Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Since 26 June 2026, an unattributed threat actor has published at least 292 deceptive brand-impersonation GitHub pages and.github repositories that mimic legitimate software and trusted security tooling vendors, including a fake Arctic Wolf GitHub page. Each repository hosts a marketing-styled README document, with a concealed download link that routes victims to a malicious “secure download” page.

Firewall configuration is the set of rules, policies, and settings that define how a firewall behaves. Without configuration, a firewall is hardware and software waiting for instructions. With configuration, it becomes a control that determines what traffic is permitted, what is blocked, and what gets inspected before a decision is made. Get the configuration right, and the firewall does its job. Let it drift, and you have the appearance of protection without the substance of it. This is not an edge case.

Mergers and acquisitions (M&A) concentrate risk into a narrow window. The moment a deal is announced, employees with access to proprietary research, source code, and unreleased product plans face pressure and opportunity at the same time. Some update their resumes. A smaller number decide to take something with them: a research file, a pricing model, or a customer list before the transition is final. For compliance and security teams, the challenge goes beyond stopping data exfiltration.

A practical comparison of the leading OT backup and recovery platforms for plant security leads, OT engineers, industrial CISOs and the system integrators who serve them, plus the OT security platforms most often evaluated alongside them.

For years, cybersecurity has largely focused on strengthening technology. Organizations invested in better endpoint protection, stronger identity controls, advanced threat detection, and AI-powered security operations. Those investments remain essential, but they're no longer enough. The next major cybersecurity challenge isn't simply keeping pace with attackers. It's keeping pace with how people work.

Organizations assess and manage AI-related risks by establishing a cross-functional governance framework, mapping risks based on impact and financial likelihood, and instituting continuous monitoring that connects AI asset discovery to risk quantification, compliance, and enforcement. The most effective programs treat AI risk management not as a one-time assessment but as a continuous, data-driven discipline that evolves alongside the AI systems it governs. ‍

Co-founder and COO Two credible engineering organizations have now documented internal agentic triage builds. The results validate the architecture. The build details explain why service providers need a different way to get it.