PROOF OF AUTHORITY FOR AUTONOMOUS AGENTS

The authority record for autonomous AI agents.

We reconstruct every agent trajectory against the authority it was actually granted — and make that provable to a regulator, a board, or a customer.

Talk to us → See how it works

01 · The problem

Adoption is exponential. Governance isn't.

40%

of enterprise applications will embed task-specific agents by end of 2026 — up from under 5% in 2025

144:1

ratio of non-human to human identities in the enterprise, growing 44% a year

2 in 3

organizations cannot tell, after the fact, whether an action was taken by a human or an agent

40%+

of agentic AI projects are at risk of cancellation by 2027 over governance and ROI gaps

Sources: Gartner 2026 enterprise agent forecasts · Identity Defined Security Alliance, 2026 · 2026 survey of 900+ security leaders

02 · Why now

Regulators just confirmed the gap — in writing.

FEB 2026

GARP names the structural mismatch

Pre-deployment validation cannot govern a system that changes after deployment — a framework problem, not an execution gap.

FEB 2026

Cyber Risk Institute publishes FS AI RMF

230 control objectives, built with 100+ financial institutions — an industry-built answer, but a document, not a product.

APR 2026

SR 26-2 replaces SR 11-7 (Fed / OCC / FDIC)

Generative and agentic AI explicitly excluded from scope, "with additional guidance planned." The primary US model-risk rule left agentic AI out — a supervised gap, dated and in writing.

AUG 2026

EU AI Act reaches full enforcement

72-hour incident reporting windows begin — institutions need evidence infrastructure now.

03 · The insight

Three questions per trajectory. Nobody answers all three.

What happened?

Observability tools

Braintrust, Arize, Langfuse, Galileo — deep on the trace, silent on whether it should have happened at all.

Is it allowed, on paper?

Compliance tools

Credo AI, Holistic AI, Trustible — deep on policy language, but they don't sit in the execution path.

Was it authorized — and can we prove it?

Warrant

Reconstructs each trajectory against the authority the agent was actually granted. Continuous, cross-vendor, evidence-grade.

04 · The product

The authority record for autonomous agents.

01 · INGEST

Ingest

Pull trajectories from any agent framework, orchestrator, or MCP toolchain — vendor-agnostic by design.

02 · RECONSTRUCT

Reconstruct

Cross-reference each trajectory against the authority actually granted: who delegated it, what it was scoped to, what changed.

03 · ATTEST

Attest

Produce tamper-evident, defensible evidence — and escalate in real time the moment a trajectory steps outside its granted authority.

LAND & EXPAND

Land as the neutral evidence layer. Expand with configurable risk "lenses" — model risk, fraud, compliance, security — on top of one authority record.

05 · Positioning

The open quadrant.

Trajectory-security and identity tools prove the underlying data is capturable — but each stays framed to one budget: security, or access control.

Compliance tools own the regulatory language, but never sit in the runtime.

Warrant is the only one built to hold both, across every risk lens — thirty-plus vendors mapped across six clusters, and none of them answer whether a trajectory was within the authority actually granted.

06 · Team

A technical team that moved into governance.

Kamya

Co-founder

AI Risk & Governance · Engineering

Trisha

Co-founder

AI Strategy & Governance · Data Science

Name

Co-founder

Your short label here

Get in touch

Every enterprise deploying agents will be asked this eventually.

Was this action authorized — and can you prove it? We're looking for early design partners in regulated financial services, and a founding engineer to help us build. If either sounds like you, we'd like to talk.

hello@warrant.ai