Tools and resources for securing AI systems and protecting against AI-powered threats. Task: Automation
Explore 5 curated tools and resources
An automated red teaming and security testing platform that continuously evaluates conversational AI applications for vulnerabilities and compliance with security standards.
XBOW is an AI-driven tool that autonomously discovers and exploits web application vulnerabilities, aiming to match the capabilities of experienced human pentesters.
FortiAI is an AI assistant that uses generative AI combined with Fortinet's security expertise to guide analysts through threat investigation, response automation, and complex SecOps workflows.
Infinity Platform / Infinity AI is an AI-powered threat intelligence and generative AI service that combines AI-powered threat intelligence with generative AI capabilities for comprehensive threat prevention, automated threat response, and efficient security administration.
VIDOC is an AI-powered security tool that automates code review, detects and fixes vulnerabilities, and monitors external security, ensuring the integrity of both human-written and AI-generated code in software development pipelines.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
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Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.