Human risk is a critical layer of any security strategy. Human risk management addresses how employee behaviorfrom accidental sharing to shadow AI usecreates organizational exposure. Discover how Mimecast, on AWS, helps identify risky behavior, protect critical data and account access, and support compliance. Real-world insights. Behavioural analytics. Adaptive controls. Measurable ROI.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Human behaviour as a security layer. Behavioural analytics + adaptive controls covering accidental sharing, account compromise, and shadow AI use.
Why it matters
Most breaches start with human action. Detecting risky behaviour proactively reduces incidents.
The hard parts
Behavioural analytics tread close to surveillance. Cultural acceptance matters as much as technical capability.
Playbook moves
(1) Be transparent internally about what's monitored. (2) Tie controls to outcomes (block phishing) rather than surveillance (track who clicks). (3) Use behavioural data to drive training, not punishment.
The surprise
"Shadow AI use" — employees feeding company data into public LLMs — is the new shadow IT. It's already everywhere; your DLP probably can't see most of it. Plan for it as a category, not a one-off incident.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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