Everyone's guarding the model. Nobody's guarding what the agent does next.
Your agents have stopped drafting and started acting. PSA Warden governs what each agent may do and say — every proposed action checked against policy at runtime, logged in full, blocked or escalated before it has impact.
Early access · On the roadmapPart of the PSA family — Plumbline, Stride, Warden — each with PSA Loop built in.
The gate between an agent's intent and its action.
PSA Plumbline governs the message before it's sent. PSA Warden governs the agent before it acts.
Agents don't just draft anymore. They send the email, update the record, issue the refund, move the ticket, call the API. The moment an agent can act, the question stops being "is this text on-message?" and becomes "is this action allowed?" The model can be safe and the action can still be wrong: a policy it invented, a commitment you never authorized, a record it never should have touched.
PSA Warden sits between an agent's intent and the action — it checks the proposed action against your policy and guardrails, then allows, blocks, or escalates it, before the action lands. The whole decision is written to a tamper-evident log. The same engine that governs the message before send now governs the agent before it acts. You don't slow the agent down to inspect it after the fact — you govern it inline, while the action is still reversible.
Warden evaluates the action before it happens. A blocked action never reaches the customer, the system of record, or the ledger.
What an agent may do, on which systems, up to what threshold, on whose behalf — written as rules, versioned, and enforced consistently across every agent you run.
Plumbline governs what gets sent. Warden governs what gets done. Both report into the same audit trail, so governance doesn't fragment as your AI footprint grows.
Three things become true the day Warden is in the loop.
Agents operate within policy — enforced, not requested.
You define what each agent may do, say, spend, and touch. Warden enforces it at runtime, on every action. The guardrail isn't a prompt the agent can talk its way past — it's a gate the action has to clear, not a rule the model can talk its way past.
Every agent action is audited.
Proposed, allowed, blocked, escalated — each decision lands in a tamper-evident log, tied to the agent, the policy it was checked against, and the outcome. When the board, your auditor, or an incident review asks what the agent did and who let it, you have the record, not a reconstruction.
Unsafe actions are stopped before impact.
Warden checks before the action lands, not after. A refund outside policy, a claim the agent can't support, an action on a record it shouldn't touch — caught at the gate and routed to a human, before it reaches a customer, a system, or a regulator.
Propose. Check. Allow, block, or escalate. Log all of it.
One decision loop, run on every action an agent tries to take, enforced at runtime. The agent keeps its autonomy inside the boundary — Warden only intervenes when an action crosses a policy line.
Warden runs inline with your agents. Nothing an agent does reaches the real world until it has cleared the gate.
Send this message. Issue this refund. Update this record. Call this tool. The agent declares what it's about to do — the system it touches, the change it makes, on whose behalf — before it executes. Warden intercepts the intent, not the aftermath.
The proposed action is evaluated against your guardrails and rule packs in real time: what this agent is permitted to do, the limits it operates under, the claims it can stand behind, the records and systems it's allowed to touch.
Clear and within policy: allowed, and it proceeds. Outside policy: blocked before impact. Ambiguous or high-stakes: escalated to a named human with the context to decide in seconds, not an afternoon. No agent acts on an ambiguous call without a human deciding first.
Action, policy, verdict, and — where a human stepped in — who decided and why. A tamper-evident record, per tenant, of what your agents did and what your governance allowed. Ready for audit.
Every block and near-miss makes the next one less likely.
PSA Loop ships with Warden. Governance that only blocks is static. Governance that learns gets tighter where agents keep failing — so you rely on the hard block less over time.
When Warden blocks an action or escalates a near-miss, that signal doesn't just close a ticket. Warden treats it as evidence: where the policy was unclear, where an agent kept testing the same edge, where a human had to step in again and again.
That signal goes two directions. It tightens the rules — the guardrail that caught the action once gets sharper, so the pattern is governed automatically next time instead of re-litigated. And because PSA Loop ships with Warden, the same signal becomes a targeted, in-workflow training routed to the people who own that agent: here's what the agent tried, here's why it was wrong, here's the standard. The agents get governed harder where they keep failing. The humans get sharper where the gaps actually are. Both improve from the same evidence — your governance posture compounds instead of plateauing.
A pattern Warden keeps catching gets encoded into policy — governed automatically next time, not flagged again and again.
Recurring gaps surface as specific, in-workflow trainings for the teams that build and supervise the agents — drawn from what actually happened, not a generic module.
Two learning loops off one set of evidence: the guardrails get tighter and the people get more capable. Bundled with Warden, not sold separately.
PSA Loop ships across the family — see how the adaptive layer works in PSA Loop.
The agents are already being deployed. The governance isn't keeping up.
The gap between adoption and understanding is the whole risk.
76% of organizations are using or planning agentic AI within a year — but only 56% are familiar with the associated risks (EY, 2025). That twenty-point gap is the exposure, and it's widening as agents move from drafting to acting. Confidence is not a control: a model can be sure of itself and still be wrong, and a wrong action it's sure about is exactly the one that costs you most.
The stakes are operational first — though the regulatory floor is rising behind them: EU AI Act high-risk obligations phase in through 2026–2027. The question your board will ask isn't whether you're using agents. It's whether you can show what they did, prove it was within policy, and demonstrate you stopped the ones that weren't. "The agent did it" has never been a defense. Warden is how you make sure it never has to be.
Deploying or planning agentic AI within a year vs. familiar with the risks. The twenty-point gap is the exposure.
High-risk obligations phasing in. The bar for showing what your agents did, and that it was within policy, is rising.
For the people who have to answer for what the agent did.
Warden is built for the leaders accountable when an autonomous system acts in production — the CISO, the Chief AI Officer, the head of risk. If you're standing up an agent program and the first hard question is "how do we prove what it's allowed to do, and what it actually did," this is the layer that answers it.
You can't have autonomous systems acting on your infrastructure with no gate and no log. Warden gives you runtime enforcement and a tamper-evident record for every action — block before impact, prove it after.
You're being asked to scale agents and stay safe at the same time. Set the boundary once and enforce it across the fleet, with the audit trail to prove the agents stayed inside it — yes to deployment without a blank check.
The exposure isn't hypothetical — it's every action an ungoverned agent takes on a customer, a record, or a regulated process. Policy enforced at runtime, logged per tenant, with regulated rule packs (BFSI, Healthcare, Public Sector, Legal) available as add-ons where you need them.
On the roadmap. Open for early access now.
Honest about where this is. PSA Plumbline is live today; Warden is in early access — not generally available yet, and we won't pretend otherwise.
We're onboarding a measured set of design partners deploying autonomous agents into real workflows, who want governance in place before the scale, not after the incident. If that's you, it starts with a Gap Check: where your agents already act, where there's no policy gate today, and what "block before impact" would catch in your environment. No agents in production yet? Request early access and we'll bring you in as the roadmap opens up.
PSA Plumbline
Governance and the check before send, in production now.
PSA Warden
Agentic governance, building with design partners. Request a seat.
PSA Loop
The adaptive learning layer that ships with Plumbline, Stride, and Warden.
Govern the action before it has impact.
Start with a Gap Check, or request a seat in early access. Either way, you leave with a clearer view of your agentic risk than you walked in with.
- Book a Gap Check — a working session that maps where your agents already take action, where the policy gate is missing, and what Warden would block, allow, or escalate. Concrete, fast, no obligation.
- Request early access — join the cohort. We're onboarding design partners deploying autonomous agents — get the gate in place before the first unsafe action lands. Limited seats.
- Straight to a principal, not an intake queue. We'll tell you if you don't need us.
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