🎮The Next Input — Issue #034

The Era of AI Hacking is Here

In partnership with

Puss In Boots Cat GIF

⚡ The Briefing — 60 sec

🛠️ The Playbook — AI Threat Monitor for Security Teams

Mission Continuously scan AI model outputs, security feeds, and known exploit repos for suspicious activity, cluster threats, and alert security leads in Slack.
Difficulty Advanced | Build time 90 min
ROI Security analysts save ≈ 12 h/week and catch red flags earlier.

Step

Action

1

Trigger – Zapier Schedule → every 3 h.

2

GitHub API – Pull commits from repos tagged #exploit, #prompt-injection.

3

RSS Scraper – Track AI security blogs + CVE feeds.

4

Claude 3.5 Sonnet – Prompt:
“Summarise and cluster these updates into 3 categories: (1) Prompt Injection, (2) Data Leakage, (3) Model Jailbreak. Return JSON with top risks + severity 1-5.”

5

BigQuery – Store structured risk items with timestamp.

6

Looker Studio – Heatmap dashboard by risk type & severity.

7

Slack API – DM #sec-ops if any severity ≥4: “🚨 {risk} spotted — {source}.”

8

Fail-safe – If Claude fails, push raw links to _Manual Review sheet.

Pro tip: Add a “Hall of Shame” tab logging repeat offenders—patterns emerge across repos and blogs.

🎯 The Arsenal — Tools & Prompts

Asset

What it does

Link

GitGuardian

Monitors GitHub for secrets & security keywords.

https://gitguardian.com

Feedly AI

Curates niche feeds like “AI exploit news.”

https://feedly.com/ai

Cortex XSOAR

Automates SecOps playbooks with AI triage.

https://www.paloaltonetworks.com/cortex/xsoar

Prompt · 1-Line Risk Callout

Paste exploit → Slack-ready warning.

Write 1 sentence: “⚠ New {risk_type}: {summary}. Review immediately.”

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🕹️ Game Over

Automate one risk feed tonight—tomorrow’s SOC review will thank you.
Share your win; you could headline Issue #031.

Aaron
Automating the boring. Amplifying the brilliant.

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