CyberGuard
60% of startups leak API keys on GitHub. Find & Auto fix.
CyberGuard launched on March 18, 2026.
What it does
60% of startups leak API keys on GitHub. Most don’t find out until it’s exploited. CyberGuard changes that. Free repo scan finds exposed secrets, keys, tokens, and passwords in seconds. Paid tier unlocks: Detailed fix recommendations Runtime secret injection (noenv risks) Real-time anomaly detection (BERT-powered) Team access & alerts No more vibe-coding disasters. No exposed secrets in rushed pushes. No surprise breaches costing thousands.
Does a similar job
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HasMySecretLeaked2023 · gitguardian.com · ▲160Check if your secrets and API keys have leaked on GitHub.

API RadarJan 2026 · apiradar.live · ▲77We built API Radar to track exposed API keys from OpenAI, Claude, Gemini, and other major providers—in real time—from public GitHub repositories. Why? Leaked AI keys are everywhere. They power bots, cost companies thousands, and even expose user data. But no one had a clean dashboard to see the leaks as they happen — until now. What you’ll find: Full redacted + raw API key leaks Real-time feed of exposed repos Leaderboards by author, repo, and provider Filtering by provider (OpenAI, Claude, Gemini, etc.) Timeline of key exposure trends Built for security researchers, devs, and AI companies…
KeyLeak Detector – Scan websites for exposed API keys and secretsNov 2025 · github.com · ▲30I built this after seeing multiple teams accidentally ship API keys in their frontend code. The problem: Modern web development moves fast. You're vibe-coding, shipping features, and suddenly your AWS keys are sitting in a tag visible to anyone who opens DevTools. I've personally witnessed this happen to at least 3-4 production apps in the past year alone. KeyLeak Detector runs through your site (headless browser + network interception) and checks for 50+ types of leaked secrets: AWS/Google keys, Stripe tokens, database connection strings, LLM API keys (OpenAI, Claude, etc.), JWT…

CLI that spots fake GitHub stars, risky dependencies and licence traps2025 · github.com · ▲122When I came across a study that traced 4.5 million fake GitHub stars, it confirmed a suspicion I’d had for a while: stars are noisy. The issue is they’re visible, they’re persuasive, and they still shape hiring decisions, VC term sheets, and dependency choices—but they say very little about actual quality. I wrote StarGuard to put that number in perspective based on my own methodology inspired with what they did and to fold a broader supply-chain check into one command-line run. It starts with the simplest raw input: every starred_at timestamp GitHub will give. It applies a…
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