Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Privileged user monitoring: Visibility without trust

Operations require elevated access and organizations grant it on trust, so privileged user monitoring has to turn that trust into evidence. An authorization record shows only that the system permitted an action. Monitoring produces a reviewable account of which elevated rights each person used and when, which lets an auditor or investigator test activity without disrupting administration.

Exfiltration Vectors Compound. Your Protection Has to as Well.

AI didn't replace the old ways data leaves a company. It added new methods on top and gave insiders a way to chain them together. You only see the chain if one sensor watches humans and AI together. If you spend enough time around CISOs / data security/ insider risk practitioners who have run these program for a decade you won't hear that AI is the only thing that matters.

EU Cyber Resilience Act: Europe Just Put Your AI Agents on a 24-Hour Clock

In short, the EU Cyber Resilience Act (CRA) puts binding cybersecurity requirements on any software sold as a product in the EU, and it does not carve out AI agents. Since 11th September 2026, any company that sells software with digital elements into the EU has 24 hours from learning that a vulnerability is being exploited to file an early warning with a national CSIRT and ENISA, 72 hours to describe it, and 14 days to report what it did about it.

Microsoft' Digital Defense Report - The 443 Podcast - Episode 390

This week on the podcast, we cover a few takeaways from Microsoft's recent Digital Defense Report. Before that, we discuss the recent Citrix Netscaler zero-days that were potentially under active exploit for weeks before disclosure before reviewing an interesting a bug bounty report on a Microsoft internal tool that was exposed externally.

AI is building your software. Who's making the security decisions?

AI coding assistants are changing how software gets built. Traditional AppSec tools focus heavily on scanning the final code artifact, but as AI agents move from simple code dependencies to autonomous decision-makers and execution paths, traditional security controls enter the process too late.