For CISOs and security leaders
Structure and decisions for AI-era identity, without restarting your whole stack
AI, LLMs, and automation are arriving faster than most identity and access practices were designed to handle. You may already have IAM standards, vendor platforms, and a roadmap, but AI agents, tools, and data flows do not always fit cleanly into them. We help CISOs and security leaders work out how AI and identity fit together so you can move from experiments to defensible, repeatable patterns.
What changes when AI arrives
From a CISO's perspective, AI mostly changes who can act, how they act, and what they can see.
- New kinds of actors AI agents, assistants, and automations start making calls, moving data, and triggering workflows as if they were people or systems of record.
- Different access patterns Prompts, tools, and retrieval systems pull data in ways traditional application-centric access models did not anticipate.
- Opaque decision paths It gets harder to explain who effectively decided what, and on what basis, when AI is in the loop.
- Tighter governance expectations Boards, regulators, and customers expect you to show how AI activity is identifiable, governable, and reviewable.
Our position: AI does not create new categories of security risk. It accelerates and obscures the same identity, access, and accountability problems that enterprises have always had. The difference is that the actors are harder to see, the access paths are harder to trace, and the governance expectations are tighter than before.
Where security leaders get stuck
Most of the friction shows up in a few predictable places.
- AI activity that is technically "in scope" for IAM, but in practice sits outside your current patterns, ownership, and tools.
- Product and engineering teams pushing AI use cases faster than IAM and governance structures are updating.
- Vendor claims that blur the line between "AI security product" and the identity, logging, and controls you already own.
- Difficulty turning broad AI risk statements into specific decisions about identities, access, logging, and review.
We help you turn these into discrete identity and access problems that your organization can actually solve.
From experiments to standards
Our work with CISOs is about turning experimental AI use into patterns your teams can implement, extend, and defend.
- Clarifying how AI agents, assistants, and automations should show up in your identity model, including ownership and lifecycle.
- Mapping AI-related access patterns to concrete controls, logs, and review processes that can live inside your current stack.
- Aligning AI-related IAM decisions with the board-level narratives and governance questions you are already using.
- Providing a neutral perspective when comparing architectures or vendor options, so identity and accountability are not an afterthought.
We aim to leave you with a small number of standards and patterns that can survive vendor change, staff turnover, and shifting AI roadmaps.
Typical ways we work with CISOs
Most CISO-focused work falls into a few repeatable patterns that can be scoped tightly and revisited as your AI program matures.
AI identity baseline review
A focused review of how AI agents, automations, and LLM access show up in your current identity, logging, and governance structures, with concrete options for closing gaps.
Use-case-driven assessment
A deep dive into one or two priority AI use cases to clarify identities, access, logging, and failure modes, then generalize the results into patterns.
Architecture and control design support
Working sessions with identity, security, and architecture teams to design AI-aware controls that mesh with the systems you already run.
Board-aligned reporting design
Support for designing AI and identity reporting that works for both security leadership and the board, using the same underlying facts.
Each engagement is designed to fit inside your existing programs and governance calendar, rather than creating a parallel track that your teams cannot sustain.
Where security leaders go next