Services

Full Engagement

A comprehensive security partnership for organizations deploying AI systems at scale: from initial assessment through implementation consulting and ongoing review.

OWASP Agentic Top 10 contributor Β· CISSP Β· PhD Β· 15+ years enterprise security

What a full engagement includes

Baseline Assessment

Thorough assessment of your current AI systems, infrastructure, and security posture β€” identifying the highest-priority risks.

Remediation & Implementation

Working through the highest-priority findings. Embedding alongside your engineering team to build security into the architecture.

Standards and Process

Security review checklists, threat modeling for LLMs, testing methodology, monitoring standards, incident response playbooks.

Ongoing Support

Regular touchpoints as your systems evolve: architecture reviews, security review of significant changes, access to expertise.

Typical engagement structure

Phase 1: Baseline Assessment

Full findings report with severity rankings, reproduction steps, and a remediation roadmap.

Phase 2: Remediation Support

Working through the highest-priority findings. Embedding alongside your engineering team.

Phase 3: Standards and Process

Security review checklists, threat modeling, testing methodology, monitoring standards.

Ongoing Support

Regular touchpoints as your systems evolve: architecture reviews, security review of significant changes.

Structure and pricing

Scoped to what needs to be done. Typical engagements run 3–6 months.

Common questions

When you're building multiple AI systems in parallel, deploying AI across teams, under compliance pressure, or standing up an AI security capability for the first time.

A full engagement is structured and cohesive. Phase 1 findings directly inform Phase 2 remediation. Phase 2 outcomes shape Phase 3 standards. It's a single narrative, not disconnected projects.

Typical engagements run 3–6 months. Fixed-scope projects have a clear end date. Ongoing retainers continue as long as needed.

Both. Phase 3 is specifically about establishing repeatable security practices your team can maintain independently. The goal is to leave you with lasting capability, not just a report.

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.

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

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.