Best AI tools for< Manage Cybersecurity Incidents >

SentinelOne is an advanced enterprise cybersecurity AI platform that offers a comprehensive suite of AI-powered security solutions for endpoint, cloud, and identity protection. The platform leverages artificial intelligence to anticipate threats, manage vulnerabilities, and protect resources across the entire enterprise ecosystem. With features such as Singularity XDR, Purple AI, and AI-SIEM, SentinelOne empowers security teams to detect and respond to cyber threats in real-time. The platform is trusted by leading enterprises worldwide and has received industry recognition for its innovative approach to cybersecurity.

CrowdStrike is a cloud-based cybersecurity platform that provides endpoint protection, threat intelligence, and incident response services. It uses artificial intelligence (AI) to detect and prevent cyberattacks. CrowdStrike's platform is designed to be scalable and easy to use, and it can be deployed on-premises or in the cloud. CrowdStrike has a global customer base of over 23,000 organizations, including many Fortune 500 companies.

Cyguru is an all-in-one cloud-based AI Security Operation Center (SOC) that offers a comprehensive range of features for a robust and secure digital landscape. Its Security Operation Center is the cornerstone of its service domain, providing AI-Powered Attack Detection, Continuous Monitoring for Vulnerabilities and Misconfigurations, Compliance Assurance, SecPedia: Your Cybersecurity Knowledge Hub, and Advanced ML & AI Detection. Cyguru's AI-Powered Analyst promptly alerts users to any suspicious behavior or activity that demands attention, ensuring timely delivery of notifications. The platform is accessible to everyone, with up to three free servers and subsequent pricing that is more than 85% below the industry average.

Bricklayer AI is an automated AI security team that empowers Security Operations Centers (SOCs) to manage alerts, incidents, and threats efficiently. It offers autonomous AI agents designed to work collaboratively with human experts, enabling faster and more effective security operations. Bricklayer AI helps organizations stay ahead of cyber threats by automating labor-intensive tasks and providing real-time analysis and response.

Stellar Cyber is an AI-driven unified security operations platform powered by Open XDR. It offers a single platform with NG-SIEM, NDR, and Open XDR, providing security capabilities to take control of security operations. The platform helps organizations detect, correlate, and respond to threats fast using AI technology. Stellar Cyber is designed to protect the entire attack surface, improve security operations performance, and reduce costs while simplifying security operations.

Exabeam is a cybersecurity and compliance platform that offers Security Information and Event Management (SIEM) solutions. The platform provides flexible choices for threat detection, investigation, and response, whether through cloud-based AI-driven solutions or on-premises SIEM deployments. Exabeam's AI-driven Security Operations Platform combines advanced threat detection capabilities with automation to deliver faster and more accurate TDIR. With features like UEBA, SOAR, and insider threat detection, Exabeam helps organizations improve security posture and optimize investments. The platform supports various industries and use cases, offering pre-built content, behavioral analytics, and context enrichment for enhanced threat coverage and compliance.

Darktrace is a cybersecurity platform that leverages AI technology to provide proactive protection against cyber threats. It offers cloud-native AI security solutions for networks, emails, cloud environments, identity protection, and endpoint security. Darktrace's AI Analyst investigates alerts at the speed and scale of AI, mimicking human analyst behavior. The platform also includes services such as 24/7 expert support and incident management. Darktrace's AI is built on a unique approach where it learns from the organization's data to detect and respond to threats effectively. The platform caters to organizations of all sizes and industries, offering real-time detection and autonomous response to known and novel threats.

Cyble is a leading threat intelligence platform offering products and services recognized by top industry analysts. It provides AI-driven cyber threat intelligence solutions for enterprises, governments, and individuals. Cyble's offerings include attack surface management, brand intelligence, dark web monitoring, vulnerability management, takedown and disruption services, third-party risk management, incident management, and more. The platform leverages cutting-edge AI technology to enhance cybersecurity efforts and stay ahead of cyber adversaries.

Vectra AI is a leading AI security platform that helps organizations stop advanced cyber attacks by providing an integrated signal for extended detection and response (XDR). The platform arms security analysts with real-time intelligence to detect, prioritize, investigate, and respond to threats across network, identity, cloud, and managed services. Vectra AI's AI-driven detections and Attack Signal Intelligence enable organizations to protect against various attack types and emerging threats, enhancing cyber resilience and reducing risks in critical infrastructure, cloud environments, and remote workforce scenarios. Trusted by over 1100 enterprises worldwide, Vectra AI is recognized for its expertise in AI security and its ability to stop sophisticated attacks that other technologies may miss.

MixMode is the world's most advanced AI for threat detection, offering a dynamic threat detection platform that utilizes patented Third Wave AI technology. It provides real-time detection of known and novel attacks with high precision, self-supervised learning capabilities, and context-awareness to defend against modern threats. MixMode empowers modern enterprises with unprecedented speed and scale in threat detection, delivering unrivaled capabilities without the need for predefined rules or human input. The platform is trusted by top security teams and offers rapid deployment, customization to individual network dynamics, and state-of-the-art AI-driven threat detection.

Vectra AI is an advanced AI-driven cybersecurity platform that helps organizations detect, prioritize, investigate, and respond to sophisticated cyber threats in real-time. The platform provides Attack Signal Intelligence to arm security analysts with the necessary intel to stop attacks fast. Vectra AI offers integrated signal for extended detection and response (XDR) across various domains such as network, identity, cloud, and endpoint security. Trusted by 1,500 enterprises worldwide, Vectra AI is known for its patented AI security solutions that deliver the best attack signal intelligence on the planet.

Dropzone AI is an award-winning AI application designed to reinforce Security Operations Centers (SOCs) by providing autonomous AI analysts. It replicates the techniques of elite analysts to autonomously investigate alerts, covering various use cases such as phishing, endpoint, network, cloud, identity, and insider threats. The application offers pre-trained AI agents that work alongside human analysts, automating investigation tasks and providing fast, detailed, and accurate reports. With built-in integrations with major security tools, Dropzone AI aims to reduce Mean Time to Respond (MTTR) and allow analysts to focus on addressing real threats.

Adversa AI is a platform that provides Secure AI Awareness, Assessment, and Assurance solutions for various industries to mitigate AI risks. The platform focuses on LLM Security, Privacy, Jailbreaks, Red Teaming, Chatbot Security, and AI Face Recognition Security. Adversa AI helps enable AI transformation by protecting it from cyber threats, privacy issues, and safety incidents. The platform offers comprehensive research, advisory services, and expertise in the field of AI security.

AirMDR is an AI-powered Managed Detection and Response (MDR) application that revolutionizes cybersecurity by leveraging artificial intelligence to automate routine tasks, enhance alert triage, investigation, and response processes. The application offers faster, higher-quality, and more affordable cybersecurity solutions, supervised by human experts. AirMDR aims to deliver unprecedented speed, superior quality, and cost-effective outcomes to cater to the unique demands of security operations centers.

CyberRiskAI.com is a website that is currently under development and is registered at Dynadot.com. The website is expected to offer services related to cyber risk management and artificial intelligence in the future. With a focus on cybersecurity and risk assessment, CyberRiskAI.com aims to provide innovative solutions to help businesses mitigate cyber threats and protect their digital assets. The platform is designed to leverage AI technologies to analyze and predict cyber risks, enabling users to make informed decisions to enhance their security posture.

CyberUpgrade.net is an AI-powered platform that offers comprehensive cybersecurity and compliance solutions for organizations of all sizes. It provides automated compliance, risk management, vendor risk assessment, policy management, audit management, and 24/7 security support. The platform features a cloud vulnerability scanner, security awareness training, pentesting, business continuity planning, disaster recovery planning, and an AI-powered assistant for seamless security support. CyberUpgrade helps CTOs understand their organization's security status, proposes improvement plans, guides execution, and prepares compliance documentation with a push of a button. It engages every employee individually for evidence collection and situation analysis, ensuring real cybersecurity measures are in place.

Kodora AI is a leading AI technology and advisory firm based in Australia, specializing in providing end-to-end AI services. They offer AI strategy development, use case identification, workforce AI training, and more. With a team of expert AI engineers and consultants, Kodora focuses on delivering practical outcomes for clients across various industries. The firm is known for its deep expertise, solution-focused approach, and commitment to driving AI adoption and innovation.

KnowBe4 is a human risk management platform that offers security awareness training, cloud email security, phishing protection, real-time coaching, compliance training, and AI defense agents. The platform integrates AI to help organizations drive awareness, change user behavior, and reduce human risk. KnowBe4 is trusted by 70,000 organizations worldwide and is known for its comprehensive security products and customer-centric approach.

Screen inventory365.co is a website that provides a platform for users to check the security of their site connection. Users can verify the security of their website by enabling cookies in their browser settings. The platform aims to ensure a safe and secure browsing experience for website owners and visitors.

edu720 is a science-backed learning platform that uses AI and nanolearning to redefine how workforces learn and achieve their goals. It provides pre-built learning modules on various topics, including cybersecurity, privacy, and AI ethics. edu720's 360-degree approach ensures that all employees, regardless of their status or location, fully understand and absorb the knowledge conveyed.

Awesome Responsible AI is a curated list of academic research, books, code of ethics, courses, data sets, frameworks, institutes, newsletters, principles, podcasts, reports, tools, regulations, and standards related to Responsible, Trustworthy, and Human-Centered AI. It covers various concepts such as Responsible AI, Trustworthy AI, Human-Centered AI, Responsible AI frameworks, AI Governance, and more. The repository provides a comprehensive collection of resources for individuals interested in ethical, transparent, and accountable AI development and deployment.

Awesome GPT + Security is a curated list of awesome security tools, experimental case or other interesting things with LLM or GPT. It includes tools for integrated security, auditing, reconnaissance, offensive security, detecting security issues, preventing security breaches, social engineering, reverse engineering, investigating security incidents, fixing security vulnerabilities, assessing security posture, and more. The list also includes experimental cases, academic research, blogs, and fun projects related to GPT security. Additionally, it provides resources on GPT security standards, bypassing security policies, bug bounty programs, cracking GPT APIs, and plugin security.

Admyral is an open-source Cybersecurity Automation & Investigation Assistant that provides a unified console for investigations and incident handling, workflow automation creation, automatic alert investigation, and next step suggestions for analysts. It aims to tackle alert fatigue and automate security workflows effectively by offering features like workflow actions, AI actions, case management, alert handling, and more. Admyral combines security automation and case management to streamline incident response processes and improve overall security posture. The tool is open-source, transparent, and community-driven, allowing users to self-host, contribute, and collaborate on integrations and features.

AutoAudit is an open-source large language model specifically designed for the field of network security. It aims to provide powerful natural language processing capabilities for security auditing and network defense, including analyzing malicious code, detecting network attacks, and predicting security vulnerabilities. By coupling AutoAudit with ClamAV, a security scanning platform has been created for practical security audit applications. The tool is intended to assist security professionals with accurate and fast analysis and predictions to combat evolving network threats.

VULNRΞPO is a vulnerability report generator and repository tool that prioritizes security by using browser-based encryption and storing data locally. It offers features such as custom templates for pentesters, importing issues from various security scanners, multiple report formats (TXT, HTML, DOCX, PDF), attachment support with checksum verification, changelog tracking, issue export to bugtrackers, AES encryption for report sharing, API integration for backend storage, report template customization, audit tool for research completeness, and local LLM model usage. The tool is designed for efficient vulnerability management and secure report generation.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

HackBot is an AI-powered cybersecurity chatbot designed to provide accurate answers to cybersecurity-related queries, conduct code analysis, and scan analysis. It utilizes the Meta-LLama2 AI model through the 'LlamaCpp' library to respond coherently. The chatbot offers features like local AI/Runpod deployment support, cybersecurity chat assistance, interactive interface, clear output presentation, static code analysis, and vulnerability analysis. Users can interact with HackBot through a command-line interface and utilize it for various cybersecurity tasks.

Hydra Dragon Antivirus is a comprehensive tool that combines dynamic and static analysis using Sandboxie for Windows with ClamAV, YARA-X, machine learning AI, behavior analysis, NLP-based detection, website signatures, Ghidra, and Snort. The tool provides a Machine Learning Malware and Benign Database for training, along with a guide for compiling from source. It offers features like Ghidra source code analysis, Java Development Kit setup, and detailed logs for malware detections. Users can join the Discord community server for support and follow specific guidelines for preparing the analysis environment. The tool emphasizes security measures such as cleaning up directories, avoiding sharing IP addresses, and ensuring ClamAV database installation. It also includes tips for effective analysis and troubleshooting common issues.

Tracecat is an open-source automation platform for security teams. It's designed to be simple but powerful, with a focus on AI features and a practitioner-obsessed UI/UX. Tracecat can be used to automate a variety of tasks, including phishing email investigation, evidence collection, and remediation plan generation.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

Purple Llama is an umbrella project that aims to provide tools and evaluations to support responsible development and usage of generative AI models. It encompasses components for cybersecurity and input/output safeguards, with plans to expand in the future. The project emphasizes a collaborative approach, borrowing the concept of purple teaming from cybersecurity, to address potential risks and challenges posed by generative AI. Components within Purple Llama are licensed permissively to foster community collaboration and standardize the development of trust and safety tools for generative AI.

Panora is an open-source unified API tool that allows users to easily integrate and interact with various software platforms. It provides features like Magic Links for data access, Custom Fields for specific data points, Passthrough Requests for interacting with other platforms, and Webhooks for receiving normalized data. The tool supports integrations with CRM, Ticketing, ATS, HRIS, File Storage, Ecommerce, and more. Users can easily manage contacts, deals, notes, engagements, tasks, users, companies, and other data across different platforms. Panora aims to simplify data management and streamline workflows for businesses.

FoundationaLLM is a platform designed for deploying, scaling, securing, and governing generative AI in enterprises. It allows users to create AI agents grounded in enterprise data, integrate REST APIs, experiment with large language models, centrally manage AI agents and assets, deploy scalable vectorization data pipelines, enable non-developer users to create their own AI agents, control access with role-based access controls, and harness capabilities from Azure AI and Azure OpenAI. The platform simplifies integration with enterprise data sources, provides fine-grain security controls, load balances across multiple endpoints, and is extensible to new data sources and orchestrators. FoundationaLLM addresses the need for customized copilots or AI agents that are secure, licensed, flexible, and suitable for enterprise-scale production.

LinkedIn_AIHawk is an automated tool designed to revolutionize the job search and application process on LinkedIn. It leverages automation and artificial intelligence to efficiently apply to relevant positions, personalize responses, manage application volume, filter listings, generate dynamic resumes, and handle sensitive information securely. The tool aims to save time, increase application relevance, and enhance job search effectiveness in today's competitive landscape.

Fueling-Ambitions-Via-Book-Discoveries is an Advanced Machine Learning & AI Course designed for students, professionals, and AI researchers. The course integrates rigorous theoretical foundations with practical coding exercises, ensuring learners develop a deep understanding of AI algorithms and their applications in finance, healthcare, robotics, NLP, cybersecurity, and more. Inspired by MIT, Stanford, and Harvard’s AI programs, it combines academic research rigor with industry-standard practices used by AI engineers at companies like Google, OpenAI, Facebook AI, DeepMind, and Tesla. Learners can learn 50+ AI techniques from top Machine Learning & Deep Learning books, code from scratch with real-world datasets, projects, and case studies, and focus on ML Engineering & AI Deployment using Django & Streamlit. The course also offers industry-relevant projects to build a strong AI portfolio.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |

Rew1ndAI2024 is a tool designed to activate and manage licenses for a specific software on Windows 10/11. It provides features such as activation license, freezing the trial period, and resetting activation/trial. The tool uses the registry lock method and requires an internet connection for certain operations.

Expert in crafting cybersecurity announcements

Cybersecurity Analyst specialized in the NIST Framework

Updates on CVEs from GitHub repo in table format.

Ensures information security through policy development and risk assessments.

Team of experts assisting CISOs, CIOs, Exec Teams, and Board Directors in cyber risk oversight and security program management, providing actionable strategic, operational, and tactical support. Enhanced with advanced technical security architecture and engineering expertise.

Expert in cyber security standards and privacy information management

Expert en législation de la cybersécurité

Advanced cybersecurity strategy and insight specialist

it is a meticulously crafted arsenal of knowledge, insights, and guidelines that is shaped to empower organizations in crafting, enhancing, and refining their cybersecurity defenses

Expert advice in education and cybersecurity, based on NICE Framework and CIS Controls

Expert on Australian cybersecurity frameworks and legislation.

Explains data breaches, reasons, impacts, and identifies criminal groups.

Cyber incident response assistant for triage and guided support.

Analista detalhado de ameaças cibernéticas e planejador

Cyber Asset Identification Expert

Interactive Cybersecurity Tutor capable of autonomous management of your knowledge.

CMMC Coach: Guiding through CMMC processes with tailored strategies, interactive training, and regulatory compliance. https://www.sikich.com/technology/contact-us/ 877.403.5227 | [email protected]

Secure, Smart, and Synchronized

Interactive on Network (IoN) Automation SCP (IoN-A-SCP)™ AI-copilot (BETA)

Bash terminal emulator with code-block responses