HIVE detects, investigates and contains dangerous behavior emerging from autonomous AI populations.
Evaluated one at a time, every actor is compliant. Each check is correct — and each check is blind to the others.
Connect the same three actors through shared state and delegation and a capability appears that nobody granted: read confidential data, move it, send it out.
Traditional security often evaluates actors and actions one at a time. HIVE studies what emerges when autonomous actors interact.
Behavior produced by interactions between individually valid components that was never explicitly designed.
HIVE does not replace agents, tools or identity systems. It observes the ecosystem around them and models what the population is doing as a whole.
Observation plane · not an execution dependencyFind the behavior you didn't know to test for.
Before autonomous systems reach production, HIVE can stress-test them as populations rather than isolated agents — introducing controlled perturbations and observing what the ecosystem reorganizes into.
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HIVE doesn't only ask whether an agent is compromised. It asks whether the system itself is entering a state it was never designed to reach.
HIVE continuously compares observed population behavior against the system's expected behavioral baseline across seven signal families. Deviation is the signal — not a malware match.
The Emergence Score measures how far observed population behavior has deviated from the system's expected behavioral baseline. It is not a probability of attack, and the values shown here are illustrative of the concept rather than a validated production measurement.
Agents, tools, data, memory, MCP servers, identities and external systems — one graph, continuously rebuilt from observed events.
When something emerges, don't shut down everything.
HIVE searches the behavior graph for the smallest intervention that breaks the dangerous coordination while preserving legitimate work. Select a candidate to preview its blast radius.
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Impact figures are computed inside this simulated environment from the graph shown above. They illustrate how a containment planner reasons about blast radius — they are not measured results from a production deployment.
HIVE records the structure of the observed behavior — not a single indicator. The result is a candidate behavioral pattern that can be recognised again, in a different environment, with different agents.
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A pattern is a hypothesis about structure, not a proven universal rule. HIVE proposes it as a reusable control for this system and for re-simulation in Swarm Lab; promoting it stays a human decision.
Securing a population is continuous: what Swarm Lab discovers becomes what Immune Mesh watches for, and what production reveals becomes the next simulation.
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{{ lcMeta }}Discover dangerous behaviors before production — by running the population, not the agent.
synthetic population · controlled perturbationDetect and contain dangerous system states as they emerge — with the smallest possible intervention.
live topology · minimal containmentTurn discoveries into future resilience — as reusable structure, not a single indicator.
pattern corpus · candidate immunityHIVE complements defenses that secure prompts, identities, tools and data by observing something at a different level: the behavior of the entire autonomous ecosystem. Every layer below stays necessary.
A support agent receives a malicious instruction inside retrieved content. The story is not the text — it is what the population does next. No jailbreak, no stolen credential, no compromised model: every actor stays inside its own policy.
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This stream is generated in your browser to show the shape of the signal HIVE reads. It is not connected to a live system.
As autonomous systems become more distributed, the number of possible interactions grows faster than a human operator can reason about manually.
Pairwise combinations only — not observed interactions. Edges sampled for display.
Every one of those multiplies the states a system can reach — and a state nobody designed is a state nobody reviewed.
These are other people's work, listed because they define the problem space HIVE is built around. None of them is affiliated with HIVE, and none of them validates it.