INWOM
INWOM RESEARCH / INSIGHTS

AI agent security field guides.

Practical, vendor-neutral guides to securing autonomous AI agents, multi-agent systems, and agent swarms — from threat models to detection engineering. Written by the team building Inwom, intelligent defense against AI-powered attacks.

FUNDAMENTALS

Fundamentals

AI AGENT SECURITY

AI agent security

A practical guide to AI agent security, including runtime evidence, identity, authorization, tool use, propagation, and multi-agent coordination.

MULTI-AGENT SECURITY

Multi-agent system security

Why multi-agent systems create security risks that single-agent controls miss, and which controls apply to orchestrated agents, agent swarms, and agent populations.

BUYER'S GUIDE

AI agent security tools

A vendor-neutral map of AI agent security tool categories — guardrails, AI-SPM, agent identity, MCP gateways, runtime monitoring, and multi-agent swarm detection — and how to choose.

THREATS

Threats

THREAT MODEL

AI agent swarm attacks

Learn what an AI agent swarm attack is, how coordinated agents differ from ordinary automation, and which observable signals matter to defenders.

THREAT MODEL

Rogue AI agents

What makes an AI agent rogue, why rogue behavior is hard to see from one agent's logs, and how population-level evidence helps detect and contain it.

FRAMEWORKS

OWASP Agentic Top 10

A practical walkthrough of the OWASP Top 10 for Agentic Applications (ASI01–ASI10), with a focus on the risks that only appear when many AI agents interact.

DETECTION

Detection

DETECTION ENGINEERING

Detect coordinated AI agents

A detection methodology for identifying propagation, collective structure, shared infrastructure, and coordinated behavioral change across AI agents.

COLLECTIVE BEHAVIOR

Shared artifact communication

Understand indirect communication between AI agents through files, repositories, caches, queues, memory stores, and environmental side effects.

PROTOCOLS

Agent-to-agent communication security

How to secure communication between AI agents over protocols like A2A and MCP — and why protocol security alone misses indirect channels through shared infrastructure.

INWOM

Inwom

PRODUCT

How Inwom works

How Inwom reconstructs a machine population from trusted evidence and detects collective behavior, propagation, hidden channels, and coordinated pressure across AI agents.

RESEARCH

Evidence before inference

Why AI agent security should treat agent transcripts as claims and infrastructure activity as evidence — and the five rules Inwom uses to keep inference honest.

KEY TERMS

New to agent security?

Start with the glossary: AI agent swarms, propagation, communication substrates, bridge actors, rogue agents, and more — defined in one or two sentences each.

Read the glossary
REQUEST DEMO

See Inwom live.

We’ll only use this to schedule your demo.