HVT

Stay ahead of new threats

Every denial is evidence; patterns feed policy revision under human review./Each blocked attack teaches you what to tighten next.

Architecture term (Salem Salah bin Omair AlShamsi)/Plain English

The evidence ledger turns each denied act into a data point. Operators review patterns and revise the authority graph deliberately./Every blocked attempt is recorded. People study the patterns and improve the rules on purpose.

DenialsLogged
PolicyVersioned
ExportJSON
The problem

What goes wrong without it

01

New injection techniques appear faster than static rules change./Attackers invent new tricks quickly.

02

Blocked attempts are discarded instead of analysed./Failed attacks get thrown away.

03

Policy changes are ad hoc and unversioned./Rule changes are made on a whim.

How HVT handles it

Four steps, in order

1

Collect

Denials are logged with rule, evidence level and agent./Every block is saved with the reason.

2

Cluster

Observability groups threats by category./Similar attacks are grouped.

3

Revise

Policy is versioned and reviewed by security and legal owners (Gate 3)./Rule updates are reviewed by the right people.

4

Re-test

Changes are re-run in shadow mode before enforcement./New rules are tried safely first.

What you get

Key capabilities

Threat dashboard

Category, rate and trend views./See what is being tried.

Versioned policy

Every revision is attributable./You can see who changed what.

Exportable evidence

Records export for regulators and auditors./Hand the log to anyone who asks.

Compliance mapping

Evidence aligned to NIST AI RMF, EU AI Act, ISO/IEC 42001 and OWASP LLM Top 10 (a mapping, not a certification)./Helps with audits. It is not a certificate.

Example

Before and after

Without HVT

A new injection phrasing slips past a static filter./A new trick sneaks past an old filter.

With HVT

The attempt is denied by the evidence rule, clustered with similar cases, and a policy update ships after review./It is blocked, grouped with others, and the rules are updated after a check.

Illustrative scenarios. Controls shown are design intent, confirmed by the gates on your own infrastructure.