Intercepting the Agent’s Mind: Forensic Analysis and Mitigation of Model Context Protocol (MCP) Hijacking
Discover how threat actors target the Model Context Protocol (MCP)…
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…
Discover how attackers hijack AI agent tool-calling protocols through indirect…
Discover how attackers manipulate WebNN models in browser storage and…
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.
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…
Discover how attackers hijack AI agent tool-calling protocols through indirect…
Discover how attackers manipulate WebNN models in browser storage and…
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.
Learn how to detect, investigate, and prevent Tool-Calling Hijacking in enterprise agentic AI frameworks using forensic trace analysis and deterministic tool gateways.
Discover how attackers hijack AI agent tool-calling protocols through indirect prompt injection, and explore practical forensic and defense strategies.