System
The exact model, prompts, tools, memory, policy, connectors, and runtime are treated as one candidate.
EASAP is open, portable infrastructure for simulating consequential enterprise agents, evaluating their behavior under uncertainty and attack, and producing evidence that supports a bounded release decision.
An agent becomes a system-risk problem when it can call tools, access private data, change records, move money, alter access, or represent the company. EASAP gives the people responsible for that system a shared way to test, explain, and govern its authority.
EASAP keeps the system boundary, execution conditions, evidence, and decision connected so a result does not lose its meaning when it leaves the engineering team.
The exact model, prompts, tools, memory, policy, connectors, and runtime are treated as one candidate.
Seeded worlds and typed scenarios create realistic normal, degraded, and adversarial operating conditions.
Traces, findings, uncertainty, signatures, and digests make results inspectable and replayable.
A release posture names what can ship, under which conditions, for how long, and what revokes it.
The product is designed to make evidence stronger and decisions clearer, not to turn a bounded test into a universal promise.
Engineering builds the candidate. Security challenges it. Governance defines the boundary. Release leaders decide whether the evidence is sufficient.