Topic starter
11/07/2026 8:39 pm
TL;DR: Cyber risk remains the top concern, 80% of ERM decision-makers say volatility is rising or flat, and nearly 75% of enterprises experienced at least one critical risk event in the past year, according to Secureframe’s 2025 risk statistics. Risk programmes now need tighter control mapping, cross-functional visibility, and clearer ownership to stay credible.
Editorial analysis by NHI Mgmt Group, based on content published by Secureframe: “50+ Risk Management Statistics to Know in 2026”.
By the numbers:
- 80% of enterprise risk management decision-makers say volatility is either increasing or staying the same.
- Nearly 75% of enterprises experienced at least one critical risk event in the past year.
- Only 35% of financial leaders report having comprehensive ERM processes in place.
Key questions
Q: Why do browser extensions matter to identity and access governance?
A: Browser extensions matter because they are delegated software identities operating inside a user trust context.
Q: Why does third-party risk often become an access control problem?
A: Because vendors, subcontractors, and service providers frequently interact with internal systems through credentials, tokens, shared platforms, or delegated permissions.
Q: What are the warning signs that an ERM programme is too fragmented to be effective?
A: Common signs include unclear ownership for major risks, poor linkage between controls and risk records, limited supplier visibility beyond tier one, and reporting that does not reflect recent critical events.
Practitioner guidance
- Build a cross-functional risk-to-control map Link the major enterprise risks you track to specific owners, identity controls, supplier controls, and response workflows so risk data can drive action rather than remain a reporting artifact.
- Treat third-party access as lifecycle governance Inventory vendor accounts, delegated permissions, and service identities alongside contract reviews so offboarding, rotation, and revocation are part of third-party risk management.
- Separate AI-enabled threats from AI-enabled controls Record where AI increases risk exposure and where it improves detection or assessment, then assign clear control owners for each use case.
Bottom line: The article shows that cyber, third-party, insider, and AI risks are converging into one governance challenge rather than separate workstreams.
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
11/07/2026 9:09 pm
Enterprise risk is becoming an identity and access governance issue, not just a reporting problem. The article’s statistics point to a pattern where cyber, third-party, insider, and AI risk all depend on who can access what, when, and under whose authority. Once that happens, risk management quality is determined by identity lifecycle discipline as much as by policy volume. The practitioner conclusion is that IAM, IGA, and PAM data must feed the risk function directly.
A question worth separating out:
Q: Should organisations prioritise cyber risk, AI risk, or third-party risk first?
A: They should prioritise the risks that share the same control surfaces. In practice, that often means starting with cyber and third-party exposure because both commonly depend on identity, access, and offboarding discipline. AI risk should be added at the same time where AI systems can influence decisions, inherit privileges, or accelerate phishing and fraud.
👉 Read our full editorial: Risk management statistics show cyber, third-party, and AI risk rising