Security Brief · For the Chief Information Security Officer
Evidence infrastructure, powered by the Provenance Neural Engine (PNE), is one more system to secure, and the control plane that makes every AI decision attributable, tamper-evident, and revocable. Provenance is a security primitive, not a compliance afterthought.
Your AI problem isn't the model: it's ungoverned surface. Shadow AI puts PHI and proprietary structures into public LLMs; agentic attackers now run the full attack lifecycle at machine speed; and roughly a third of organizations deploy AI tools with no security vetting at all. Perimeter guardrails answer none of it. Evidence infrastructure answers with a governed foundation where the sanctioned path is the fast path and every AI-touched assertion is signed, attributed, and reconstructable.
The exposure
Any provenance layer is one more system to attack, and you're right to treat it as such. Framed as a data platform, it's just more surface, more privileged access, and more liability to own.
How evidence infrastructure answers
Evidence infrastructure is built as a control point, not a store: federated (data stays in place), semantic access control finer than your current stack can express, every decision provenance-auditable, designed to the invariants of mature security theory (Bell-LaPadula, Biba, Clark-Wilson). The audit trail is a structural property, not one inferred after the fact.
The exposure
Staff paste PHI and proprietary structures into public LLMs to move faster, every instance a potential HIPAA/GDPR breach. Outright bans fail because the demand is real; the traffic just goes dark.
How evidence infrastructure answers
Evidence infrastructure makes the sanctioned path the fast path: a governed foundation where AI works over your data in place, attributed and logged. The PNE runs in your cloud or on-prem (never vendor-hosted), regulated data stays inside your boundary, and anything that crosses to an outside endpoint does so only under your explicit routing policy, recorded as a signed provenance event. The easy option is also the governed one.
The exposure
Roughly one in three organizations has no process to assess an AI tool's security before deploying it, while agentic attackers now run the full attack lifecycle at machine speed. Un-vetted vendor AI is un-owned liability.
How evidence infrastructure answers
Evidence infrastructure gates vendor and in-house AI output through a provenanced, human-attested checkpoint before it becomes an assertion of record, so "we deployed it" is always backed by "we can reconstruct exactly what it did, and revoke it."
Deploy AI unvetted
Roughly a third of organizations have no process to assess an AI tool's security before deployment; 94% expect AI to be the most significant driver of change in cybersecurity this year.
WEF Global Cybersecurity Outlook 2026Drift is now a validation duty
GAMP 5 2nd Ed (App. D11) and the ISPE GAMP AI Guide make explainability and continuous drift detection formal requirements for AI systems.
ISPE, 2022 · 2025First FDA AI warning letter
Purolea Cosmetics Lab: AI-generated records let into operations with no human review: the enforcement proof that ungoverned AI is a citable violation.
FDA WL 320-26-58 fda.govProvenance Neural Engine™ is a trademark of Scientix.ai Inc. Evidence infrastructure adds attack surface. This is structural and stated plainly; the security case is that it is a net control gain. References: WEF Global Cybersecurity Outlook 2026 (with Accenture); ISPE GAMP 5 2nd Ed (App. D11) and ISPE GAMP AI Guide (Jul 2025); HIPAA / EU GDPR; FDA Warning Letter 320-26-58 (MARCS-CMS 722591, Purolea Cosmetics Lab, 2 Apr 2026).
The instinct to treat a new architecture as new surface is correct, but the alternative is worse: AI decisions no one can attribute, tamper-evidence no one can prove, and vendor models no one can revoke. Evidence infrastructure turns provenance into a security primitive: integrity, attribution, and non-repudiation by construction. It doesn't just log the transaction; it makes the evidence chain itself tamper-evident. Sequence the security review early. It's the conversation that turns the blocker into the control point.
Bring us your highest-risk AI deployment. We'll walk the threat model and the control stack, and show you every AI decision signed, attributed, and revocable: the governed path that's also the fast one.