Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Remember that annoying ‘paperclip’ in Microsoft Word 97? The one that was always trying to help you…Fast forward nearly 30 years and we now have AI. In the race to adopt artificial intelligence, businesses are embedding AI systems into their daily operations, streamlining workflows, enhancing productivity, and centralizing knowledge. But what happens when that very system becomes an attacker’s most valuable asset?

Hardware inventory management is the systematic practice of identifying, tracking, and maintaining an accurate record of all physical IT assets, such as laptops, servers, printers, and network devices, throughout their entire lifecycle, from acquisition to retirement.

The theoretical phase of the Cybersecurity Maturity Model Certification (CMMC) is over. As of November 10, the “Enforcement Era” has officially begun with the activation of Phase 1. For Department of Defense (DoD) contractors, compliance is no longer a future goal—it is a present-day barrier to entry. If you want to bid, you must have your house in order.

The Shai-Hulud npm supply chain incident was a wake-up call for the industry. The attack involved malicious packages containing hidden exfiltration scripts that targeted developers’ machines and CI environments. At Snyk, we watched this incident unfold in real-time, observing how quickly attackers can pivot from one compromised credential to a full-scale ecosystem infection.

Your morning scan returns 3,000 CVEs. Maybe a dozen actually matter. But which dozen? You’re running Trivy for image scanning, Falco for runtime detection, kube-bench for compliance, and Calico for network policies. Each tool generates alerts in its own format, its own dashboard, with its own context. When an incident happens, connecting a vulnerable image to a misconfigured RBAC role to a suspicious process requires manual work that doesn’t scale past a handful of clusters.

Your ASPM tool flagged 3,400 vulnerabilities across your Kubernetes clusters last night. Your team can remediate maybe 50 this quarter. Which 50 actually matter? Here’s the uncomfortable truth most ASPM vendors won’t tell you: their tools were designed for traditional applications running on traditional servers. They assume your code deploys once and sits there. Kubernetes breaks every one of those assumptions. Pods spin up and die constantly. Deployments change multiple times daily.

Traditional cybersecurity operates on a simple premise: Keep cyberthreats out by building higher walls, adding more locks and deploying additional firewalls. But what happens when prevention fails? What happens when ransomware doesn't just breach your perimeter but spreads across your redundant systems, turning your backup infrastructure into a liability? The average ransomware claim now exceeds $1.18 million. For many organizations, that's not just a financial hit but a threat to their survival.

Researchers at Gen warn that a phishing campaign is attempting to trick users into linking malicious devices to their WhatsApp accounts. The attack begins with an unsolicited message stating, “Hey, I just found your photo!” along with a link to a spoofed Facebook login page. Instead of trying to steal users’ Facebook credentials, however, the attackers are attempting to gain access to victims’ WhatsApp accounts.

Email has been the backbone of business communication for decades and as such, it remains the attacker’s favorite doorway into an organization. Phishing, Business Email Compromise (BEC) and supply-chain attacks continue to rise, with adversaries leveraging AI and compromised accounts to bypass legacy defenses. This presents many challenges for CISOs, IT Directors and SOC teams alike: it seems pretty clear that threats are evolving faster than traditional email security can keep up.

Savanti is Cato Networks’ internal, agentic AI assistant that blends knowledge from Slack, Confluence, Git, and Jira to provide instant, context-rich answers. Savanti routes each query through an adaptive reasoning workflow by choosing between direct, deep, or multi-step reasoning based on the question’s complexity. Every answer is grounded in real internal context, backed by citations, and evaluated for confidence before being delivered.