Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How do we keep our Sonicwall certificates up to date as certificate lifetimes get shorter? We’re already at 200 day certs with 100 then 47 day certificates coming soon. A certificate you used to touch once every year now needs replacing up to twelve times a year. Doing this by hand is out of the question, no one has the time. Even if they did, the frequent updates is just asking for mistakes. Luckily, this can be automated using the SonicOS API.

Here is a scene every security team knows. A reverse shell opens a connection to an external address, pulls a service-account token, and starts moving against your cloud identity. Two rows below it on the same dashboard sits a payload that hit a front-end container and never executed. Both are tagged high severity. Both are competing for the same analyst’s attention at the same moment.

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SUMMARY – If you lose your.tf files, your Infrastructure as Code (IaC) stays up, but becomes entirely unmanaged.– Having a backup saves your team from weeks of manually reverse-engineering code to hit your RTO.– Your automated deployments rely entirely on the IaC—if the code vanishes, your CI/CD instantly stalls.– The Git commit history is the exact proof you need to pass strict audits like NIS2, SOC 2, and ISO 27001.– Setting up a dedicated Terraform backup means you c

CVE-2026-55957 is a missing critical step in authentication in Apache Tomcat, present when the JNDIRealm is configured to authenticate binds using GSSAPI. The vulnerability carries a CVSS v3.1 base score of 9.8 (Critical), based on network attack vector, low attack complexity, no privileges required, and no user interaction.

In March 2026, attackers from the TeamPCP group compromised Trivy (CVE-2026-33634) — a widely-deployed open-source vulnerability scanner running in thousands of CI/CD pipelines — and turned it into a credential harvester. SSH keys, Kubernetes secrets, cloud tokens — secrets accessible to any pipeline that ran a compromised version — were exposed. The attacker retained access long enough to exfiltrate newly rotated secrets before the window closed.

The biggest challenge in cybersecurity is no longer just detecting threats. It's doing so before time runs out. Artificial intelligence is no longer confined to automating isolated tasks within an attack. It is enabling threats to operate as continuous systems that can adapt, coordinate, and evolve in real time, drastically reducing the time security teams have to react. This shift is doing more than simply increasing the volume of offensive activity.

For years, the dominant threat against remote identity verification was the presentation attack: someone holding a printed photo up to a camera, wearing a mask, or playing a pre-recorded video on a phone screen. The industry responded with increasingly sophisticated anti-spoofing technology and vision-based detection models, and the standards to test their effectiveness followed. But many of today’s most sophisticated fraudsters don’t bother with the camera at all.

Most organizations already run something they call role-based access control, yet permissions keep accumulating through ad hoc approvals and unreversed role transfers. RBAC holds up only when roles are designed from business functions and least privilege, validated against effective access first, and maintained through governance tied to HR-driven lifecycle events. Without that discipline, the model drifts back into access sprawl.

If you've ever pulled an asset count from one tool and compared it to another, you've probably noticed they don't match. The discrepancy isn’t minor, either. The difference is likely to be substantial. One scanner says you have 4,200 assets. Your CMDB says 3,800. Your cloud inventory says 1,100. None of them agree, and none of them are right. That's not a data hygiene problem you can solve with a spreadsheet cleanup.