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# How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock
**AI Security** · Oct 15, 2026 · 3 min read
Source: AWS ML Blog — https://aws.amazon.com/blogs/machine-learning/how-tamnoon-built-ai-powered-cloud-security-remediation-with-amazon-bedrock/
### The Gist

Tamnoon used Amazon Bedrock to build Tami, an agent that doesn't just find cloud security holes but actually fixes them. They slashed critical exposure by 90% in 90 days without causing a single production outage.

### Why It Matters

Security teams are drowning in alerts they can't manually resolve. This marks the shift from passive AI assistants that talk to you, to autonomous agents that actually do the work, moving the needle from detection to true remediation.

### Market Impact

This signals a massive move from SaaS tools that show you problems to 'Service-as-Software' agents that solve them, threatening traditional security vendors that only offer monitoring.

- Build agentic layers on top of existing security tools to provide the 'action' layer that current players lack.
- Focus on 'safety-first' agentic architecture where the primary value is guaranteed zero production downtime during fixes.
- Target the investigation phase of security workflows where AI can triage and gather context before a human even starts their shift.- The 'black box' problem: autonomous agents could cause massive configuration drift, making it impossible for human operators to understand their own infrastructure.
- Production fragility: a single bad remediation logic loop could trigger a cascading outage across an entire cloud environment.### ELI5

Imagine your house alarm goes off and instead of just making noise, a robot automatically checks if the door is open, locks it, and resets the system while you sleep. That is what this does for cloud security.

### Deep Dive

{"sections":[{"heading":"The Death of the Assistant","body":"We are seeing the end of the 'Copilot' era. Copilots tell you what is wrong, but agents actually pull the lever. Tamnoon is proving that agentic workflows are the only way to scale security operations as cloud complexity explodes."},{"heading":"The Trust Gap","body":"Claiming zero production issues in 90 days is a massive flex, but the industry is skeptical. The real battleground isn't the ability to fix a bug, it is the ability to prove the fix won't crash the entire stack."},{"heading":"Service-as-Software","body":"This is a blueprint for the next wave of enterprise software. Investors should watch for startups that replace headcount with autonomous loops rather than just providing better dashboards for humans to click."},{"heading":"What to Watch","body":"Watch for how AWS integrates these agentic capabilities deeper into Bedrock. If the infrastructure makes it easy for everyone to build agents, the moat moves from the AI model to specific security domain expertise."}]}

### Key Takeaways

- **Agentic over Assistant** Moving from 'tell me what is wrong' to 'fix it for me' is the next major evolution in enterprise software.
- **Service-as-Software is real** Investors should hunt for companies that deliver outcomes like resolved vulnerabilities rather than just access to a dashboard.
- **Guardrails are the moat** The winner in autonomous remediation won't be the smartest model, it will be the one with the tightest safety constraints.


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