← Thursday, October 15, 2026ArchitectureCase study

Tamnoon reports cutting critical cloud exposures by over 90% with agentic remediation

aws.amazon.com by Ishara Premadasa 12 min read Editor score 7/10

Tamnoon’s Tami investigates cloud findings, assesses remediation safety and orchestrates guarded fixes; the company reports over 90% fewer critical exposures in 90 days with no production issues. The case shows how agents can act in sensitive cloud workflows.

What
Tamnoon built Tami, an agentic cloud-remediation orchestrator that investigates security findings and assesses whether fixes are safe.
How
The platform normalizes findings into a unified schema, enriches them with asset and exposure context, prioritizes them, then uses specialized agents to orchestrate fixes.
Why it matters
The post reports a reduction of over 90% in critical cloud exposure in 90 days with zero production issues; its staged workflow aims to make remediation safer at scale.
ingests findi… enriches prioritizes orchestrates CNAPPs unified schema asset andexposure context specialized AIagents fix
Findings are normalized and enriched before specialized agents handle remediation. Sketched from the article's own text.

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