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How LLMs are rewriting application security: less false positives, faster triage, and real-world founder playbooks. Founders are sprinting on AI—attackers are too. Traditional security tools drown teams in alerts and miss the real threats. In this episode, Almanax founder & CEO Francesco Piccoli breaks down AI-native application security: how LLMs detect logic bugs legacy scanners miss, cut up to 90% of noise, and triage vulnerabilities at the pace you ship. We cover where “shift-left” falls short, how to operationalize low-friction code scanning in GitHub, and what legal/compliance leaders expect before they’ll sign your deal. If you’re building or buying AI-accelerated software as a founder, CTO, or security lead, this is the playbook. Chapters 00:00 AI-Native Security: Why It Matters Now 01:19 Francesco’s Path to AppSec 05:26 Why Legacy Tools Miss Real Bugs 10:48 The Cat-and-Mouse Reality of Cyber 15:46 Legal & Compliance: What Founders Owe 20:34 Founder Best Practices (Week-1 Checklist) 28:46 Cutting 90% of Alert Noise 36:32 Making Security Usable for Devs 39:45 When Breaches Happen: First Calls 41:53 Wrap-Up + Next Steps Francesco Piccoli Founder and CEO of Almanax, joins us to unpack how his team is building AI-native systems to catch 5x more bugs while cutting 90% of the noise. We talk about the future of application security, why shift-left isn’t enough anymore, and how triaging vulnerabilities at scale requires a new kind of intelligence. Who should listen Seed–Series B founders shipping fast on AI-native stacks Eng leaders drowning in SAST/DAST false positives Security & compliance owners prepping for SOC 2 / ISO 27001 Music Credit: "Neptuno" - Phondupe (Album: Onykia) startupsdecoded.com