AI Governance · Fractional CISO · Healthcare & Health-Adjacent

AI governance for healthcare and health-adjacent companies.

Boards are asking about AI strategy. Customers and auditors are starting to ask about AI controls. Most security teams don't have a defensible answer yet. I help them build one — policy, controls, agent operations review, and a roadmap your auditor can sign off on.

Fractional CISO  ·  25 years across infrastructure, security, and platform engineering  ·  Operating production agents every day.

See the healthcare case study
25+ years
Security & infrastructure leadership
SOC 2 + HIPAA
Type II audits delivered to unqualified opinion
Production agents
Operating multi-LLM stacks daily across Claude, OpenAI, and self-hosted models
Peter Hallen — Fractional CISO, AI Governance for Healthcare
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I know where agents leak, how authority escalates through tool chains, and what an indirect prompt injection actually looks like when it hits production.

How It Works

From discovery to deployment in weeks, not months

Discovery Call

30 minutes

Map workflows, tools, pain points

Setup Sprint

3-5 days

Deploy secure AI operations center

Tuning Period

2 weeks

Calibrate agents, refine workflows

Autopilot

Ongoing

AI handles day-to-day, you handle strategy

How I work

Three engagement types. No price list — pricing happens on the discovery call after I understand your scope.

One-time engagement

AI Governance Sprint

4–6 weeks

Deliverables

AI usage policy, agent and tool inventory, control mapping to your existing framework (SOC 2 / HIPAA / HITRUST as relevant), and a 12-month roadmap for ongoing governance.

Best for

Companies whose board, customers, or auditor has started asking about AI and need a defensible position fast.

Most common

Ongoing retainer

Fractional CISO with AI scope

Monthly engagement

Deliverables

Everything a fractional CISO does — risk management, policy, compliance program, audit support — plus AI-specific controls, agent operations oversight, and ongoing review of LLM-integrated workflows for prompt injection, authority escalation, and PHI/PII leakage.

Best for

Companies that need a security executive in the seat but aren't ready for a full-time CISO, and whose AI surface area is growing.

Project-based

SOC 2 / HIPAA / HITRUST audit prep

Scoped to audit timeline

Deliverables

Full readiness through audit, with AI usage and agent operations integrated into the control set rather than bolted on after.

Best for

Companies on a defined audit clock who don't want to be surprised by an AI-controls question they haven't answered.

I operate this stuff in production every day.

Most AI governance advice is written by people who have never deployed an agent. The policy reads fine. The auditor signs off. Then the agent does something the policy didn't anticipate, because the person who wrote the policy didn't know how the agent actually behaves under load.

I run multi-LLM agent stacks every day — Claude, OpenAI, and self-hosted models on Ollama and LiteLLM, orchestrated through n8n with persistent state. I've operated agents on the OpenClaw framework, evaluated migration paths after framework-level disruption, and architected installations of Nous Research's Hermes Agent. I debug live agent traces, tool-call chains, and inter-service auth failures as part of normal weekly work.

That hands-on operations background is what makes the governance advice land. I know where agents leak, how authority escalates through tool chains, and what an indirect prompt injection actually looks like when it hits production. The controls I write are the controls I'd want if it were my data.

Book Your Free Strategy Session

Let's discuss your security goals and compliance requirements in a no-obligation strategy call

Free Strategy Call

Quick, focused conversation about your specific needs

Expert Guidance

Get actionable advice on SOC 2, HIPAA, and security strategy

No Obligation

Free consultation with no strings attached

Can't find a time that works? Email me directly at peter@peterhallen.com