『Absolute AppSec』のカバーアート

Absolute AppSec

Absolute AppSec

著者: Ken Johnson and Seth Law
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このコンテンツについて

A weekly podcast of all things application security related. Hosted by Ken Johnson and Seth Law.
エピソード
  • Episode 292 - Manual Source Code Review, AI Slop in Bug Bounties, AppSec Authorization
    2025/07/15
    Seth and Ken are _back_ to talk through some recent experiences and news across the industry. To start the episode, Seth highlights the edge cases uncovered during manual code review that require context to understand and identify. Inspired by recent a recent post on AI Slop in the curl bug bounty program, the duo addresses the increase of slop across bug bounty reports and why it happens. Finally, a discussion on McDonald's recent authorization flaw that potentially exposed millions of job applicant's data.
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  • Episode 291 - w/ Sean Varga - OWASP Top 10 of AppSec Sales
    2025/07/08
    Sean Varga, current regional sales manager with noted ASPM company Cycode joins Ken (@cktricky) and Seth (@sethlaw) to discuss the dawning realization organizations are having that they need AppSec experience and tech help to accompany their swelling numbers of developers. Sean's introduces "the OWASP Top 10 for AppSec Sales" to the community Before joining Cycode, Sean worked as Large Enterprise Sales Manager at Apiiro and Enterprise Account executive at Secure Code Warrior. He's also had stints at Veracode, Quest Software, and RSA across his career. We'll get to know Sean and his journey into AppSec, as well as getting his insights on the direction he sees things going moving forward. Connect with or follow Sean on LinkedIn to see what he's up to in the meantime: https://www.linkedin.com/in/sean-varga/
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  • Episode 290 - Authentication Fatigue, Browser AI Agents
    2025/07/01
    Ken returns after a week's hiatus to review the latest AppSec news with Seth. Specifically, the idea that authentication fatigue exists for both consumers and developers. The amount of choice to implement security controls can have unintended consequences and introduces risk that may or may not be considered. This is followed by research from SquareX that claims Browser AI Agents are riskier and easier to target than employees. This results in opinions on phishing and protections against consumer/business targeting by attackers.
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