Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

The enterprise AI security market in 2026 is crowded and confusing. Vendors that built their products to use AI for cybersecurity operations now market themselves alongside vendors that built their products to secure AI systems and govern AI usage. These are fundamentally different product categories solving different problems, and conflating them leads to evaluation errors that leave organizations protected against external threats but exposed to the risks their own AI systems introduce. ‍

A cyber risk register is a centralized, continuously updated record of every cybersecurity threat, vulnerability, and scenario an organization is tracking, structured so security, risk, and executive teams can prioritize, quantify, and act on each entry. Done well, it becomes the operational backbone of the cyber GRC program, translating technical security data into the business language leadership needs to make investment decisions.

A healthcare security team rarely gets a clean warning before hipaa compliance reporting becomes real. One week it's a patient complaint about access, the next it's an OCR request for records, and the next it's a suspected breach that needs a defensible timeline, not a scramble for screenshots. In that environment, a SIEM is more than a detection tool, it's the system that turns logs, alerts, and evidence into a reporting record auditors can follow.