Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The recent developments surrounding vulnerabilities in major AI repositories like Hugging Face serve as a critical wake-up call for the cybersecurity community. As we accelerate toward an agentic future, the platforms we rely on for innovation are increasingly becoming the primary vectors for systemic risk.

When it comes to outbound email security, every organization operates under different operational constraints and security requirements. Some security teams prioritize in-app nudges and coaching to catch risky behavior the moment an email is drafted. Others want to avoid friction, particularly for executives, sales teams or mobile-first employees who rarely interact with desktop add-ins.

Static and dynamic app testing are cornerstones for any comprehensive AppSec program, yet they rarely rise up to the challenges of fully securing modern software. Discover why secrets are one of their critical blind spots.

Top tips is a weekly column where we highlight what's trending in the tech world and share practical ways to navigate these shifts. This week, we're discussing why it's time to think twice before scanning your next QR code.

Managing IP addresses across a growing network means tracking a lot of moving parts at once, including: sites, clusters, subnets, VLANs, leases, and DNS records. Add in subnets imported from other tools, addresses that were assigned manually years ago, and the occasional reservation nobody remembers creating, and it's easy for even a well-run network to lose a clear picture of what's actually happening across its address space.

When the IT specialist at a company of 20 to 30 people left, the responsibility landed with an employee who had little technical experience. “I’m not really an IT person,” they wrote on Reddit. “I have zero coding skills.” Yet over a single weekend, they vibe-coded an entire IT support system from scratch, in an effort to streamline a process they found cumbersome. Until then, employees had submitted tickets through a Google Form, which sent their answers to a spreadsheet.

TL;DR: AI security testing solutions find vulnerabilities in code, dependencies, and AI components across the dev pipeline.

For a long time, compliance meant paperwork. Fill out the right forms, pass the annual audit, file it away. Done. Now, your development pipeline is generating code at a pace no human team can review manually, your supply chain runs three layers deep into open-source packages and AI plugins you didn’t choose, and regulators are watching in real time. The old approach doesn’t just underperform; it creates a false sense of security.