Bright Security's AI Pentesting Module distinguishes runtime-validated AI pentesting from legacy automated tools by emphasizing deterministic proof of exploitability, with a five-stage workflow (Disco…
A new testing guide from Bright Security argues that the riskiest part of an enterprise AI agent is not the model but the authority wrapped around it, and that security testing must cover the executio…
Bright Security's DAST scanner now detects three MCP session management attacks—predictable session IDs, session ID used as authentication, and sessions not invalidated—in Model Context Protocol (MCP)…
Bright Security published research on ANSI escape sequence injection in MCP servers, an attack class that exploits the gap between what a terminal renders and what an AI agent reads. The attack can hi…
Security researchers have identified ANSI escape sequence injection (AESI) vulnerabilities in Model Context Protocol (MCP) servers that allow attackers to hide instructions from human reviewers while …
AI-powered penetration testing dramatically improves coverage and enables continuous security assessments, but findings require runtime validation to distinguish exploitable vulnerabilities from noise…
Bright Security has introduced an AI-powered feature called Bright STAR that automates the mapping of security vulnerabilities to PCI DSS compliance requirements, addressing the operational challenge …
Automated security validation reduces application security costs by eliminating false positives and wasted engineering time, according to Bright Security. The company's Bright STAR platform validates …