Best AI tools for< Api Security Analyst >

Traceable is an intelligent API security platform designed for enterprise-scale security. It offers unmatched API discovery, attack detection, threat hunting, and infinite scalability. The platform provides comprehensive protection against API attacks, fraud, and bot security, along with API testing capabilities. Powered by Traceable's OmniTrace Engine, it ensures unparalleled security outcomes, remediation, and pre-production testing. Security teams trust Traceable for its speed and effectiveness in protecting API infrastructures.

Traceable is an AI-driven application designed to enhance API security for Cloud-Native Apps. It collects API traffic across the application landscape and utilizes advanced context-based behavioral analytics AI engine to provide insights on APIs, data exposure, threat analytics, and forensics. The platform offers features for API cataloging, activity monitoring, endpoint details, ownership, vulnerabilities, protection against security events, testing, analytics, and more. Traceable also allows for role-based access control, policy configuration, data classification, and integration with third-party solutions for data collection and security. It is a comprehensive tool for API security and threat detection in modern cloud environments.

AquilaX is an AI-powered DevSecOps platform that simplifies security and accelerates development processes. It offers a comprehensive suite of security scanning tools, including secret identification, PII scanning, SAST, container scanning, and more. AquilaX is designed to integrate seamlessly into the development workflow, providing fast and accurate results by leveraging AI models trained on extensive datasets. The platform prioritizes developer experience by eliminating noise and false positives, making it a go-to choice for modern Secure-SDLC teams worldwide.

PerfAI.ai is an AI-driven platform that focuses on API privacy, security, and governance. It offers comprehensive solutions to protect SaaS, mobile, and public APIs against AI attacks. The platform delivers privacy-compliant and secure APIs by continuously testing API changes for leaks and vulnerabilities before they go live in production. PerfAI.ai supports top industry standards for privacy, security, and governance testing, automates the generation of custom privacy and security tests, suggests fixes for issues, and generates detailed security and compliance reports.

Escape is a platform designed to discover and secure APIs, SPAs, and Microservices efficiently. It offers features like mapping and documenting APIs, detecting vulnerabilities with a proprietary DAST algorithm, and integrating seamlessly into existing security stacks. Escape provides solutions for API security, GraphQL security, and automated pentesting. It helps users proactively detect security flaws, simplify compliance management, and deploy developer-friendly remediations. The platform is praised for its innovative Business Logic Security Testing Algorithm and its ability to find and fix complex security issues in modern application stacks.

ZeroThreat is a web app and API security scanner that helps businesses identify and fix vulnerabilities in their web applications and APIs. It uses a combination of static and dynamic analysis techniques to scan for a wide range of vulnerabilities, including OWASP Top 10, CWE Top 25, and SANS Top 25. ZeroThreat also provides continuous monitoring and alerting, so businesses can stay on top of new vulnerabilities as they emerge.

Equixly is an AI-powered application designed to help users secure their APIs by identifying vulnerabilities and weaknesses through continuous security testing. The platform offers features such as scalable API PenTesting, attack simulation, mapping of attack surfaces, compliance simplification, and data exposure minimization. Equixly aims to streamline the process of identifying and fixing API security risks, ultimately enabling users to release secure code faster and reduce their attack surface.

Link Shield is an AI-powered malicious URL detection API platform that helps protect online security. It utilizes advanced machine learning algorithms to analyze URLs and identify suspicious activity, safeguarding users from phishing scams, malware, and other harmful threats. The API is designed for ease of integration, affordability, and flexibility, making it accessible to developers of all levels. Link Shield empowers businesses to ensure the safety and security of their applications and online communities.

Mxface is a leading face recognition API technology that offers advanced computer vision and AI APIs for developers. The platform provides services like face detection, face comparing, face landmarks, face attributes, face search, iris recognition, fingerprint recognition, and people detection. Mxface ensures data security, real-time face recognition, precision, easy face enrollment, and device integration. It is a cloud-based facial recognition solution that supports various use cases and offers comprehensive security features.

Tracecat is an open-source security automation platform that helps you automate security alerts, build AI-assisted workflows, orchestrate alerts, and close cases fast. It is a Tines / Splunk SOAR alternative that is built for builders and allows you to experiment for free. You can deploy Tracecat on your own infrastructure or use Tracecat Cloud with no maintenance overhead. Tracecat is Apache-2.0 licensed, which means it is open vision, open community, and open development. You can have your say in the future of security automation. Tracecat is no-code first, but you can also code as well. You can build automations fast with no-code and customize without vendor lock-in using Python. Tracecat has a click-and-drag workflow builder that allows you to automate SecOps using pre-built actions (API calls, webhooks, data transforms, AI tasks, and more) combined into workflows. No code is required. Tracecat also has a built-in case management system that allows you to open cases directly from workflows and track and manage security incidents all in one platform.

AppSec Assistant is an AI-powered application designed to provide automated security recommendations in Jira Cloud. It focuses on ensuring data security by enabling secure-by-design software development. The tool simplifies setup by allowing users to add their OpenAI API key and organization, encrypts and stores data using Atlassian's Storage API, and provides tailored security recommendations for each ticket to reduce manual AppSec reviews. AppSec Assistant empowers developers by keeping up with their pace and helps in easing the security review bottleneck.

SharkGate is an AI-driven cybersecurity platform that focuses on protecting websites from various cyber threats. The platform offers solutions for mobile security, password management, quantum computing threats, API security, and cloud security. SharkGate leverages artificial intelligence and machine learning to provide advanced threat detection and response capabilities, ensuring the safety and integrity of digital assets. The platform has received accolades for its innovative approach to cybersecurity and has secured funding from notable organizations.

Cloudflare is a platform that offers a range of products and services to help users build, secure, and optimize their websites and applications. It provides solutions for web analytics, troubleshooting errors, domain registration, content delivery, and more. Cloudflare also offers developer products like Workers and AI products like AI Vectorize and AI Gateway. Additionally, Cloudflare provides Zero Trust Access, Tunnel Gateway, and Browser Isolation services to enhance security and performance. The platform aims to simplify the process of managing online assets and improving user experience.

Operant is a cloud-native runtime protection platform that offers instant visibility and control from infrastructure to APIs. It provides AI security shield for applications, API threat protection, Kubernetes security, automatic microsegmentation, and DevSecOps solutions. Operant helps defend APIs, protect Kubernetes, and shield AI applications by detecting and blocking various attacks in real-time. It simplifies security for cloud-native environments with zero instrumentation, application code changes, or integrations.

SafeSpeak is an AI-powered mobile security solution that protects users from phone scams, SIM swaps, and other malicious activities. It uses advanced machine learning and large language models to detect and block threats in real-time. SafeSpeak offers a range of features for both personal and business use, including malicious behavior detection, community immunity, SIM swap detection, weekly and monthly reporting, quick and easy setup, admin dashboard, extensible API, custom reporting, and visibility into tactics, techniques, and procedures (TTPs).

The website is a comprehensive platform for software development news, covering a wide range of topics such as AI, DevOps, Observability, CI/CD, Cloud Native, Data, Test Automation, Mobile, API, Performance, Security, DevSecOps, Enterprise Security, Supply Chain Security, Teams & Culture, Dev Manager, Agile, Value Stream, Productivity, and more. It provides news articles, webinars, podcasts, and white papers to keep developers informed about the latest trends and technologies in the software development industry.

ODIN is a powerful internet scanning search engine designed for scanning and cataloging internet assets. It offers enhanced scanning capabilities, faster refresh rates, and comprehensive visibility into open ports. With over 45 modules covering various aspects like HTTP, Elasticsearch, and Redis, ODIN enriches data and provides accurate and up-to-date information. The application uses AI/ML algorithms to detect exposed buckets, files, and potential vulnerabilities. Users can perform granular searches, access exploit information, and integrate effortlessly with ODIN's API, SDKs, and CLI. ODIN allows users to search for hosts, exposed buckets, exposed files, and subdomains, providing detailed insights and supporting diverse threat intelligence applications.

ODIN is a powerful internet scanning search engine designed for scanning and cataloging internet assets. It offers enhanced scanning capabilities, faster refresh rates, and comprehensive visibility into open ports. With over 45 modules covering various services, ODIN provides detailed insights using Lucene query syntax. It identifies potential CVEs, accesses exploit information, and enables reverse searches for threat investigations. ODIN also offers AI/ML-based exposed buckets detection, API integration, and SDKs in multiple languages. Users can search for hosts, exposed buckets, exposed files, and subdomains, with granular searches and seamless integrations. The application is developer-friendly, with APIs, SDKs, and CLI available for automation and programmatic integration.

DeepSentinel is an AI application that provides secure AI workflows with affordable deep data privacy. It offers a robust, scalable platform for safeguarding AI processes with advanced security, compliance, and seamless performance. The platform allows users to track, protect, and control their AI workflows, ensuring secure and efficient operations. DeepSentinel also provides real-time threat monitoring, granular control, and global trust for securing sensitive data and ensuring compliance with international regulations.

Rebuff AI is an AI tool designed as a self-hardening prompt injection detector. It is built to strengthen its prompt detection capabilities as it faces more attacks. The tool aims to protect the AI community by providing a reliable and robust solution for prompt injection detection. Rebuff AI offers an API for developers to integrate its functionality into their applications, ensuring enhanced security measures against malicious prompt injections.

uuWAF is an industrial-grade, free, high-performance, highly extensible web application and API security protection product that supports AI and semantic engines.

AIShield Watchtower is a tool designed to fortify the security of AI/ML models and Jupyter notebooks by automating model and notebook discoveries, conducting vulnerability scans, and categorizing risks into 'low,' 'medium,' 'high,' and 'critical' levels. It supports scanning of public GitHub repositories, Hugging Face repositories, AWS S3 buckets, and local systems. The tool generates comprehensive reports, offers a user-friendly interface, and aligns with industry standards like OWASP, MITRE, and CWE. It aims to address the security blind spots surrounding Jupyter notebooks and AI models, providing organizations with a tailored approach to enhancing their security efforts.

last_layer is a security library designed to protect LLM applications from prompt injection attacks, jailbreaks, and exploits. It acts as a robust filtering layer to scrutinize prompts before they are processed by LLMs, ensuring that only safe and appropriate content is allowed through. The tool offers ultra-fast scanning with low latency, privacy-focused operation without tracking or network calls, compatibility with serverless platforms, advanced threat detection mechanisms, and regular updates to adapt to evolving security challenges. It significantly reduces the risk of prompt-based attacks and exploits but cannot guarantee complete protection against all possible threats.

The NVIDIA AI Blueprint for Vulnerability Analysis for Container Security showcases accelerated analysis on common vulnerabilities and exposures (CVE) at an enterprise scale, reducing mitigation time from days to seconds. It enables security analysts to determine software package vulnerabilities using large language models (LLMs) and retrieval-augmented generation (RAG). The blueprint is designed for security analysts, IT engineers, and AI practitioners in cybersecurity. It requires NVAIE developer license and API keys for vulnerability databases, search engines, and LLM model services. Hardware requirements include L40 GPU for pipeline operation and optional LLM NIM and Embedding NIM. The workflow involves LLM pipeline for CVE impact analysis, utilizing LLM planner, agent, and summarization nodes. The blueprint uses NVIDIA NIM microservices and Morpheus Cybersecurity AI SDK for vulnerability analysis.

Agentic Security is an open-source vulnerability scanner designed for safety scanning, offering customizable rule sets and agent-based attacks. It provides comprehensive fuzzing for any LLMs, LLM API integration, and stress testing with a wide range of fuzzing and attack techniques. The tool is not a foolproof solution but aims to enhance security measures against potential threats. It offers installation via pip and supports quick start commands for easy setup. Users can utilize the tool for LLM integration, adding custom datasets, running CI checks, extending dataset collections, and dynamic datasets with mutations. The tool also includes a probe endpoint for integration testing. The roadmap includes expanding dataset variety, introducing new attack vectors, developing an attacker LLM, and integrating OWASP Top 10 classification.

HaE is a framework project in the field of network security (data security) that combines artificial intelligence (AI) large models to achieve highlighting and information extraction of HTTP messages (including WebSocket). It aims to reduce testing time, focus on valuable and meaningful messages, and improve vulnerability discovery efficiency. The project provides a clear and visual interface design, simple interface interaction, and centralized data panel for querying and extracting information. It also features built-in color upgrade algorithm, one-click export/import of data, and integration of AI large models API for optimized data processing.

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.

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.

Awesome LLM Security is a curated collection of tools, documents, and projects related to Large Language Model (LLM) security. It covers various aspects of LLM security including white-box, black-box, and backdoor attacks, defense mechanisms, platform security, and surveys. The repository provides resources for researchers and practitioners interested in understanding and safeguarding LLMs against adversarial attacks. It also includes a list of tools specifically designed for testing and enhancing LLM security.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

PentAGI is an innovative tool for automated security testing that leverages cutting-edge artificial intelligence technologies. It is designed for information security professionals, researchers, and enthusiasts who need a powerful and flexible solution for conducting penetration tests. The tool provides secure and isolated operations in a sandboxed Docker environment, fully autonomous AI-powered agent for penetration testing steps, a suite of 20+ professional security tools, smart memory system for storing research results, web intelligence for gathering information, integration with external search systems, team delegation system, comprehensive monitoring and reporting, modern interface, API integration, persistent storage, scalable architecture, self-hosted solution, flexible authentication, and quick deployment through Docker Compose.

Nesa is a tool that allows users to run on-prem AI for a fraction of the cost through a blind API. It provides blind privacy, zero latency on protected inference, wide model coverage, cost savings compared to cloud and on-prem AI, RAG support, and ChatGPT compatibility. Nesa achieves blind AI through Equivariant Encryption (EE), a new security technology that provides complete inference encryption with no additional latency. EE allows users to perform inference on neural networks without exposing the underlying data, preserving data privacy and security.

Awesome LLM for APR is a repository dedicated to exploring the capabilities of Large Language Models (LLMs) in Automated Program Repair (APR). It provides a comprehensive collection of research papers, tools, and resources related to using LLMs for various scenarios such as repairing semantic bugs, security vulnerabilities, syntax errors, programming problems, static warnings, self-debugging, type errors, web UI tests, smart contracts, hardware bugs, performance bugs, API misuses, crash bugs, test case repairs, formal proofs, GitHub issues, code reviews, motion planners, human studies, and patch correctness assessments. The repository serves as a valuable reference for researchers and practitioners interested in leveraging LLMs for automated program repair.

OpenShield is a firewall designed for AI models to protect against various attacks such as prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain vulnerabilities, sensitive information disclosure, insecure plugin design, excessive agency granting, overreliance, and model theft. It provides rate limiting, content filtering, and keyword filtering for AI models. The tool acts as a transparent proxy between AI models and clients, allowing users to set custom rate limits for OpenAI endpoints and perform tokenizer calculations for OpenAI models. OpenShield also supports Python and LLM based rules, with upcoming features including rate limiting per user and model, prompts manager, content filtering, keyword filtering based on LLM/Vector models, OpenMeter integration, and VectorDB integration. The tool requires an OpenAI API key, Postgres, and Redis for operation.

LLM Guard is a comprehensive tool designed to fortify the security of Large Language Models (LLMs). It offers sanitization, detection of harmful language, prevention of data leakage, and resistance against prompt injection attacks, ensuring that your interactions with LLMs remain safe and secure.

The MiniAiLive Face Recognition LivenessDetection Server SDK provides system integrators with fast, flexible, and extremely precise facial recognition that can be deployed across various scenarios, including security, access control, public safety, fintech, smart retail, and home protection. The SDK is fully on-premise, meaning all processing happens on the hosting server, and no data leaves the server. The project structure includes bin, cpp, flask, model, python, test_image, and Dockerfile directories. To set up the project on Linux, download the repo, install system dependencies, and copy libraries into the system folder. For Windows, contact MiniAiLive via email. The C++ example involves replacing the license key in main.cpp, building the project, and running it. The Python example requires installing dependencies and running the project. The Python Flask example involves replacing the license key in app.py, installing dependencies, and running the project. The Docker Flask example includes building the docker image and running it. To request a license, contact MiniAiLive. Contributions to the project are welcome by following specific steps. An online demo is available at https://demo.miniai.live. Related products include MiniAI-Face-Recognition-LivenessDetection-AndroidSDK, MiniAI-Face-Recognition-LivenessDetection-iOS-SDK, MiniAI-Face-LivenessDetection-AndroidSDK, MiniAI-Face-LivenessDetection-iOS-SDK, MiniAI-Face-Matching-AndroidSDK, and MiniAI-Face-Matching-iOS-SDK. MiniAiLive is a leading AI solutions company specializing in computer vision and machine learning technologies.

Awesome_GPT_Super_Prompting is a repository that provides resources related to Jailbreaks, Leaks, Injections, Libraries, Attack, Defense, and Prompt Engineering. It includes information on ChatGPT Jailbreaks, GPT Assistants Prompt Leaks, GPTs Prompt Injection, LLM Prompt Security, Super Prompts, Prompt Hack, Prompt Security, Ai Prompt Engineering, and Adversarial Machine Learning. The repository contains curated lists of repositories, tools, and resources related to GPTs, prompt engineering, prompt libraries, and secure prompting. It also offers insights into Cyber-Albsecop GPT Agents and Super Prompts for custom GPT usage.

NGCBot is a WeChat bot based on the HOOK mechanism, supporting scheduled push of security news from FreeBuf, Xianzhi, Anquanke, and Qianxin Attack and Defense Community, KFC copywriting, filing query, phone number attribution query, WHOIS information query, constellation query, weather query, fishing calendar, Weibei threat intelligence query, beautiful videos, beautiful pictures, and help menu. It supports point functions, automatic pulling of people, ad detection, automatic mass sending, Ai replies, rich customization, and easy for beginners to use. The project is open-source and periodically maintained, with additional features such as Ai (Gpt, Xinghuo, Qianfan), keyword invitation to groups, automatic mass sending, and group welcome messages.

SecReport is a platform for collaborative information security penetration testing report writing and exporting, powered by ChatGPT. It standardizes penetration testing processes, allows multiple users to edit reports, offers custom export templates, generates vulnerability summaries and fix suggestions using ChatGPT, and provides APP security compliance testing reports. The tool aims to streamline the process of creating and managing security reports for penetration testing and compliance purposes.

LLAMATOR is a Red Teaming python-framework designed for testing chatbots and LLM-systems. It provides support for custom attacks, a wide range of attacks on RAG/Agent/Prompt in English and Russian, custom configuration of chat clients, history of attack requests and responses in Excel and CSV format, and test report document generation in DOCX format. The tool is classified under OWASP for Prompt Injection, Prompt Leakage, and Misinformation. It is supported by AI Security Lab ITMO, Raft Security, and AI Talent Hub.

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