Full Engagement
A comprehensive security partnership for organizations deploying AI systems at scale — from initial assessment through implementation consulting and ongoing review.
Get in touch about this →When this makes sense
Some situations need more than a point-in-time assessment or a short consulting engagement. If you’re:
- Building multiple AI systems or components in parallel
- Deploying AI across teams and need consistent security standards
- Under compliance or regulatory pressure around AI systems
- Standing up an AI security capability for the first time
…a structured, longer-term engagement typically delivers better outcomes than a series of disconnected projects.
What a full engagement includes
Phase 1: Baseline Assessment
A thorough assessment of your current AI systems, infrastructure, and security posture — identifying the highest-priority risks and establishing a baseline for everything that follows.
Deliverable: Full findings report with severity rankings, reproduction steps, and a remediation roadmap.
Phase 2: Remediation and Implementation Support
Working through the highest-priority findings — not just documenting what’s wrong, but helping fix it. For systems under active development, I embed alongside your engineering team to build security into the architecture as it evolves.
Phase 3: Standards and Process
Establishing repeatable security practices your team can maintain independently:
- Security review checklists for AI features and releases
- Threat modeling process extended for LLM components
- Testing methodology for prompt injection and adversarial inputs
- Monitoring and alerting standards for AI system anomalies
- Incident response playbooks specific to AI system failures
Ongoing Support
Regular touchpoints as your systems evolve — architecture reviews for new features, security review of significant changes, and access to expertise when questions come up.
Who this is for
- Organizations deploying AI systems that handle sensitive data, automate significant decisions, or interact with customers at scale
- Teams preparing for a compliance audit or investor due diligence that will include AI security
- Engineering and security organizations that need sustained external expertise while building internal AI security capability
- Companies that have already discovered security gaps in their AI systems and need comprehensive remediation
Structure and pricing
Full engagements are scoped based on what needs to be done. Typical engagements run 3–6 months, structured as either a fixed-scope project or an ongoing retainer.
Sounds like a fit?
A short call is usually enough to figure out whether this is what you need and what it would look like.