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A Conversation With Arshan Dabirsiaghi

2026-03-13 Science & Technology
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Unsupervised Learning
Unsupervised Learning
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Check out Pixee here: https://ul.live/pixee_yt In this episode of Unsupervised Learning, we speak to Arshan Dabirsiaghi, co-founder of Pixee. An AI-powered product security engineer designed to help developers triage and fix code vulnerabilities. Learn how Pixee acts as a "resolution center" that integrates with existing scanners to automatically burn down security backlogs through manageable, targeted pull requests. What we talk about: The real AppSec bottleneck: How the industry has plenty of tools to find vulnerabilities, but struggles with the difficult process of triaging and fixing them. Building an AI security engineer: The genesis of Pixee as a "resolution center" that focuses exclusively on automating the triage and remediation steps. Smarter triage with exploit verification: How Pixee filters out the high volume of false positives by fuzzing code and deterministically verifying exploits instead of relying solely on AI reasoning. A vendor-agnostic approach: Why Pixee chooses to integrate with existing security scanners rather than building its own, saving companies from ripping out their current infrastructure. Burning down massive backlogs: How Pixee's "campaign" feature slowly and safely fixes thousands of old vulnerabilities by issuing small, digestible pull requests over time. 00:00 - Introduction and the Problem 01:53 - Background at Contrast Security 04:10 - Lessons Learned and Triage 11:27 - The Lifecycle and Gathering Context 13:44 - Adding Business Context 15:18 - Integrating with Existing Scanners 16:16 - Pixee's Offerings and Roadmap 19:39 - Deploying Pixee at Scale 22:59 - Discovering Existing Security Controls 23:27 - Guardrails and Remediation Campaigns 27:27 - Where to Find Pixee Subscribe to the newsletter at: https://danielmiessler.com/subscribe Join the UL community at: https://danielmiessler.com/upgrade Follow on X: https://x.com/danielmiessler Follow on LinkedIn: https://www.linkedin.com/in/danielmiessler/

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