Autonomous AI code scanners can be tricked by seemingly legitimate instructions in README files to execute malware without triggering classical security checks.
Successful human-agent teams require agents with persistent memory, independent credentials, and broad access to organizational information, plus clear, transparent workflows at the workspace level rather than fragmented access boundaries.
Poisoned descriptions in Model Context Protocol (MCP) tools enable attackers to abuse AI agents into sharing data while security control mechanisms remain silent.
Agentic AI automates the linking of technical security data with business processes to prioritize cyber risks strategically and provide leadership with reliable decision-making foundations.
