AI agent security consulting
Serenus One works with security, platform, and product teams on the architecture around agent execution — ownership checks, segregation, and policy at the executor, not in prompts.
Start with a focused conversation about your architecture and highest-consequence agent path.
The problem we focus on
Agents fail when generated output becomes an action — when a model selects a tool, crosses a tenant boundary, or starts something hard to reverse.
We map those paths, design controls around the executor, and help you prove they hold under real inputs.
Work we take on
Three areas where conventional app security usually stops short of agent-specific risk.
Tool access, delegation, and execution boundaries — so models can act without becoming privilege boundaries themselves.
Cross-tenant routing and confused-deputy paths treated as architecture, not prompt hygiene.
Observability, rollback, and documentation before the agent ships — aligned across security, platform, and product.
What you leave with
Each engagement is shaped around the decisions your team needs to make and the controls it needs to implement.
Agent paths, identities, data flows, tools, and high-consequence actions — mapped in one view.
Patterns for authorization, validation, isolation, approvals, and safe execution.
Abuse cases and test criteria that prove controls hold under ambiguous inputs.
Prioritized remediation, ownership, and artifacts leaders can act on.
How an engagement runs
A clear path from exposure to evidence — working alongside the people building and governing the system.
Map workflows, trust boundaries, and where model output can select tools, owners, or irreversible actions.
Define validation layers, ownership checks, segregation patterns, and what must be logged.
Stress agent paths and verify policy holds under ambiguous or adversarial inputs.
Set review cadences and permission governance as models and integrations change.
A good fit when
First conversation
We will walk the highest-consequence path in your current design and say plainly whether a focused review would help.
Prefer to read first?
Our framework for secure agent deployment — architecture, runtime controls, and governance.