Public AI tools such as ChatGPT and Gemini are safe enough for work when staff use approved business accounts, restricted data never goes into any tool and a person checks every output. This article compares provider terms by account type, gives a 6-part policy and maps each part to the NIST AI RMF, ISO/IEC 42001 and the EU AI Act.
Is It Safe to Use ChatGPT at Work? A Workplace Policy for Public AI Tools Read More »
AI will not replace cybersecurity teams. It is taking over alert triage, evidence collection, control testing and first-draft reports, while people keep judgment, risk acceptance and accountability. Research published by ISC2, SANS, ISACA, Stanford and Carnegie Mellon in 2025 and 2026 shows the work moving from producing to checking.
Will AI Replace Cybersecurity Teams? What the Evidence Says Read More »
Rewrite each AI policy statement as a condition a system can check, with evidence, an owner and a frequency, so Continuous Control Monitoring can test it.
From AI Governance Policy to Continuous Control Monitoring Read More »
A policy states intent, and only a tested control shows what an AI system did this week. See why continuous AI governance needs technical controls and evidence.
Why Continuous AI Governance Requires Technical Controls Read More »
Run AI governance in operation: name an owner, inventory every AI system, write guardrails as tested controls, map them once and report the trend with evidence.
How to Run AI Trust, Risk and Security Management in Operation Read More »
Gartner names a discipline for governing AI systems. TRiSCM covers every control in the enterprise and adds Compliance as the fourth part. See the difference.
Gartner’s AI Trust, Risk and Security Management and TRiSCM, and What the C Adds Read More »
TRiSCM means Trust, Risk, Security and Compliance Management. See how one failed access review becomes four answers, and why one control record settles them.
What Is TRiSCM? The Answer, Told Through One Failed Control Read More »
Eight GRC platforms in their own words, and one test that decides the shortlist: which controls are checked against live data between audits.
The best GRC platforms in 2026, compared by the evidence they keep Read More »
Continuous Control Assurance (CCA) decides whether each control still works, and Enterprise Trust, Risk, Security and Compliance Management (TRiSCM) carries that answer to risk, suppliers, AI systems, resilience and the board. Margareta Petrovic sets out the data model that connects them and follows one failed control through it.
Continuous monitoring tells a team that something changed, and Continuous Control Assurance (CCA) tells it whether its controls still work after the change. This article draws the line between detecting and validating, shows where NIST draws the same line, and follows one change through the 4 steps of the DigitalXForce model.
Monitoring Detects. Continuous Control Assurance (CCA) Validates. Read More »
Era of Automated Security Risk and Posture Management
Era of Automated Third Party Risk Management: Trust but Verify
Era of Automated Security Plans, Standards, Policies and Procedures
