Cyber-SG applies the full VectorCertain governance stack to AI-driven threat detection and response: it governs whether an AI security decision to block, allow, quarantine, or escalate may be acted upon — at machine speed, inside the enforcement path rather than alongside it. At 50 claims it is the broadest filing in the portfolio, sharing the December 2025 priority anchor and incorporating the 77-claim HCF2-SG hub by reference [VC-C].
The distinction from the detection-first vendor cohort is architectural rather than incremental. Commercial AI security products are probabilistic and post-hoc: they score, alert, and explain after the fact. Cyber-SG governs execution privilege before the action occurs — and a design-around requires abandoning independence verification altogether, which is the same as abandoning the safety claim being sold [VC-C].
Request the technical briefing§ 1 · THE ARCHITECTUREDetection-First vs. Governance-First
A detection-first product answers "how suspicious was that?"; a governance-first system answers "may this happen?" — and answers it before the action executes. The difference decides what failure looks like: a missed detection is a report that arrives late, while an ungoverned enforcement action is a firewall rule, a quarantine, or an automated dismissal that already happened. As enterprises hand enforcement authority to agentic AI, the second failure class is the one without an existing control — and it is the one the 50-claim scope addresses [VC-C].
| Property | Detection-first (vendor cohort) | Cyber-SG governance-first |
|---|---|---|
| Core question | How suspicious was that? | May this action execute? |
| Timing | Post-hoc: score, alert, explain | Pre-action: permission at the gate |
| Position | Alongside the enforcement path | Inside the enforcement path |
| Latency posture | Alerting-class | Millisecond, inline blocking |
| Accountability of automated dismissal | Probabilistic score | Trust level + independence record + permission log |
| Design-around cost | Feature-level | Requires abandoning independence verification [VC-C] |
§ 2 · DEPLOYABILITYWhy Inline Governance Is Commercially Different
Two properties make Cyber-SG deployable rather than merely correct. Governance operates at millisecond latency through the MRM-CFS execution layer — 3.6 ms blocking — so it functions in inline blocking mode rather than alerting-only mode [VC-C]. And by reducing the false-positive burden that makes SOC automation commercially unviable at scale, it addresses the actual reason security teams do not trust automated dismissal: no analyst will accept an unaccountable AI decision to close an alert that later proves to be an intrusion. A governed dismissal carries its trust level, its evidence-independence verification, and its permission record [VC-C].
§ 3 · EVALUATIONThird-Party Evaluation, Named Frameworks
VectorCertain participates in MITRE ATT&CK Evaluations — to our knowledge the first agentic AI participant in the program's history [5][VC-C]. Third-party evaluation by a government-adjacent body is the form of validation this category most conspicuously lacks. Technique-level claims map to both MITRE ATT&CK (T####) and MITRE ATLAS (AML.T####) identifiers [4][5], and the governance posture aligns with the MEASURE and MANAGE functions of the NIST AI RMF [2][3] — architectural alignment, not claimed certification. The shared failure modes this governance defends against are quantified in the Convergence Trap research.
Evaluation results publish on the evaluator's schedule, and this page will link them when they do — until then, participation itself is the verifiable claim, and the hedge in "to our knowledge" is deliberate [VC-C].
§ 4 · QUESTIONSFrequently Asked Questions
What is governance-first AI security?
Governance-first security decides whether an AI-initiated enforcement action — block, allow, quarantine, escalate — may execute, before it executes. It sits inside the enforcement path and gates permission at millisecond latency, in contrast to detection-first products that score and alert after the fact. Cyber-SG claims this mechanism across 50 claims, the broadest filing in the VectorCertain portfolio.
How does this reduce SOC false-positive burden?
A governed automated dismissal is accountable: it carries its trust level, the independence verification of its evidence, and a permission record. That accountability is what lets security teams actually delegate alert closure to automation — the barrier to SOC automation at scale has never been model capability alone, but the unacceptability of unaccountable dismissal of what later proves to be an intrusion.
What is VectorCertain’s MITRE involvement?
VectorCertain participates in MITRE ATT&CK Evaluations — to our knowledge the first agentic AI participant in the program’s history. Claims map at the technique level to both ATT&CK (T####) and ATLAS (AML.T####) identifiers for direct comparability. Participation is third-party evaluation, not certification, and results publish on MITRE’s schedule, not ours.
CONTACTTalk to VectorCertain
Every figure on this page traces to sealed, hash-verified validation artifacts — including findings that contradicted our own published estimates, which we recorded rather than reconciled away. Technical briefings are available for enterprises, evaluators, and standards bodies.
Request the technical briefingREFERENCES
- NIST. (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1. nvlpubs.nist.gov
- NIST. AI Risk Management Framework (program page). nist.gov/itl/ai-risk-management-framework
- MITRE. ATLAS — Adversarial Threat Landscape for Artificial-Intelligence Systems. atlas.mitre.org
- MITRE. ATT&CK. attack.mitre.org
[VC-C] Patent portfolio and platform engineering baseline — 77-claim hub filing, stack integration claims, 36,181-test regression suite; portfolio documentation, January 2026. Public URLs will replace artifact names when the corresponding research pages publish.