Advisory services

Security and governance built for the way AI actually gets deployed.

Each service is designed for leaders who need accountable decisions, implementable controls, and a usable route through evolving AI risk and regulation.

Vendor-agnostic · Principal-led
01 · EU AI ACT READINESS

Know what applies—and what to do next.

Turn an uncertain regulatory landscape into a clear program of work. We map the AI systems you operate to relevant responsibilities and prioritize the controls, evidence, and decisions required.

  • AI system inventory and governance ownership
  • Risk classification and obligation mapping
  • Gap analysis across security, data, monitoring, and documentation
  • Executive and implementation roadmap
Discuss readiness
02 · AI SECURITY ASSESSMENTS

Assess the full attack surface, not just the model.

AI risk lives across models, prompts, data, identities, APIs, cloud infrastructure, third-party components, and human operating processes. The assessment follows those real paths.

  • LLM, RAG, and agentic workflow threat modelling
  • Identity, access, secrets, and privilege boundaries
  • Model supply chain, data governance, and cloud controls
  • Runtime monitoring and incident response readiness
Discuss an assessment
03 · AI AGENT GOVERNANCE

Give autonomous systems accountable boundaries.

When AI agents can access tools, data, and workflows, governance needs to move from policy statements to actionable guardrails, approvals, and audit trails.

  • Agent registry, use-case classification, and ownership
  • Human approval gates and intervention criteria
  • Identity architecture and least-privilege tool access
  • Logging, monitoring, testing, and evidence design
Discuss agent governance
04 · vCISO ADVISORY

Retain experienced judgment as your program evolves.

Use ongoing advisory when a point-in-time assessment is not enough. The focus is strategic direction, architectural decisions, and practical governance that evolves with your AI program.

  • Leadership and board-level AI risk guidance
  • Architecture and control design review
  • Third-party and emerging technology risk input
  • Program milestones and implementation coaching
Discuss ongoing advisory

The engagement process

A clear path from first call to owned roadmap.

Every engagement follows the same transparent arc, so you always know where you are and what comes next.

  1. 1

    Discovery call

    A confidential conversation to understand your AI estate, obligations, and the decisions ahead.

  2. 2

    Scope & inventory

    Agree scope, then inventory systems, owners, data flows, and autonomy levels.

  3. 3

    Assess & classify

    Evaluate security and governance gaps and classify systems against real risk.

  4. 4

    Roadmap & owners

    Deliver a prioritized roadmap with accountable owners and decision points.

  5. 5

    Enable & review

    Support implementation and review progress—continuously or at defined milestones.

Engagement model

A focused start, with room to grow.

Most organizations begin with a defined scope. That creates an evidence-backed baseline before deciding whether they need a deeper assessment or retained advisory.

EU AI Act Readiness Snapshot

Typical focusAI inventory, applicability, priority gaps, and delivery roadmap
Typical duration2–3 weeks, shaped to the systems and stakeholders in scope
Working styleDirect access to the principal advisor; practical sessions with security, product, engineering, legal, and risk leaders
Next decisionChoose focused remediation, a deeper assessment, or ongoing advisory based on evidence—not pressure

Start with the uncertainty that is most expensive to leave unresolved.

We will discuss your context before recommending any engagement.

Request a discovery call