AI Powered Threat Detection: AWS GuardDuty + Bedrock + Slack

🚨 AI-Driven Cloud Security Threat Detection on AWS 🚨

Security teams drown in raw GuardDuty JSON alerts every day — most of it is noise, and the real threats get lost in the chaos. In this video, I build a complete AI-powered threat detection pipeline that turns cryptic security findings into clear, actionable Slack alerts — automatically.

🔧 What we build:
✅ Enable AWS GuardDuty for real-time anomaly & threat detection
✅ Filter findings by severity using Amazon EventBridge (only High/Medium alerts trigger automation)
✅ Use a Python AWS Lambda function to process each finding
✅ Send the raw finding to AWS Bedrock (AI model) for risk assessment
✅ Get a human-readable threat summary + exact remediation commands
✅ Post a rich, color-coded alert card directly to Slack (#security-ops)

💡 Why this matters:
Instead of engineers manually decoding JSON and guessing next steps, the AI does
the triage — explaining what happened, the business impact, and the exact AWS
CLI commands to fix it immediately. This is real-world AIOps for cloud security,
not just theory.

🏗️ Architecture:
GuardDuty → EventBridge → Lambda (Python) → AWS Bedrock → Slack

📌 Topics covered:
- AWS GuardDuty setup & sample findings
- EventBridge event pattern filtering by severity
- Writing a production-style Lambda function
- Prompting Bedrock for structured security analysis
- Slack Block Kit for rich, color-coded alerts
- Cleanup best practices

👍 If you're into DevOps, Cloud Security, or AIOps, this project is a great hands-on
build to add to your portfolio.

🔔 Subscribe for more real-world DevOps + AI projects!

🔗 Links
GitHub: https://github.com/saikiranpi/aiops-tasks
LinkedIn: https://www.linkedin.com/in/saikiranpinapathruni/
Website: https://saikiranpi.in/
Topmate: https://topmate.io/pinapathruni_saikiran/

#aws #cloudsecurity #devops #aiops #guardduty #awsbedrock #awslambda #slackliner #cybersecurity #ai #awscommunity

Видео AI Powered Threat Detection: AWS GuardDuty + Bedrock + Slack канала Saikiran Pinapathruni