AgenticDome Research

Research on the future of agentic AI security

Publications on the Agentic Interaction Control Plane, action integrity, agent frameworks, platform gaps, OWASP agentic risks, AI governance frameworks, and the emerging runtime mesh for autonomous enterprise agents.

Category Thesis AgenticDome View

The State of Play in Agentic AI Security

Why the market is moving beyond prompt filtering and toward an Agentic Interaction Control Plane.

  • Market shift from copilots to autonomous agents
  • Predicted growth in enterprise agent volumes
  • How AgenticDome frames the new category
Runtime Architecture AgenticDome View

The Five Protection Points

A practical reference architecture for securing manager-worker agent flows and tool execution.

  • Inbound prompt screening
  • A2A delegation authorization
  • Tool authorization, output sanitization, and decision verification
Platform Comparison AgenticDome View

Platform Security vs AgenticDome

Where Microsoft, Salesforce, and ServiceNow lead — and where cross-platform agentic gaps remain.

  • Microsoft Copilot Studio
  • Salesforce Agentforce
  • ServiceNow Now Assist and AI Agent Studio
Framework Security AgenticDome View

Agent Frameworks Need a Runtime Security Partner

How LangGraph, CrewAI, PydanticAI, OpenAI Agents SDK, Semantic Kernel, LlamaIndex, Haystack and others create new runtime security gaps.

  • Framework-by-framework security gaps
  • Why native hooks are not enough
  • How AgenticDome protects framework-driven agents
Market Map AgenticDome View

The 2026 Agentic Platform Market Map

A directional view of where enterprise and open-source agent platforms are concentrating adoption and budget.

  • Enterprise platforms vs open-source frameworks
  • Predicted agent volumes and agent sprawl
  • The common security challenge across all platforms
Security Gap Analysis AgenticDome View

Security Platforms vs AgenticDome

How Cloudflare, Zscaler, Palo Alto Networks, Cisco and other security platforms cover adjacent layers — and where AgenticDome fits.

  • Network, SASE, API, endpoint, and cloud security layers
  • Why application-layer agentic control is different
  • Where AgenticDome fills runtime action-integrity gaps
AI Governance AgenticDome View

Australian AI Governance and Agentic AI

What Australia’s AI governance direction means for businesses deploying autonomous agents.

  • Australia’s AI Ethics Principles and safety guardrails
  • What businesses need to evidence
  • How AgenticDome can support agentic governance
AI Risk Management AgenticDome View

NIST AI RMF and Agentic AI

How the NIST AI Risk Management Framework applies to agentic systems and runtime controls.

  • Govern, Map, Measure, Manage
  • Trustworthy AI characteristics
  • Runtime evidence for agentic AI risk
AI Regulation AgenticDome View

EU AI Act, Agentic AI, and Runtime Assurance

A succinct guide to the EU AI Act and what it means for businesses deploying agentic systems.

  • EU AI Act risk tiers
  • High-risk AI obligations
  • How AgenticDome can support runtime assurance

Agents are becoming enterprise actors. Their actions need a control plane.

Explore AgenticDome’s perspective on securing autonomous workflows, agent-to-agent communication, memory, tools, runtime decisions, and AI governance obligations across heterogeneous enterprise environments.