Unmasking the Proxy: Forensics and Mitigation of Model Context Protocol (MCP) Hijacking in Autonomous AI Workflows
Learn how attackers hijack Model Context Protocol (MCP) servers in…
Learn how attackers hijack Model Context Protocol (MCP) servers in…
Discover how attackers manipulate autonomous AI agents through indirect tool-call…
Discover how threat actors target the Model Context Protocol (MCP)…
Discover how threat actors exploit Model Context Protocol (MCP) implementations…
Discover how attackers hijack autonomous AI agents via tool execution,…
Learn how to detect, investigate, and prevent Tool-Calling Hijacking in…
Dr. Ankit Agarwal is a seasoned academic and researcher with over 15 years of experience in the fields of information technology and cybersecurity. He holds a Ph.D. in Computer Science and an M.Tech in Information Security. His work spans across cybersecurity, digital forensics, cryptography, and machine learning. He has been granted 2 patents, published 3 books, and received 1 international copyright for his innovations.
Learn how attackers hijack Model Context Protocol (MCP) servers in…
Discover how attackers manipulate autonomous AI agents through indirect tool-call…
Discover how threat actors target the Model Context Protocol (MCP)…
Discover how threat actors exploit Model Context Protocol (MCP) implementations…
Discover how attackers hijack autonomous AI agents via tool execution,…
Learn how to detect, investigate, and prevent Tool-Calling Hijacking in…
Learn how attackers hijack Model Context Protocol (MCP) servers in AI dev environments and discover forensic techniques to detect and mitigate context leakage.
Discover how attackers manipulate autonomous AI agents through indirect tool-call injection, and master the forensic techniques required to audit context state drift.
Discover how threat actors target the Model Context Protocol (MCP) in agentic AI deployments and learn forensic analysis and mitigation techniques to secure it.
Discover how threat actors exploit Model Context Protocol (MCP) implementations in agentic AI workflows, and learn actionable forensic strategies to detect and mitigate tool hijacking.
Discover how attackers hijack autonomous AI agents via tool execution, and learn essential forensic trace analysis and hardening tactics for 2026.