Ghost Ops

Ghost Ops is an autonomous AI counterintelligence platform built to detect, investigate, and contain threats targeting AI agents. As autonomous agents gain access to tools, sensitive data, and persistent memory, they introduce new security risks. Ghost Ops addresses these threats by monitoring agent behavior, verifying identities, detecting memory manipulation, and blocking unauthorized actions before they execute. The platform combines four security engines: AgentDNA for behavioral fingerprinting, ShadowWatch for rogue-agent detection, MemoryGuard for memory integrity protection, and GhostTrap for deception and honeypot monitoring. Through an authenticated MCP security gateway, Ghost Ops enforces tool permissions in real time. Its autonomous threat-hunting system correlates suspicious activity across multiple agents, reconstructs incidents, and supports controlled containment with verifiable forensic evidence. Ghost Ops has demonstrated real AI-model inference, cross-process agent execution, live vulnerability intelligence retrieval, and prevention of unauthorized tool operations. Our mission is to make autonomous AI systems safer by giving developers the ability to see what their agents are doing, understand when something goes wrong, and stop threats before they cause damage.