AI risk and readiness assessment
Understand exposure, maturity, and the controls already in place across data, access, models, vendors, and workflows.
AI security and governance
Secure the way your organization adopts AI.
We help organizations understand AI risk across data, models, vendors, workflows, access, and people, and build practical controls that support adoption without unnecessary friction.
AI security and governance work can be combined with the FPA Intelligence Platform to track risk alongside the transformation roadmap.
Four pillars
Where AI adoption creates exposure, and what to put in place.
Governance is most useful when it is specific: which data, which access, which vendors, and who answers for each.
01
Secure data and access
Define what AI systems may reach, how prompts and outputs are handled, and how identity and privilege stay controlled as adoption spreads.
02
Govern models and vendors
Set approval, review, and documentation expectations for the models and third-party tools teams want to use.
03
Manage operational and regulatory risk
Connect AI risk to the risk, audit, and compliance processes the organization already runs, rather than creating a parallel program.
04
Monitor AI adoption over time
Track which use cases are live, what data they touch, and where new risk appears as the estate grows.
Service areas
Ten areas of AI security and governance work.
Engaged individually or as one program, depending on where your exposure and regulatory pressure sit.
AI governance framework
Define decision rights, review gates, documentation, and accountability for AI use across the organization.
Secure data and prompt-handling practices
Set clear rules for what may enter AI systems, how outputs are stored, and how sensitive information is protected.
Identity, access, and privilege review
Review who and what can reach AI tools, data, and downstream systems, and reduce standing privilege where it is not needed.
Third-party AI vendor assessment
Assess vendors and models against data handling, retention, dependency, transparency, and exit considerations.
Model and workflow risk review
Review how models and automated workflows behave in practice, including failure modes and the points where human oversight is required.
Policy and acceptable-use design
Write policies people can actually follow, covering approved use, prohibited use, and escalation paths.
AI penetration testing support
Support assessment of AI-enabled applications, integrations, APIs, access paths, prompt-handling controls, and connected workflows for security weaknesses. Testing is performed only with explicit client authorization and an agreed scope.
Regulatory and documentation readiness
Organize documentation and controls so they hold up to audit, customer, and regulatory questions as requirements evolve.
AI red teaming and adversarial evaluation support
Support structured adversarial testing of AI systems and workflows to identify prompt-injection exposure, data leakage, unsafe behavior, excessive agency, misuse paths, and other failure modes before wider adoption.
Our approach
We help organizations identify, reduce, govern, and monitor AI risk across data, access, models, vendors, workflows, and people. We also design controls that support adoption rather than blocking it.
Realistic expectations
We do not describe AI adoption as risk-free, and we do not claim that risk can be eliminated. The goal is informed, governed exposure that the organization has chosen deliberately.
Security documentation
We share detailed information about our security practices, data handling, and delivery approach during evaluation, under NDA where required.
How the work is staffed
Security and governance engagements are run with your risk, legal, technology, and business owners in the room, so the controls that come out are ones your teams will actually operate.
Adopt AI with the controls already in place.
We assess what is exposed today, design the governance that matches your risk appetite, and leave your teams able to run it.
Start with one business unit, department, or strategic priority.