Who Owns AI Governance
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
Establishing Enterprise Ai Governance
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
Board Reporting on AI & Cybersecurity Risk
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
Agentic AI Controls
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
The First 90 Days with a vCISO
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
AI Governance Readiness
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
Vendor AI Risk
A practical guide to evaluating the artificial intelligence your vendors are embedding in the products you already use; where the exposure sits, what to require contractually, and how to assess it without stalling procurement
Your Doing the Same Work Twice
Most organizations do not have a compliance problem; they have a coordination problem that manifests as compliance issues. As new frameworks like CMMC and the EU AI Act emerge, separate teams tackle overlapping requirements independently, leading to duplicated efforts and costly gaps. This fragmentation not only inflates costs but also creates inconsistencies that can jeopardize compliance. The solution lies in unifying these efforts under a single control foundation, allowing organizations to implement controls once and demonstrate compliance across multiple frameworks. Discover how to streamline your compliance processes and eliminate unnecessary duplication in your organization.
Assessed Signal – July 2026
Illinois has taken a groundbreaking step by enacting the first state law mandating independent third-party audits of frontier AI models, shifting oversight from developer self-attestation to external verification. As organizations prepare for a compliance deadline of January 1, 2027, the landscape of AI security is evolving. The FBI has raised alarms about Russian intelligence stealing Signal backup recovery keys, while Google’s researchers have documented alarming trends in AI weaponization. With generative AI pilots struggling to reach production, the gap between AI adoption and assurance widens. Discover how organizations can navigate these challenges and position themselves for success in the AI landscape.
Across the Industry Brief – Issue 16
Illinois Governor JB Pritzker recently signed the Artificial Intelligence Safety Measures Act, making Illinois the third state to regulate frontier model developers, following California and New York. This legislation aims to establish a state-driven national framework in response to federal inaction. Meanwhile, the FTC is seeking public comment on a proposed policy that could assert federal preemption over state AI laws, particularly those affecting model outputs. Additionally, the UN convened a Global Dialogue on AI Governance, highlighting the urgent need for international cooperation in managing AI risks. Discover the implications of these developments for organizations navigating the evolving AI landscape.