Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For years, identity has been treated as a supporting function, authenticating users, gating access, and satisfying audit requirements. Important, but rarely foundational. That era is over. In modern enterprises, identity has become the infrastructure on which critical systems depend. Every workload, certificate, API, automated process, and AI-driven action must rely on identity to operate safely and predictably. When identity fails, those systems become exposed—and often stop behaving as expected.

AI is now widely used across security, automation, and digital infrastructure. With that shift, risk is no longer limited to technical failures – it also includes trust, data misuse, and system authenticity. This article explains what the NIST AI Risk Management Framework is, how AI risk affects security, the key risk categories, and how cybersecurity infrastructure supports trustworthy AI systems.

There's a beautiful moment happening right now, and by "beautiful" I mean "horrifying in that can't-look-away-from-the-car-crash sense”. People are giving OpenClaw access to, well, pretty much their entire lives. The results are exactly what you'd expect… One user gave his agent $500 and watched it create 25 trading strategies, generate 3,000+ reports, build 10 new algorithms, scan every post on X, and trade 24/7 non-stop. The result? It lost everything. Not most of it. Everything.

Atlassian’s Backup and Restore feature has recently transitioned from Open Beta (Atlassian BRIE backup) to General Availability (GA), marking an important step forward in SaaS data protection. The solution introduces native app-level backups for Jira and provides organizations with a built-in mechanism to respond to customer-owned disasters such as accidental deletions or configuration errors.

Vulnerability remediation is an important way to keep systems safe from possible attacks in a world where cybersecurity is always changing. Since cyberattacks are becoming more common, finding and fixing system flaws is no longer a choice; it's a must. One security hole that isn't fixed can lead to large-scale data breaches that cost businesses millions of dollars.

DNS and DHCP services in an organization’s network experience constant fluctuations in query spikes, lease requests, and client connections over time. Network administrators must continuously monitor these patterns to ensure service stability and availability. However, in fast-paced and growing networks, a proactive approach is far more effective than a reactive one. This allows teams to identify and resolve service-related issues before they lead to network disruptions or IP exhaustion.

Major software composition analysis (SCA) providers include Mend, Black Duck (Synopsys), and Veracode. They offer solutions to find, manage, and fix vulnerabilities and license issues in open-source components, with options ranging from developer-focused tools to enterprise-grade platforms with SBOM generation and deep compliance features.

Patching cadence is a critical component of maintaining an organization’s cybersecurity posture. It refers not just to whether patches are applied, but how quickly and consistently vulnerabilities are addressed across systems and software. A regular, timely patching process reduces the window of exposure to known vulnerabilities, limiting opportunities for exploitation and strengthening overall vulnerability management.