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Static safety benchmarks fail when attackers and defenders are evaluated in isolation; pitting them head-to-head with dual-routed payloads finally separates genuine defense filtering from raw exploit potency.
Across five major agent-memory frameworks, "soft-deleted" facts not only leak into context by default鈥攖hey actively outrank valid replacements and cause models to execute unsafe actions.
AMT-X reveals that existing safety evaluations can miss up to 33% of actionable harm by conflating partial success with full operational capability.
Existing security tools are blind to critical threat vectors in agentic systems, but MCPThreatHive offers an automated, open-source solution to illuminate and classify these risks.
Existing threat models fail to capture the unique vulnerabilities of Model Context Protocol systems, but MCP-38 fills this gap with a comprehensive taxonomy of 38 distinct threat categories.
