Equixly and XBOW both use autonomous AI agents to continuously test web applications for vulnerabilities, but they diverge on architecture: Equixly runs its own in-house AI trained on offensive securi…
Equixly's AI agent autonomously discovered an XML External Entity (XXE) injection vulnerability in the chat layer of a collaboration platform during a grey-box assessment. The agent identified a messa…
AI red teaming and AI penetration testing are distinct adversarial practices that target different weaknesses in generative AI systems. AI penetration testing seeks defects in the surrounding infrastr…
Equixly has built a proprietary AI model trained exclusively for offensive security testing, unlike competitors that wrap general-purpose models in prompts. The company argues that owning the model av…
Equixly released its June 2026 product update, introducing AI Red Teaming for testing large language models, an Attack Surface Graph for visualizing exposure, Discovery upgrades including scheduled sc…
Equixly launched a Model Context Protocol integration that embeds its continuous penetration testing platform directly into AI coding assistants like GitHub Copilot and Claude, allowing developers to …
Equixly launched an MCP integration that brings continuous, AI-driven penetration testing directly into AI coding assistants like GitHub Copilot and Claude. The integration allows developers to run se…
The NSA’s Model Context Protocol (MCP) security guidance and the OWASP MCP Top 10 risk framework can be mapped together to create a testable checklist for vetting MCP servers before deployment. Resear…
Equixly published a guide for CISOs on adopting AI penetration testing, addressing organizational decisions around program ownership, compliance fit, and board reporting. The guide examines how AI-dri…