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AI-Native Remediation with Pleri: Your Security Engineer That Ships

What this session is about

Most security tools find the problem and hand it to a human. Plerion closes the loop. In this talk, we'll show how Pleri, our AI security engineer powered by Amazon Bedrock, takes a critical cloud risk from detection to remediation without the alert-ticket-backlog cycle. Watch a top risk get prioritized, a ticket filed, a PR opened, and code-level remediation land in your environment. Re-define what it means to have an AI teammate that does the work, not just alerts and reporting.

Playbook

Editorial commentary · what to actually do about this on Monday

The concept
AI security agent that goes from detection to remediation. Prioritisation → ticket → PR → code-level fix in your environment. Closes the alert-to-action loop.
Why it matters
Most security tools find problems and hand them off. The handoff is where things rot. Closing the loop is the unlock.
The hard parts
Auto-remediation requires write access to production code. That's a trust gate, not a tech gate.
Playbook moves
(1) Stage trust. Start with PR proposals, not auto-merge. (2) Track agent suggestion quality before granting more authority. (3) Keep humans in the loop on critical-path changes indefinitely.
The surprise
The risk most teams worry about (the AI ships a bad fix) is rarer than the risk they ignore (humans ignore PR queues that pile up). Auto-remediation works because it forces the queue to drain. Stalled queues are the bigger threat than occasional bad fixes. ---

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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