Operational Truth Platform

AI and Workflows Fail Without Operational Truth

Any important regulated or auditable work—whether AI-native, AI-enhanced, or using probabilistic systems—needs trustable operational truth as a deterministic layer. Compliance built on promises, attestations, and point-in-time audits creates "compliant insecurity."

From Promises to Proof

Traditional Compliance

Measures promises: "We have a policy." "We conducted training." "We passed last year's audit."

  • Point-in-time snapshots
  • Self-reported attestations
  • Evidence disconnected from systems

Operational Truth

Measures proof: "Here is the evidence that this control is active right now."

  • Continuous verification
  • Observable system state
  • Machine-verifiable evidence

Connect to our Computing Paradigms: Probabilistic systems (GenAI) produce non-deterministic outputs, but evidence and accountability must be deterministic. Learn how Operational Truth bridges these paradigms →

Why This Matters for AI and Probabilistic Systems

AI can write code, but who proves it was deployed correctly?

AI Code Needs Proof

GenAI produces non-deterministic outputs; evidence must be deterministic

Traceable Accountability

Regulated environments require traceable accountability for every decision

Beyond Attestation

'Compliant insecurity' happens when attestations pass but systems fail

Audit-Ready AI

Every AI-generated artifact needs an evidence trail for auditors

The Five Principles of Operational Truth

Transform how your organization approaches compliance and evidence

Queryable Evidence

Every compliance assertion backed by machine-readable, cross-referenceable evidence

Before: PDFs, spreadsheets, screenshots
After: Structured data queryable via SQL

Continuous Verification

Controls verified continuously, not periodically

Before: Annual audits discover drift
After: Drift detected in hours, not months

Observable State

Compliance derived from observing actual system state

Before: Self-reported attestations
After: System state from actual infrastructure

Compliance as Code

Policies become code that documents intent AND verifies implementation

Before: Policy documents separate from systems
After: Same spec defines requirement and tests it

Evidence Supply Chain

Every claim traces to source with cryptographic verification

Before: Evidence can be fabricated
After: Supply chain is auditable and tamper-evident

The Operational Truth Product Constellation

A unified suite of products that work together to deliver continuous, queryable, machine-verifiable compliance evidence

How Operational Truth Works

From evidence collection to audit readiness in a continuous, automated flow

1

Evidence Collection

surveilr agents collect evidence from systems continuously at the edge

2

Evidence Warehouse

SQL-queryable store of all compliance data in SQLite databases

3

Continuous Verification

Automated checks run against live systems, detecting drift immediately

4

Audit Readiness

One-command evidence export for any framework—SOC2, HIPAA, CMMC, or custom

Who Benefits

Operational Truth transforms compliance for every stakeholder

CTOs & Architects

Know your system state at any moment. SQL queries replace tribal knowledge.

CISOs

Prove control effectiveness continuously. Controls map to queries, not documents.

Compliance Leaders

Export evidence in one command. Multi-framework mapping for SOC2, HIPAA, FedRAMP.

Quality Assurance

Every test case has evidence, every evidence maps to a test case.

Auditors

Proof, not promises. Machine-verifiable evidence that's impossible to fabricate.

Implement Operational Truth in Your Organization

Stop measuring promises. Start proving truth. Transform your compliance from periodic attestation to continuous, machine-verifiable evidence.