VERRON.AI

United States · Secure · AI security and red teaming

AI red teaming tied to remediation.

Threat modeling, gray-box and black-box AI security assessments for US organizations preparing consequential systems for release.

Define the authorized test
Isolated AI security test environment with controlled access boundaries
Secure / United StatesIsolated AI security test environment with controlled access boundaries. Editorial visualization; no client environment is shown.

When to engage

Use this engagement before release, external assurance or expansion of system authority.

A consequential system is approaching launch and internal reviewers need reproducible evidence, not a checklist.

United States delivery lens

The threat model follows authority, data and access.

Testing reflects the system’s real integrations, users and release conditions, then connects each reproducible finding to remediation and retest.

Decision owners

Who approves the work and the evidence each owner needs.

Security leader

Owns the assurance position and prioritization of remediation.

Evidence required

Needs reproducible findings, severity and retest criteria.

AI system owner

Owns model, application, data and tool behavior in production.

Evidence required

Needs attack paths tied to concrete engineering changes.

Risk or legal owner

Owns acceptance, escalation and documentation of residual risk.

Evidence required

Needs limitations, evidence provenance and explicit decision boundaries.

Decision questions

Questions this engagement must resolve.

  1. 01

    What can the system access, change or disclose?

  2. 02

    Which abuse paths are realistic in its operating context?

  3. 03

    Do safeguards hold under adversarial pressure?

  4. 04

    Which fixes materially reduce release risk?

Outputs

What the responsible teams can use after the engagement.

  1. 01Threat model and attack surface
  2. 02Reproducible findings with severity
  3. 03Prioritized remediation and retest plan

Buyer outcome

Decision-grade evidence about what can fail, how it was tested and what must change.

Define the authorized test

Scope of examination

The evidence examined before a recommendation is made.

  • Assets, actors and trust boundaries
  • Prompt, data and tool attack surfaces
  • Model and application access paths
  • Human approval and escalation controls
  • Logging, evidence and reproducibility
  • Remediation effort and residual risk

Delivery sequence

How the work moves from question to decision.

01

Model

Map assets, authority, trust boundaries and attackers.

02

Attack

Exercise agreed gray-box or black-box scenarios.

03

Attribute

Separate reproducible findings from speculative concerns.

04

Remediate

Prioritize fixes, evidence requirements and retesting.

Evidence standard

Review a published example of our method.

The published benchmark analysis demonstrates traceable sources, explicit limitations and the separation of observed evidence from interpretation. Client work remains confidential.

Read the benchmark analysis

Official reference points

Sources used to frame the review.

NIST AI Risk Management FrameworkA voluntary structure for governing, mapping, measuring and managing AI risk.NIST Generative AI ProfileCross-sector actions for risks specific to or intensified by generative AI.NIST AI Resource CenterOperational resources for testing, evaluation, verification and validation.

Reference material informs scoping and evidence design. It is not a claim of certification, compliance or legal advice. Editorial and technical review: 15 September 2026.

Before contact

Scope, inputs and boundaries.

What does AI security and red teaming produce?
Threat model and attack surface, Reproducible findings with severity, Prioritized remediation and retest plan. The exact depth depends on the decision, existing evidence and access available.
What should be available before scope is agreed?
The authorized system boundary and assets at risk, Existing threat models, incidents and security controls, Release decision, remediation owner and retest window. Missing evidence is recorded as part of the scope rather than treated as an assumed fact.
How is the boundary set?
The boundary follows the secure decision, the evidence required and the environments that can be examined. Access, exclusions and owners are written before delivery starts.

Related capabilities

Prepare the first conversation

Three useful inputs.

  • The authorized system boundary and assets at risk
  • Existing threat models, incidents and security controls
  • Release decision, remediation owner and retest window

An incomplete brief is acceptable when unknowns are identified

AI security and red teaming

Send the system boundary and release decision

We reply with fit, authorization requirements, test boundaries and the evidence needed for remediation.

Email the contextWe can work remotely across US time zones. This page describes delivery coverage, not a claim of a US office or local legal entity.