AI Security Research Portal
methodactiveMethods

Runtime Monitoring and Agent Gateways

Purpose

Analyze controls that inspect prompts, responses, tool calls, MCP traffic, memory writes, identity, and audit logs at runtime.

Evidence Base

Representative Sources

TitleKindDateTagsRaw
Duo Brings Identity and Authorization Across AI Agent Gatewaysofficial_blog2026-06-17agent-identity, ai-gateway, authorization, mcp, non-human-identity, security-for-airaw
AWS Security Agent adds threat modeling, Kiro power and Claude Code plugin, and moreofficial_blog2026-06-17ai-for-security, code-review, coding-agents, mcp, security-agent, strideraw
AI Agent Identity and Permission Challenges: How Uber and Auth0 Are Rethinking Access Controlnews2026-06-17agent-identity, delegated-authority, mcp, multi-agent, oauth, security-for-airaw
Securing the Agentic AI Frontier: Palo Alto Networks and Databricks Deliver a New Standard for AI Seofficial_blog2026-06-16agentic-ai, ai-gateway, data-security, governance, mcp, runtime-securityraw
When Your AI Agent's Memory Becomes a Security Liabilityincident_report2026-06-11agent-memory, checkpointer, deserialization, langgraph, rce, security-for-airaw
Prompt injection still drives most agentic AI security failures in productionnews2026-06-11agentic-ai, coding-agents, incidents, owasp, prompt-injection, security-for-airaw
Agents All the Way Down; A Methodology for Building Custom AI Agents from Substrate to Productionpaper2026-06-10agent-methodology, agentic-ai, ai-technology, audit-trail, custom-agents, security-boundariesraw
The Meta hack shows there's more to AI security than Mythosnews2026-06-05account-recovery, account-takeover, ai-agent, identity-verification, incident, security-for-airaw

Use In This Portal

Apply this method when ingesting sources, evaluating claims, or answering research questions that need evidence discipline rather than narrative summary.