이 에피소드에 관해
Security problems aren't changing very much even though security teams are. We catch up on the implications of the Claude Code source leak, the very human lessons from the axios NPM compromise, and what secure design looks like when it involves agents, humans, or both.
AppSec has always celebrated interesting and impactful vulns. And LLMs are now a favored tool for finding flaws. We shouldn't forget the success and effectiveness of fuzzers like OSS-Fuzz, which has improved security for over 1,000 projects and found over 50,000 bugs. But we can't ignore the ease of prompting an agent to go find -- and exploit -- a vuln when the UX and overhead of doing so is hardly more than writing some markdown.
The SDLC Blind Spot: Why Breaches Start with Identity, Not Code
Developers have access to source code, CI/CD pipelines, and cloud infrastructure — and attackers know it. Target lost 860GB of source code through a single compromised credential. Recruitment fraud campaigns have pivoted from a compromised developer to cloud admin in under 10 minutes. As agents join human developers, contractors, and service accounts in the SDLC, the attack surface is expanding faster than static security tools can track. Security teams need real-time visibility beyond code and into who has access and what they're actually doing.
This segment is sponsored by Apiiro. To lean more, visit https://securityweekly.com/apiirorsac.
How AI-Driven Development is Reshaping the Application Risk Landscape
Agent coding assistants are accelerating software development, generating more code and more change than security teams were built to handle. In this interview, Idan Plotnik discusses how AI-driven development is reshaping the application risk landscape and why traditional vulnerability management models can't keep up.
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Show Notes: https://securityweekly.com/asw-377
