Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

MSPs, Cyber Resilience, & the Human Side of Security w/James McMillan - The 443 Pod - Episode 370

Marc Laliberte and Corey Nachreiner recorded a special episode from WatchGuard’s EMEA Partner Conference in Dubrovnik, Croatia, featuring James McMillan, CTO of Redinet Limited. They discussed the evolving cybersecurity landscape for MSPs and businesses across Europe. James shares insights from his journey in IT and cybersecurity, the growing challenges organizations face as threats become more sophisticated, and why cyber resilience requires more than just technology.

The GitGuardian Secret Detection Engine Just Got 43X Faster Thanks To Rust

While not a new feature, the GitGuardian team has been hard at work making updates to our TokenScanner, the underlying engine that powers GitGuardian's secret scanning ability. This is great news for folks dealing with very large repos and legacy platforms that thousands of developers have touched over the years. Scanning millions of files, attachments, commits, and anywhere else secrets might be hiding takes minutes. Historical scans across petabytes of information, which used to take days, now take less than an hour. What used to take hours takes a few short minutes.

Does the rise of AI mean human-led SOCs are obsolete? With Dr. Adeel Shaikh Muhammad [322]

Dr. Adeel Shaikh Muhammad, a cybersecurity strategist and global speaker with over 16 years of experience across information security, networks, and systems. Adeel brings a practical perspective on how organizations can adapt to evolving cyber threats and the growing role of AI in cybersecurity.

Workshop: Analyzing Real Malware with Claude Code and LimaCharlie

In this hands-on workshop we will analyze an unknown binary, quickly extract indicators, and determine the binary’s core functionality. We'll give Claude the LCRE (LimaCharlie Reverse Engineering) tool to accelerate analysis and interpretation by identifying configuration details, key behaviors, and any additional indicators useful for rule building. We'll use this information to craft detection rules for this sample.