DAST

DAST (Dynamic Application Security Testing) is an automated security testing method that evaluates running applications by simulating real-world attacks to identify vulnerabilities in live environments. For AI governance and compliance, DAST is important because it helps organizations test deployed AI systems and their underlying infrastructure for security weaknesses that could be exploited to compromise model integrity, data privacy, or system availability. This testing approach is particularly valuable for ensuring that AI applications meet regulatory security requirements and maintain safe operations in production.

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ResearchGlobal2026-07-23

Hidden Characters, Visible Damage: ANSI Escape Injection in MCP Servers Can Silently Bypass Human Oversight and Corrupt Audit Logs

Bright Security has published research detailing ANSI Escape Sequence Injection (AESI), an attack class targeting Model Context Protocol (MCP) servers where invisible control characters smuggle hidden instructions into AI agent context. The attack can cause agents to take unauthorized actions, bypass human-in-the-loop review, and corrupt audit trail records. The research demonstrates automated detection methods and establishes the threat's credibility by referencing known CVEs in tools such as kubectl and Git.

prompt injection AI agent security MCP human oversight bypass audit trail integrity agentic AI Bright Security DAST