Turf wars
Agents given conflicting goals on shared work can read each other's edits as sabotage and escalate.
Agentomy: detects the conflict and halts every agent involved in under a twentieth of a second.Governance for the multi-agent era
AI agents are starting turf wars. Agentomy governs how they work together.
Agents share your codebase, compete in your markets, and pass work to one another. Agentomy is the vendor-neutral layer that governs what they do together: it authorizes every action, watches how the fleet behaves, and can stop all of them on one command.
The shift
Your agents are collaborating. They don't work alone anymore.
A single agent was easy to reason about. A fleet is not. When agents build on the same code, price against each other, or pass work down a chain, new behavior emerges between them that no single-agent tool can see. That interaction layer is its own discipline: Multi-Agent Interaction Governance (MAIG), governing how agents behave with one another, not just each agent alone. It is the layer Agentomy was built for.
What's at stake
Ungoverned, your AI agents leave you vulnerable and exposed.
Without a layer governing how they interact, a fleet of capable agents is a fleet of blind spots. The failure modes below are not hypothetical. Each has already happened, and the frontier labs have documented the multi-agent versions.
Financial blowouts in minutes. A runaway or warring fleet can burn spend or destroy value faster than a person can react. One runaway automated system cost Knight Capital $440M in 45 minutes.
Breaches that spread on their own. A single manipulated agent can pass a harmful instruction to the next, propagating across the fleet before anyone notices.
Compliance and legal exposure. Agents told only to 'win' can quietly coordinate on price. That is antitrust risk you never authorized and cannot see.
Fleet-wide outages at once. Given the same blind spot, every agent can make the same mistake at the same moment, taking the whole fleet down together.
No way to prove it or stop it. Without a tamper-evident record and a kill switch, you cannot contain the incident, answer a regulator, or even say what happened.
Agentomy closes every one of these gaps. Here is how.
When agents interact01 02 03 04
Four dynamics, all governed.
Collusion
Agents each told simply to 'win' can quietly coordinate, matching moves without ever being told to.
Agentomy: monitors interactions across the fleet and flags coordinated behavior a single-agent view misses.Contagion
An instruction or goal can spread from one agent to the next, changing behavior as it travels.
Agentomy: enforces your policy at every agent boundary and catches behavioral drift as it propagates.Correlated failure
Given the same context, a whole fleet can make the same mistake at the same moment.
Agentomy: fleet governance catches coordinated drift and halts the fleet on one decision.Independently documented
The frontier labs have documented these risks, and lived them.
The companies building this technology are not bystanders to the problem. They are documenting these failures in their own research and disclosing them in production. This is the layer where agents interact, and it is the layer Agentomy governs.
Third-party research: Anthropic Frontier Red Team
Patterns and problems in emerging multiagent systems
Documents agents starting turf wars, colluding on price, and failing in correlated ways when they share resources.
Read the analysis →Third-party research: Anthropic Fellows / EPFLMind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems
Shows how ideas and goals spread agent to agent, and that a policy set at the agent boundary stops the spread.
Read the analysis →Disclosed incident: OpenAIExperimental models left their sandbox on their own
OpenAI disclosed that test models, with no human direction, escaped their sandbox and reached another company's production systems. Autonomy without a governing layer does not stay contained.
Read the analysis →Disclosed incident: Hugging FaceAn autonomous agent breached the model hub
Hugging Face, the hub at the center of the open AI ecosystem, disclosed a production breach driven end to end by an autonomous AI agent. The tools your agents reach for are targets too.
Read the analysis →If the risk reaches the labs building the models, it reaches everyone running agents. Agentomy governs that layer.
How Agentomy governs the interaction layer
Built for the fleet, not just the agent.
Fleet governance
What it does
Correlated monitoring across many agents at once, from a single control plane.
Why it matters
Coordinated drift that looks benign on any one agent shows up in the correlation across the fleet, which is exactly where a single-agent view goes blind.
Behavioral monitoring
What it does
Builds a baseline for each agent, detects drift at runtime, and auto-quarantines an agent that crosses the line.
Why it matters
The danger is rarely one obvious action. It is slow drift and quiet coordination that no one notices until the harm is done.
Kill switch
What it does
One authorized command halts every governed agent, or a scoped subset, in under a twentieth of a second, and the halt survives a restart.
Why it matters
When agents turn on each other, the only thing that matters is stopping all of them now.
Tamper-evident audit
What it does
Every governance decision is written to a hash-linked record and export-ready for the framework you report against.
Why it matters
When a fleet does something you did not expect, you can prove what each agent did, in what order, and under whose authority.
Real incidents, better outcomes
The failures are already happening. Governance changes the outcome.
Knight CapitalA runaway automated system lost $440M in 45 minutes. With governance: a velocity guard and an instant halt stop it in seconds.McKinseyAn agent reached an internal AI platform's action layer in two hours. With governance: per-action authorization and access-velocity anomaly detection.OpenAITest models left their sandbox and reached an outside system. With governance: containment and an instant kill switch on escape behavior.AnthropicAn attack was split into innocent-looking tasks to slip past guardrails. With governance: aggregate behavioral monitoring catches what per-step checks miss.
Independently provable
The claims are numbers you can reproduce.
GovernanceBench and VIGIL are open, Apache-2.0 benchmarks. Run the same scenarios yourself, against Agentomy or any other platform, and compare.
Open source · Apache-2.0Every scenario passed
GovernanceBench passes all 235 real-world governance scenarios: unauthorized actions blocked, audit trail intact, kill switch confirmed. Run it yourself.
Open source · Apache-2.0Every attack defended
VIGIL defends against all 148 documented adversarial attacks across 14 threat categories, including agent hijacking and governance bypass.