensions system for complete customization. LynxHub aims to streamline AI workflow and enhance user experience with a user-friendly interface and comprehensive functionalities.

ComfyUI-Copilot
ComfyUI-Copilot is an intelligent assistant built on the Comfy-UI framework that simplifies and enhances the AI algorithm debugging and deployment process through natural language interactions. It offers intuitive node recommendations, workflow building aids, and model querying services to streamline development processes. With features like interactive Q&A bot, natural language node suggestions, smart workflow assistance, and model querying, ComfyUI-Copilot aims to lower the barriers to entry for beginners, boost development efficiency with AI-driven suggestions, and provide real-time assistance for developers.

ClashRoyaleBuildABot
Clash Royale Build-A-Bot is a project that allows users to build their own bot to play Clash Royale. It provides an advanced state generator that accurately returns detailed information using cutting-edge technologies. The project includes tutorials for setting up the environment, building a basic bot, and understanding state generation. It also offers updates such as replacing YOLOv5 with YOLOv8 unit model and enhancing performance features like placement and elixir management. The future roadmap includes plans to label more images of diverse cards, add a tracking layer for unit predictions, publish tutorials on Q-learning and imitation learning, release the YOLOv5 training notebook, implement chest opening and card upgrading features, and create a leaderboard for the best bots developed with this repository.

sdnext
SD.Next is an Image Diffusion implementation with advanced features. It offers multiple UI options, diffusion models, and built-in controls for text, image, batch, and video processing. The tool is multiplatform, supporting Windows, Linux, MacOS, nVidia, AMD, IntelArc/IPEX, DirectML, OpenVINO, ONNX+Olive, and ZLUDA. It provides optimized processing with the latest torch developments, including model compile, quantize, and compress functionalities. SD.Next also features Interrogate/Captioning with various models, queue management, automatic updates, and mobile compatibility.

bitcart
Bitcart is a platform designed for merchants, users, and developers, providing easy setup and usage. It includes various linked repositories for core daemons, admin panel, ready store, Docker packaging, Python library for coins connection, BitCCL scripting language, documentation, and official site. The platform aims to simplify the process for merchants and developers to interact and transact with cryptocurrencies, offering a comprehensive ecosystem for managing transactions and payments.

Tinder_Automation_Bot
Tinder Automation Bot is an Appium-based tool designed for automated Tinder account creation and swiping on real devices. It offers functionalities such as automated account creation and swiping, along with integrations like Crane tweak and SMSPool service. The tool also provides features like device and automation management system, anti-bot system for human behavior modeling, IP rotation system for different IP addresses, and GPS location spoofing for different GPS coordinates. It is part of a series of automation bots including TikTok, Bumble, and Badoo automation bots.

chatbox
Chatbox is a desktop client for ChatGPT, Claude, and other LLMs, providing features like local data storage, multiple LLM provider support, image generation, enhanced prompting, keyboard shortcuts, and more. It offers a user-friendly interface with dark theme, team collaboration, cross-platform availability, web version access, iOS & Android apps, multilingual support, and ongoing feature enhancements. Developed for prompt and API debugging, it has gained popularity for daily chatting and professional role-playing with AI assistance.

airgeddon
Airgeddon is a versatile bash script designed for Linux systems to conduct wireless network audits. It provides a comprehensive set of features and tools for auditing and securing wireless networks. The script is user-friendly and offers functionalities such as scanning, capturing handshakes, deauth attacks, and more. Airgeddon is regularly updated and supported, making it a valuable tool for both security professionals and enthusiasts.

Tiktok_Automation_Bot
TikTok Automation Bot is an Appium-based tool for automating TikTok account creation and video posting on real devices. It offers functionalities such as automated account creation and video posting, along with integrations like Crane tweak, SMSActivate service, and IPQualityScore service. The tool also provides device and automation management system, anti-bot system for human behavior modeling, and IP rotation system for different IP addresses. It is designed to simplify the process of managing TikTok accounts and posting videos efficiently.