When buying an AI agent, procurement teams face a problem: vendors know how their agents were built and tested. Buyers know almost nothing except vendor claims. This asymmetry makes deploying third-party AI extremely risky. Certification solves this by creating an independent, public, immutable record of what the agent actually does.
A vendor can claim their agent is "trustworthy" or "safe." But claims without verification are worthless. Certification means a third party independently measured the agent across five dimensions of behavioral trust. The results are public, blockchain-anchored, and independently verifiable. You do not need to trust the vendor - you trust the certification record.
The Borealis certification process prevents self-certification. An ARBITER submits audit evidence. A MAGISTRATE issues a verdict. The scoring engine computes the BTS. The result is anchored on-chain. An agent cannot assess itself. The audit trail is append-only - you cannot retroactively change test results. This is why third-party certification is trustworthy - the agent has no control over its own score.
A certified agent has a baseline - a moment in time when its behavior was independently measured and recorded. As the agent is deployed and updated, its behavior can drift. Comparing post-deployment behavior to the baseline certification reveals drift early. This is why certification before capability expansion is correct: add features to an uncertified agent and you compound unknown risks. Certified agents have a known baseline from which change is detectable.
What does certification prove?
Certification proves an independent third party measured the agent across five dimensions of behavioral trust and found it meets baseline standards. It does not guarantee perfection. But it proves the agent was tested thoroughly and results are public and immutable.
Can an uncertified agent be trusted?
Not in production. An uncertified agent is unknown - you have no independent verification of its behavior. You are relying entirely on vendor claims. In regulated industries (finance, healthcare, hiring), deploying uncertified agents is increasingly a legal liability.
How often should agents be recertified?
The BTS is a snapshot from the certification window. If the agent's behavior changes after certification (due to updates, environment drift, or deployment failures), the score becomes outdated. For production agents, recertification on a regular cadence (quarterly, biannually) is recommended.
What happens if an agent fails certification?
If an agent scores FLAGGED or UNRATED, it is not certified. The agent either needs to improve (fix constraint violations, increase transparency, reduce anomalies) and resubmit, or it cannot be deployed responsibly. This creates incentive for improvement.