ENISA has issued a technical advisory intended to help organisations adopt software bills of materials. The guidance focuses on practical implementation and the needs of smaller organisations and software stewards, linking SBOM practice to secure-by-design and secure-by-default expectations. An SBOM is an inventory, not a guarantee: its value depends on coverage, accuracy, update frequency and the ability to act on the information.

The timing matters as AI systems accumulate dependencies across model serving, agent frameworks, connectors, plugins and conventional software libraries. A static list can age quickly, while generated or third-party components may be hard to identify. Enterprises therefore need a process that links component identity to vulnerability intelligence, ownership, remediation and evidence for customers and regulators.


AI for Leaders: Governance, Risk & Why Strategy Must Come First
Is your organisation adopting AI without a defined strategy or governance? If so, you're not alone — and the consequences range from data breaches to reputational damage to safeguarding failures. AI is a strategic risk, not a silver bullet, and definitely not a magic data fairy. Without clear ownership, rules, and accountability, AI can proliferate across your organisation in ways that cost more — in time, money, and trust — than not using it at all. Speakers: Craig Clark, Director at Clark & Company Information Governance Services, and Stewart Tinson, Project Director, AI-360. You'll learn: Why "understand your why" must precede any AI rollout Which risks senior leaders most commonly overlook — from data leakage to safeguarding How to measure AI value through outcomes, not adoption metrics Why accountability for AI governance sits with the C-suite, not IT or compliance Key topics: AI strategy • Risk appetite • Data protection • Bias & fairness • Safeguarding • AI literacy • Governance models • Return on investment • Executive accountability • AI use case tiering For CISOs, CIOs, and senior leaders who need to govern AI responsibly — before it governs them.

Share this post
The link has been copied!