Red teaming agentic AI: should you go manual, in-house, or continuous?
A practical framework for comparing manual, in-house, and continuous red teaming of AI agents across coverage, cost, staffing, and compliance needs.
A practical framework for comparing manual, in-house, and continuous red teaming of AI agents across coverage, cost, staffing, and compliance needs.
Adversa AI won in the Safety and Alignment category, recognized for advancing real-world AI safety through continuous adversarial testing of AI systems.
Full technical guide to Agent Goal Hijack, the #1 risk in the OWASP Agentic Top 10. Explore the attack surface, practical risks, attack examples and practical defense frameworks.
Explore 19 resources covering the massive LiteLLM supply chain compromise, 128K+ context window poisoning, compound RAG database exploits, and the latest defense approaches for April 2026.
Our April 2026 MCP resources digest highlights the latest vulnerability research and practical defenses. Discover how to audit MCP servers and lock down your AI infrastructure today.
Adversa AI red team found Claude Code’s deny rules silently stop working after 50 subcommands. The fix exists in Anthropic’s codebase. They never shipped it
Our April 2026 digest breaks down critical security issues like privilege escalation flaws in OpenClaw and the hijacking of Chrome’s Gemini Live assistant. Explore 34 essential resources to help you secure your autonomous digital workforce.
Recognized Among Hundreds of Vendors for Advancing Continuous AI Red Teaming and Agentic AI Security.
This post maps the six threat actors your red team should be simulating, the five expertise domains required to find them, and the uncomfortable math showing most teams cover only 20% of the actual attack surface.