20
Jul
SAP Transformation Is Redefining the Role of the CISO
13 min read
AI Governance
AI Governance examines how enterprises establish accountability, policies, controls, and oversight for the responsible and secure use of artificial intelligence. Coverage includes AI risk management, agentic AI, regulatory requirements, lifecycle governance, data, models, identity, authorization, human oversight, and organizational accountability—with a CISO focus on governing AI as it gains greater access, autonomy, and authority.
20
Jul
SAP RISE Is Never “Set and Forget”
SAP RISE is not a project that ends at go-live. It is a continuously evolving operating model that requires permanent governance. This article explains why operational assurance—not implementation success—has become the defining responsibility of the modern CISO.
14 min read
18
Jul
Vendor Lock-In Is Not the Real Risk in SAP RISE - Loss of Control Is
17 min read
17
Jul
THE AI CONTROL GAP
2 min read
14
Jul
Token Economics Will Become the Next Shadow IT
9 min read
12
Jul
Experience Substitution Bias
AI can generate knowledge. It cannot generate experience. As organizations increasingly rely on AI for analysis and decisions, they risk losing the tacit judgment that underpins resilience. Experience Substitution Bias may become one of AI governance’s most overlooked risks.
4 min read
12
Jul
Data Sovereignty Is Not About Where Your Data Sleeps
9 min read
09
Jul
Trusted Boundaries: The Forgotten Foundation of a Credible ISMS
An ISMS scope is only credible when it explains where trust begins and where it ends. Trusted boundaries define the real limits of control across identities, devices, applications, data flows, suppliers, cloud platforms and AI agents.
13 min read
09
Jul
The AI Officer Is Not the New CISO
Appointing one person “responsible for AI” does not create control. It creates a super-role with responsibility for everything and authority over little. AI governance needs coordination — while security, privacy, business ownership and assurance remain distinct.
10 min read
08
Jul
Cybersecurity 2030
Cybersecurity 2030 is not about a single breakthrough attack. It is about expiring assumptions — identity, cloud, auditability, AI accountability and governance models that no longer preserve organizational agency under pressure.
13 min read