The evidence-backed boundary between an AI agent and the authority you give it.

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.

Before an agent can act, EASAP makes it show its work.

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.

ONE SENTENCEEASAP turns agent authority into repeatable scenarios, measurable outcomes, and a release gate that can be inspected later.
Open reference implementation
Deterministic where it matters
Portable evidence by design

One chain from behavior to accountability.

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.

01

System

The exact model, prompts, tools, memory, policy, connectors, and runtime are treated as one candidate.

02

Simulation

Seeded worlds and typed scenarios create realistic normal, degraded, and adversarial operating conditions.

03

Evidence

Traces, findings, uncertainty, signatures, and digests make results inspectable and replayable.

04

Authority

A release posture names what can ship, under which conditions, for how long, and what revokes it.

Useful signal, without inflated claims.

The product is designed to make evidence stronger and decisions clearer, not to turn a bounded test into a universal promise.

Existing practiceWhat it answersWhat EASAP adds
Model benchmarkMeasures model behavior in a test setEASAP evaluates the integrated system and its effects
ObservabilityShows what happened in productionEASAP finds and replays failures before production
ChecklistRecords whether someone said a control existsEASAP binds controls to evidence, owners, and gates
CertificationMakes a broad external conformance claimEASAP provides bounded evidence for accountable decisions

Different jobs. One evidence language.

Engineering builds the candidate. Security challenges it. Governance defines the boundary. Release leaders decide whether the evidence is sufficient.

Connect a live agent or plan
before it gets access.

Connect a public agentOpen the readiness planner