Authority boundaries
Whether a system can act beyond the authority, permissions, or delegation it was intended to receive.
Independent systems assurance
Evidence before confidence.
DDC Assurance Lab evaluates AI, agentic, and software systems through explicit scope, adversarial verification, evidence integrity, and reproducible technical assessment.
What we assess
Technical claims that need to survive challenge.
DDCAL is being built for systems where a simple demonstration or implementation claim is not enough.
Implementation conformance
Whether the implemented system conforms to identified requirements, controls, or declared behaviour.
Transition assurance
Whether proposed or executed state changes are authorized, valid, bounded, and recoverable.
Evidence integrity
Whether evidence actually substantiates the conclusion and preserves provenance, lineage, and context.
Failure behaviour
How the system behaves under malformed, hostile, ambiguous, incomplete, or contradictory conditions.
Verifier independence
Whether verification is sufficiently independent from the producer’s critical assumptions and failure paths.
Assessment lifecycle
From claim to controlled conclusion.
Every assessment is bounded by defined authority, requirements, evidence, and verification conditions.
DefineAuthority, scope, requirements, and exclusions.
ChallengeTest preconditions, boundaries, and adverse paths.
ObserveCollect traceable evidence of execution and state.
VerifyCheck conclusions against independent evidence and invariants.
ReportIssue a bounded result with evidence and limitations.
Public accountability
Controlled publications
Public methodology, quality documents, and controlled revisions will be registered with status and version information rather than silently replaced.
View publication registry →Assessment inquiries
Start with scope, not uploads.
Initial inquiries are intentionally low-risk. Do not send confidential evidence, credentials, executables, or sensitive datasets by ordinary email.
How to request an assessment →