Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-powered attackers are faster and more systematic than ever. But they still trust what they see. Deception technology controls what they see. 87% of security leaders say AI-related vulnerabilities grew faster than any other risk in 2025 44% year-over-year rise in exploitation of public-facing applications in 2025 300K+ AI platform credentials exposed via infostealer malware on dark web in 2025.

As I write this, we are now almost 2.5 years post acquisition of VMware by Broadcom. In that time many things have changed. The partner program has shrunk and shrunk again. The portfolio is much smaller as non-core product lines such as VDI (now Omnissa) and Carbon Black have been divested. However, none of these changes have been as impactful as integrating all remaining capabilities into the evolved VMware Cloud Foundation (VCF).

The Tines Voice of Security 2026 report found that security professionals spend 44% of their time on manual, repetitive work. A workflow engine is the software built to take that operational drag off people, deciding what happens next based on events, rules, and state. The category is shifting. The workflow engine used to live inside one system, running a narrow set of backend steps.

Most security programs have more visibility than ever. Dashboards are full. Alerts are firing. And incidents are still happening. That contradiction is not a coincidence. It reflects something most security vendors have quietly avoided saying out loud: Visibility and control are not the same thing, and for a long time, the industry has been selling one while calling it the other.

A board committee charter is more than governance paperwork; it’s the rulebook that keeps the board’s engine humming when pressure rises and complexity grows. At its best, a charter makes responsibilities visible, removes guesswork, and creates a predictable rhythm for oversight so directors and management spend less time arguing about who should do what and more time solving the right problems.

The Mini Shai-Hulud supply chain campaign has resurfaced with its largest wave yet. Over a 48-hour window on May 11-12, 2026, attackers compromised 172 unique packages across 403 malicious versions on npm and PyPI, including high-profile scopes like @tanstack, @uipath, @mistralai, and @opensearch-project.

Author: Alexander Ivanyuk, Senior Director, Technology AI is moving fast, and with that speed comes a new set of terms that many business readers are now hearing for the first time: RAG and MCP. They may sound technical, but the ideas behind them are actually practical. They describe how modern AI systems get better information, connect to business tools, and, in some cases, go beyond answering questions to carrying out work.

MSPs managing hundreds or thousands of endpoints cannot afford remote support that lives in a separate tool, on a separate license, with a separate login and a separate workflow. Every extra console adds friction between monitoring, troubleshooting, patching, and security response. That is exactly why AI remote desktop matters now: not as a buzzword, but as a way to shorten the path from issue detection to issue resolution while keeping technicians in one operational environment.

“If you want to go fast, go alone. If you want to go far, go together.” The adage for teamwork has applied to most modern military operations of the past two decades. The challenge in going together lies in the sensitivity of the information and, at the individual level, determining whose clearance and ‘need to know’ align with yours.

In Ancient Rome, the military had a daily “watchword” that soldiers used to enter the camp. An official would inscribe the watchword on clay tablets, which were distributed throughout the various military units. If a tablet wasn’t returned, they swiftly tracked it down and punished the soldier who had failed to return it.