Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security operations centers (SOCs) are changing rapidly. Automation is playing a key role in how SOCs make decisions and proceed with investigations. This change has raised an important question: ‘If systems start acting on their own, why would human analysts be used?’ Agentic SOC is not going to remove people from security operations. It is about changing the way work is done and where analysts can apply their judgment.

A new malware-as-a-service (MaaS) kit called “Stanley” is offering users guaranteed publication in the Chrome Web Store, bypassing Google’s security verification process, according to researchers at Varonis. “For $2,000 to $6,000, Stanley provides a turnkey website-spoofing operation disguised as a Chrome extension, with its premium tier promising guaranteed publication on the Chrome Web Store,” Varonis says.

The world of AI is still advancing rapidly, but so are the threats. Wherever you get your news, Clawdbot, or is it Moltbot, or is it now called OpenClaw(?) is everywhere lately. You can’t avoid talk of this AI personal assistant. It’s actually now called OpenClaw after some naming drama, and at the time of writing has 166k followers on GitHub. The repository also has an alarming number of forks, issues, and pull requests.

Nearly 70% of online purchases now happen on mobile, yet PCI scoping decisions are still often made as if mobile is just a smaller browser. It is not. A native in-app payment flow and a mobile web checkout trigger materially different obligations under PCI DSS 4.0.1. In one case, risk concentrates inside the application runtime through SDKs, platform storage, and release controls.

Very few people know this, but passing a PCI audit has very little to do with having defensible evidence. Your processor passed its last PCI assessment. Three months later, a merchant using your payment forms gets hit with a Magecart attack. Card brands start asking: What monitoring did you have on that checkout page? When did you detect the compromise? What evidence can you provide? That’s when the gap becomes obvious.

For many organizations, the challenge isn't a lack of security tools, it’s the overwhelming "noise" those tools create. When your team is sifting through 12 million events per day, they are not doing anything else and are likely having tremendous difficulty finding threats. LevelBlue Managed Detection and Response (MDR) is an industry-leading service operated by the world’s largest pure-play Managed Security Services Provider (MSS) that will change that narrative.

Enterprise AI adoption is accelerating, but it isn’t unfolding as a steady, industry-wide wave. It’s becoming increasingly polarized. A widening gap is emerging between AI early adopters pushing aggressive rollout and experimentation, and organizations that remain hesitant to embrace these technologies. That divide matters for more than innovation velocity. It changes the security equation.

The return on your SaaS management platform investment is very dependent on the quality of your rollout.

You're paying Google $9.99/month for storage, Microsoft another $6.99, maybe Dropbox on top of that. After five years, you've spent $1,000+ on cloud storage you don't own. Lifetime cloud storage works differently: pay once ($200-600 for 1-5TB), use it as long as the company operates. No recurring charges. No price hikes. The catch "lifetime" means the company's lifetime, not yours. Some providers have shut down. Others changed terms or degraded service.

What is a Cloud Workload Protection Platform (CWPP)? A CWPP is a security tool that protects running workloads—containers, virtual machines, and serverless functions—across their entire lifecycle. For Kubernetes environments, this means protecting pods and containers from build time through deployment and into production runtime, covering threats like cryptomining, reverse shells, and lateral movement.