AI Security & Governance

Deploy AI Securely, inside the Rules

As an Anthropic Partner and a member of Anthropic’s Cyber Verification Program, we implement AI in your environment with security, privacy, and human oversight engineered in, not bolted on after a review committee asks who approved it.

SECURE AI ARCHITECTURE, SKETCHREFERENCE PATTERN
Secure AI architecture sketchData sources, records, documents and a ticket queue, cross a dashed trust boundary into a retrieval and minimization step, then a private model endpoint, then a human approval gate before output reaches the business workflow. A logging and oversight lane runs beneath the whole path, fed by dotted connections from each stage.DATA SOURCESRecordsDocumentsTicket queueTRUST BOUNDARYRetrieval and minimizationSCOPE LIMITED · FIELDS MASKEDModel endpointPRIVATE TENANCY · NO TRAININGHuman approval gateAPPROVER NAMED · REASON RECORDEDOutput into the workflowLOGGING AND OVERSIGHT LANEPROMPTS · OUTPUTS · ACCESS · EVALUATIONS
Reference pattern. Every stage is a control an assessor can ask to see.

The problem

Governance Platforms Oversee AI They Can’t Build. Generic Integrators Don’t Speak HIPAA or Understand the EU AI Act

That gap is where most regulated AI projects die. The platform vendor produces a policy and a dashboard, but somebody still has to design the data flow, the access model, the logging, and the human checkpoint. The systems integrator can build it, but doesn’t know why PHI in a prompt is a different problem from PHI in a database, or what your auditor will ask for in eleven months.

You need one team that can do the engineering and answer for the compliance. That’s a narrow group, and it’s what we do.

How we help

From Use Case to Production, with the Controls Built In

Use-Case Design

What the system will and won’t do, what data it may reach, and what a human must approve.

Secure Architecture and Data Handling

Boundaries, minimization, retention, tenancy, and the prompt-and-output path documented as a data flow your privacy team can review.

Access, Logging, and Oversight Controls

Who can invoke it, what gets recorded, how a decision is explained, and where a person intervenes.

Compliance Integration

The controls mapped into your existing SOC 2, HITRUST CSF, or HIPAA program rather than a parallel one.

Rollout from Pilot to Scale

A pilot with real users and real evaluation, then the expansion plan, then the handover to your team.

Enablement

Your people trained to run it, because a system only we can operate is a liability.

Scope

Secure AI architecture · data flow and boundary design · identity and access design · prompt and output logging · evaluation and human-in-the-loop design · model and vendor selection · infrastructure security consulting for the environment it runs in · ISO/IEC 42001 and NIST AI RMF control mapping

What you get

A Working System Your Auditors and Customers Can Trust

  • A deployed, documented AI system with named owners
  • The data flow, control set, and evidence an assessor will ask for
  • Evaluation results and an oversight process, not just a demo
  • Your team able to run and extend it
  • A clear line between what the model decides and what a person decides
Proof

Fourteen years implementing controls in environments where a mistake is a reportable event, and a security practice with a 100% breach-free record across active vCISO and preventative consulting engagements.

Continuous assurance

The Work Stays Proven after We Hand It Over

After go-live, the CyRisk platform monitors the controls around the deployment, access, logging, drift in the evidence you’ll need at audit, and reports on them continuously.

CyRisk is 4A’s sister platform. Where our work for CyRisk appears on this site, we disclose the affiliation.