Topic starter
06/11/2026 6:55 pm
TL;DR: Data security breaks down when valuable information is protected at rest but not governed as it moves through workflows, according to AET Europe's analysis of customer data chains. Practitioners need controls that verify trusted identities, data integrity, and secure handoffs across every step.
Editorial analysis by NHI Mgmt Group, based on content published by AET Europe: “Is Your Data Security Worthy of Your Crown Jewels?”.
Key questions
Q: Why is compliance not enough for data security?
A: Compliance is a baseline, not a complete security strategy, because regulatory requirements usually define minimum controls rather than the full protection needed for real threats, sensitive data paths, or privileged access.
Q: How do digital certificates support trusted data exchange?
A: Digital certificates support trusted data exchange by binding a public key to a verified identity, usually a system, service, or device, through a certificate authority.
Q: How do teams secure data that moves through business workflows?
A: Teams secure data moving through business workflows by classifying the data, applying encryption in transit and at rest, and controlling each transfer channel with authenticated interfaces, DLP rules, and least-privilege access to source and destination systems.
Practitioner guidance
- Define crown-jewel workflows before controls Identify the workflows where critical data is created, transformed, shared, or relied on, then mark each step where trust can fail.
- Verify identities at each handoff Require step-specific identity assurance for users, services, and third parties before data can move to the next stage.
- Map secure channels across the data supply chain Document which channels carry sensitive information, which protections each one uses, and where integrity checks must occur.
Bottom line: Crown-jewel protection fails when security focuses on storage while leaving workflow handoffs under-governed.
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
06/11/2026 6:56 pm
Crown-jewel data governance fails when organisations protect repositories more tightly than workflows. The real security boundary is the chain of handoffs, validations, and approvals that move information through the business. When those steps are weak, compliance may still look acceptable while the operational process remains fragile. Practitioners should treat movement, not storage, as the primary risk surface.
A few things that frame the scale:
- Business leaders plan to spend $124 million on average on AI in 2026, and 91% say data security and risk will shape their AI strategy.
A question worth separating out:
Q: What is the best way to prioritise crown-jewel data protection?
A: The best way is to rank assets by business criticality, then protect the highest-value data with stronger access controls, tighter segmentation, and continuous monitoring. Crown-jewel data should have named owners, explicit handling rules, encryption, restricted sharing, and recovery plans, because its exposure or loss would cause the greatest operational or legal harm.
👉 Read our full editorial: Data security falters when trusted identities are missing