Governance & Compliance

The backbone of a real security program

Governance provides the integrity guarantees for everything from design to deployment - and the compliance evidence to prove them. We build and accelerate security programs across three disciplines: responsible AI, operational technology, and threat modeling. Not checklist exercises - programs that hold up under scrutiny.

What we cover

Three governance disciplines

Each is a standing program we can build, accelerate, or run alongside your team.

AI Governance

Gates and guardrails for generative AI, from infrastructure planning through deployment and monitoring. Delivered as our Responsible AI Governance service: an embedded release gate plus program assessment.

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OT and IoT Security

Governance for operational technology and connected devices - the systems behind data centers, factories, and facilities that traditional security programs overlook.

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Threat Modeling

Systematically finding design-level threats before code ships - run as a one-time exercise or an ongoing, continual program embedded in your SDLC.

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01 / AI Governance

Getting AI products to market securely

Casaba has partnered with industry leaders to take a primary role in assuring that AI-based products are built with security and responsibility in mind. We embed as a security release gate for generative AI, and we assess whether an AI governance program holds up under real threats and real frameworks.

Embedded release gate

Own the security checkpoint for AI releases, advising teams from early design through deployment.

Program assessment

Measure the maturity of your AI security program org-wide, and close the gap between policy and posture.

Framework alignment

Practical alignment with the NIST AI RMF, ISO/IEC 42001, and the EU AI Act - implementation that withstands audit.

Responsible AI Governance

02 / OT and IoT Security

Securing the systems behind the systems

Operational technology runs the data centers, factories, and facilities most security programs never look at. We help organizations govern these often-overlooked assets - and test them hands-on, from the chip to the cloud.

Facilities and industrial systems

SCADA, HVAC and power distribution, perimeter controls, and building entry systems.

Connected devices and firmware

IoT devices, embedded systems, and firmware - analyzed for secrets, update integrity, and tampering.

End-to-end lifecycle

From secure provisioning and secret management through long-term rotation and decommissioning.

Device and firmware security testing

Device and Firmware Security Testing

Firmware analysis, companion tools, cryptographic implementation, and network services.

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03 / Threat Modeling

A standing practice, not a one-time exercise

Threat modeling is a cornerstone of a mature security program: systematically identifying threats in your design before code ships. It is iterative by nature - the model evolves as the system does. We run it as a focused engagement or as an ongoing program, in some cases operating a client's threat-modeling practice on a continual, day-to-day basis.

Design-phase review

STRIDE analysis, data flow diagrams, security boundaries, actors, and threats - before a line ships.

Ongoing program

Embedded in your SDLC and change process, re-run as architecture and features evolve.

Specialized tracks

Dedicated review tracks for AI, privacy, and cryptographic concerns.

Threat modeling services

Threat Modeling

STRIDE analysis, data flow diagrams, and specialized AI and privacy review tracks.

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Compliance

Built to the frameworks you answer to

Governance only counts if it satisfies the auditors and regulators you report to. We align programs to the standards that matter for your industry and your AI footprint, and we map controls to real evidence rather than paperwork.

  • NIST AI RMF
  • ISO/IEC 42001
  • EU AI Act
  • ISO 27001
  • SOC 2
  • PCI DSS
  • FISMA
  • SOX
  • HIPAA

Common questions

Frequently asked questions

What is AI governance?
AI governance establishes the policies, processes, and security guardrails for developing and deploying AI systems responsibly. We help organizations build frameworks that address safety, security, compliance, and accountability throughout the AI lifecycle.
What is OT security governance?
Operational technology security governance covers the policies and controls for securing data center infrastructure, building systems, IoT devices, and industrial control systems. We help organizations manage the security of these often-overlooked assets.
Can you run threat modeling as an ongoing program?
Yes. Threat modeling can be a focused, one-time exercise or a continual practice embedded in your development lifecycle. For some clients we operate the threat-modeling program on a day-to-day basis as the architecture and feature set evolve.
What compliance frameworks do you work with?
We align programs to the frameworks that matter for your industry and your AI footprint, including the NIST AI RMF, ISO/IEC 42001, ISO 27001, SOC 2, the EU AI Act, PCI DSS, FISMA, SOX, and HIPAA. The focus is mapping controls to real evidence, not just producing documentation.
Do you build governance programs, or only assess them?
Both. We create and accelerate security and governance programs from the ground up, and we assess the maturity of existing programs to find where written policy and real-world posture diverge.
How is this different from your AI/LLM security testing?
AI/LLM Security is hands-on penetration testing of AI systems and applications. Responsible AI Governance is the program and release-gate layer around them - setting standards, gating releases, and assessing the broader program. Many clients use both together.

Need a governance program that works?

We'll help you build one that fits your organization - not a checklist exercise.

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