The MLSecOps Podcast
Welcome to The MLSecOps Podcast, presented by Protect AI. Here we explore the world of machine learning security operations, a.k.a., MLSecOps. From preventing attacks to navigating new AI regulations, we'll dive into the latest developments, strategies, and best practices with industry leaders and AI experts. Sit back, relax, and learn something new with us today.
Learn more and get involved with the MLSecOps Community at https://bit.ly/MLSecOps.
The MLSecOps Podcast
ReDoS Vulnerability Reports: Security Relevance vs. Noisy Nuisance
In this episode, we delve into a hot topic in the bug bounty world: ReDoS (Regular Expression Denial of Service) reports. Inspired by reports submitted by the huntr AI/ML bug bounty community and an insightful blog piece by open source expert, William Woodruff (Engineering Director, Trail of Bits), this conversation explores:
- Are any ReDoS vulnerabilities worth fixing?
- Triaging and the impact of ReDoS reports on software maintainers.
- The challenges of addressing ReDoS vulnerabilities amidst developer fatigue and resource constraints.
- Analyzing the evolving trends and incentives shaping the rise of ReDoS reports in bug bounty programs, and their implications for severity assessment.
- Can LLMs be used to help with code analysis?
Tune in as we dissect the dynamics of ReDoS, offering insights into its implications for the bug hunting community and the evolving landscape of security for AI/ML.
Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard Open Source Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform