Prove Your Security. Don’t Assume It.

Zero Trust runs on proof, not assumptions. Enforce every control continuously, and pass FedRAMP and CMMC on proof that verifies itself.

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Every Unproven Control Has a Cost.

Security comes down to one thing: are your technical controls actually working right now, and can you prove it. When that proof is manual or guessed instead of continuously enforced, the costs are real, and they compound.

Security engineers as evidence labor Your most expensive engineers spend their hours hand-collecting control evidence instead of doing security. That is FTE budget burned on screenshots and spreadsheets, every cycle, doing work a machine should do.
AI that hallucinates your posture Inference-based tools guess. They pass controls that are actually broken (false negatives) and flag failures that never happened (false positives). You cannot enforce Zero Trust on findings you cannot trust.
Evidence mapped to the wrong control When an artifact is not tied to the exact control it proves, gaps hide and assessments stall. You are left reconstructing which evidence maps to which requirement, and hoping the mapping holds.
Failures the SOC never hears about A technical control fails today, and the SOC finds out next quarter, if at all. No real-time alert, no mapping to the policy that broke, no record of when it happened.
Nothing enforces when posture drifts Without real-time signal into your SIEM and SOAR, a failed control sits open. No Zero Trust decision cuts access the moment proof changes, so risk lives in the gap between failure and audit.

Prove Every Control. Then Enforce It, Automatically.

The old way collects evidence by hand and hopes a model guessed right. The new way proves each technical control with signed evidence, maps it to the policy it satisfies, and acts on that proof in real time. The costs of manual, guessed security disappear.

Evidence collects itself Signed proof of every control is gathered automatically and continuously. Your security engineers stop being evidence labor and get their hours back for real security work.
Proof, never a guess Every result is deterministic and signed, not inferred by a model. No hallucinated passes, no phantom failures. Findings you can actually enforce a Zero Trust decision on.
Mapped to the exact control Each proof is tied to the precise control and policy it satisfies. Gaps surface instantly, assessments hold up, and the mapping is never something you reconstruct by hand.
Enforced in real time The moment a control fails, your SOC is alerted with the policy it maps to, your SIEM and SOAR get the signal, and the Zero Trust layer can cut access on proof. Action happens now, not at audit.

Proof-Based Zero Trust Assurance.

One platform with two jobs: prove the state of every user, device, and system continuously, then act on that proof. Deterministic where it has to be, intelligent where it helps, and no AI anywhere near collection.

01 Prove the state ProofLayer turns every user, device, and system into signed, replayable proof that its controls are working, continuously. Not a scan from last quarter, the real state right now.
02 Act on the proof ProofZT reads that proof and drives the response: alert the SOC with the policy that broke, signal your SIEM and SOAR, and enforce the Zero Trust access decision. Action on evidence, not inference.
03 Mapped to your frameworks Every proof rolls up to FedRAMP 20x, NIST 800-53, 800-171, and CMMC. The same evidence serves your security team, your assessor, and your Authorizing Official.
04 In your boundary Agentless and deployed inside your authorization boundary. Your engineers stop collecting evidence by hand, your data never leaves, and nothing in collection is ever guessed.

From Every Signal to Enforced Zero Trust.

Ingest from everything: cloud, Kubernetes, CI/CD, SAST, hosts, identity. ProofLayer signs each signal into proof. ProofZT acts on that proof, mapped to your controls. No AI ever touches collection.

EVERY SIGNAL ProofLayer signs every signal NO AI IN COLLECTION signed proof ProofZT acts on proof MAPPED TO CONTROLS · NO HALLUCINATIONS Reporter SOC · SIEM GRC · POA&M Enforcer cut access
01 INGEST From everything Cloud, Kubernetes, CI/CD, SAST, hosts, and identity all flow into one place. Agentless, inside your authorization boundary, nothing installed on the endpoint.
02 PROVE Prove it, not guess it ProofLayer evaluates each control deterministically and signs it at the source. Replayable and control-mapped, with no AI in collection, so the evidence is never hallucinated.
03 DECIDE Act on the proof ProofZT reads the signed proof, mapped to your controls, and makes the call. Grounded in evidence, so no false positives, no false negatives, no guessing.
04 ENFORCE Report and enforce The SOC is alerted with the exact policy that broke, your SIEM and SOAR get the signal, and Zero Trust access is cut in real time. Action now, not at audit.

No AI in collection. Deterministic from the engine up. Reproducible from the evidence, verifiable against a trusted root.

Two Ways to Use Your Proof.

One proof trail. Prove the state with ProofLayer. Act on it with ProofZT.

Available

ProofLayer

Prove the state.

The signed proof engine. Agentless scans across cloud, Kubernetes, endpoints, CI/CD, and identity produce signed, replayable, control-mapped evidence — delivered to your GRC tool, SIEM, and Authorizing Official as machine-readable truth.

  • Signed, replayable evidence with deterministic replay hashes
  • Control-mapped to FedRAMP 20x, NIST 800-53, CMMC
  • Transparency log, in-boundary, no AI in collection
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Early Access

ProofZT

Act on the proof.

The intelligence layer that turns proof into action. ProofZT reads ProofLayer’s signed evidence, decides on it, and acts — cutting access when the proof says so and reporting to your SOC, SIEM, and GRC tool. Grounded in proof, mapped to controls, so it can’t hallucinate.

  • Acts only on signed, deterministic proof
  • Cuts access, alerts the SOC, opens the POA&M
  • Customer-scoped, recommend-only by default
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Built for the Hardest Problems

FedRAMP 20x

From quarterly evidence pulls to cryptographic proof every 10 minutes.

Cloud providers facing the FedRAMP 20x deadline need continuous proof of every Key Security Indicator. ScanSet evaluates control state on a continuous cadence, signs each outcome, and writes it to a transparency log.

Your evidence stays current and your ConMon roll-up reflects reality. The 3PAO recomputes your claims from the evidence and verifies the signatures: no spreadsheets, no screenshots, no reconstruction.

FedRAMP 20x KSI ConMon OSCAL
CMMC 2.0

Pass your CMMC assessment in weeks, not quarters.

Over 220,000 defense contractors face the CMMC 2.0 certification cliff. Manual SSP authoring and screenshot stitching takes months per cycle, and the evidence goes stale before the C3PAO walks through the door.

ScanSet keeps every control mapped, every artifact signed, and every finding linked, and your C3PAO ingests the evidence stream directly. No more spreadsheet handoffs, no more last-minute corrections.

CMMC 2.0 DIB SSP POA&M
Continuous ATO

From 3-year ATO renewals to live authorization.

Program offices and AOs are tired of authorization theatre: assessments that take 9 months and expire 36 months later. The system being authorized has drifted weeks before the package is signed.

ScanSet is the cryptographic substrate cATO needs: real-time posture, signed control evaluations, append-only ledger. The AO authorizes a live state of the system, not a snapshot of who it was last quarter.

cATO DoD Real-time Authorization
Reference Architecture

Get the Zero Trust Assurance Reference Architecture.

The full architecture: how to turn your environment into signed, replayable proof mapped to FedRAMP 20x and CMMC, then act on it in real time.

  • Turn runtime signals into signed, replayable proof
  • Control mappings for FedRAMP 20x KSIs and CMMC 2.0
  • The PIP, PDP, and PEP architecture, end to end
  • How proof drives SOC alerting and Zero Trust enforcement
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Research & Technical Guidance

White Paper

Engineering Continuous Monitoring Across NIST SP 800-53 and Federal Authorization Baselines

Most continuous monitoring implementations produce findings, not evidence. This paper describes an architecture that generates cryptographically verifiable compliance evidence directly from managed endpoints, closing the gap between control execution and the evidentiary record.

Covers deterministic control-state validation, the policy execution layer, cryptographic evidence integrity, continuous delivery to GRC platforms and systems of record, and the shift from artifact review to state-driven authorization.

NIST 800-53 FedRAMP DoD IL5/IL6 CNSSI 1253 STIG OSCAL
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White Paper

Continuous Monitoring Infrastructure for FedRAMP 20x

FedRAMP 20x replaces document-based authorization with persistent, automated validation. This paper describes an evidence architecture built for the 20x model: deterministic policy execution at the endpoint, cryptographically verifiable at the point of collection, delivered as machine-readable authorization data continuously.

Covers the shift from Rev5 to 20x, what persistent validation actually requires, deterministic evidence for KSI validation, and how verified evidence flows to assessors and agencies through trust centers and OSCAL-native delivery.

FedRAMP 20x KSI Persistent Validation OSCAL C3PAO SAP/SAR
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