Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

SaaS uptime doesn’t guarantee you can recover fast or restore the collaboration context you need. The Shared Responsibility model/Limited Liability model gap shows up as money lost through rework, downtime, compliance drag, and trust friction. It’s usually driven by short retention, missing metadata after exports or migrations, untested restores and recovery copies that are not separated from production admins.

When an NHI is compromised, who do you call? GitGuardian NHI ownership eliminates the guessing game with automatic accountability.

Phone scams are nothing new, but a recent report from National Trading Standards highlights a shift in how they work.

Most organizations need both a cyber-focused TPRM platform and a compliance-focused TPRM platform, but it can be difficult to see where one tool ends and the other begins. If you're currently evaluating TPRM platforms, this guide clarifies the differences between the two.

There’s no way to stop the clock in cybersecurity for InfoSec teams, but you can find ways to manufacture a better way to spend their time. Tiering does just that, prioritizing your team’s most finite resource. But to start, you need better data, and most importantly, better logic to redefine how you work.

International travel comes with amazing sights, cultural experiences, and local delicacies. However, most travelers know that it comes with differing economies that impact a money’s value and various currencies. When people need cash, they have to translate the money in their wallets to the local currency, which means different coins and bills. Depending on the exchange rate, the currency’s value can change as the person moves from one country to another.

Today, we published the 2026 Cato CTRL Threat Report, which is the second annual threat report on AI security from Cato CTRL (the Cato Networks threat intelligence team). In 2025, Cato CTRL uncovered a decisive shift in the AI threat landscape. Threat actors are no longer just exploiting AI systems. They are exploiting AI trust, workflows, and capabilities themselves.

Your board wants AI. Your developers are building with it. Your budget committee is asking for an ROI timeline. But as CISO, you're the one who has to answer when the inevitable question comes up: "How do we know this is secure?" If you're like most security leaders, you're caught between two impossible positions. Say yes to AI initiatives without proper security controls, and you're responsible when something goes wrong.

Hiring has never been easy. But in the last year, it’s taken on an entirely new level of complexity. Fake candidates have become one of the most urgent problems facing HR, talent, and InfoSec teams alike. Today’s recruiters are flooded with AI-generated resumes that are nearly impossible to distinguish from legitimate candidates. When fake candidates make it to interviews, the tactics escalate with deepfakes used to impersonate people and proxy stand-ins for technical assessments.

Tool proliferation is compounding. Alerts are multiplying faster than teams can triage them. Visibility gaps are hiding real threats. And security teams are stuck babysitting archaic security infrastructure, rather than detecting and stopping threats. Organizations across gaming, fintech, and retail are feeling the weight of traditional, on-premises SIEMs.