Agentic Security
← All servicesAgentic System Security Review: Multi-Agent Architecture Assessment
Agentic systems fail in ways a single-prompt app never does — through delegation chains, tool permissions, and inter-agent trust. We review the architecture and find where an attacker turns your own agent against you, then hand you the design changes that close it.
Stops a compromised or manipulated agent from escalating privileges and acting outside its mandate — before an automated system executes something your team can't reverse.
What we review
- Tool & function-permission boundaries — least privilege across everything the agent can call.
- Delegation chains & inter-agent trust — where one agent's output becomes another's trusted instruction.
- Memory & context manipulation — poisoning durable memory or context windows to steer later behavior.
- Privilege-escalation paths — chaining benign capabilities into a real breach.
- Non-human identity & secrets — how the agent authenticates and where its credentials live.
- Human-in-the-loop gates — whether the controls that should require a person actually do.
How it runs
Static analysis of your agent and tool configurations to map the trust boundaries, plus dynamic adversarial tool-misuse probes that try to walk those boundaries the way an attacker would.
What you get
Architecture-level findings tied to realistic threats, each paired with the specific design change that closes it — not a list of theoretical risks, but a remediation roadmap your team can build against.
We built one, so we know where they break
We designed and operate Division — a hierarchical multi-agent system with durable episodic memory and a full audit trail of autonomous work. We understand agent memory, context manipulation, and trust-hierarchy attacks from the inside, because we had to defend against them in our own infrastructure.
Thinking about an assessment?
Tell us what you're building and what you're worried about. A real person reads every inquiry.
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