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About the startup
Scanity scans codebases to find security vulnerabilities in code. Nowadays, with AI coding so fast, there are so many internal bugs and vulnerabilities that get missed. We have seamless integration with GitHub Actions, checking each PR before it merges and automatically providing suggested fixes. Drop into any repository, run a full scan, and fix everything you find. We use containerized test units for each finding to verify the issue. So there is no chance of AI hallucination.
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Explore expertise in Security & Privacy
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Brian HonanIrish cybersecurity pro, author, speaker, and commentator. |
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Media about Security & Privacy
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System MalfunctionNewsletter · Hessie Jones |
Incrementally BetterNewsletter · Stephan Geering |
Dumping ground for my takesNewsletter · Gateklons |
Founder stories from Security & Privacy startups
See all →Retold founder accounts from startups in the same category, each linked to the original.
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Huntress: Three Former NSA Operators, a "Cute Idea," and Enterprise-Grade Security Sold Through the Back Door of Small Business ITHuntress was founded in 2015 by Kyle Hanslovan, Chris Bisnett and John Ferrell, former cyber operators at the National Security Agency. A prototype that hunted for the footholds attackers use to stay hidden flagged every |
Abnormal Security: The Ad-Tech Founders Who Didn't Know What a "SOC" Was and Built an Email Security Giant AnywayAbnormal Security was founded in 2018 by Evan Reiser and Sanjay Jeyakumar, veterans of TellApart, an ad-targeting startup Twitter bought in 2015. Leaving Twitter, they first imagined a broad AI platform, then asked secur |
Infisical: Three Cornell Friends, a Visa Deadline and the Advice That Made Them Open SourceInfisical was founded in 2022 by Cornell classmates Vlad Matsiiako, Tony Dang and Maidul Islam, who had worked at companies such as AWS and Figma and kept running into the pain of managing application secrets. They enter |
Doppler: How a Failed Crypto Side Project at Uber Turned Into a Secrets Management CompanyDoppler began in 2018 as Brian Vallelunga's night-time side project while he worked at Uber, a crypto machine learning marketplace that went nowhere. During a trip to Mexico he realized the recurring pain he kept hitting |
Browse Security & Privacy categories
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