Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For two decades, VMware was the default answer for virtualization. It worked, it was well supported, and the commercial terms were predictable enough that infrastructure strategy could largely ignore the underlying platform and focus on workloads. Broadcom’s acquisition ended that. Perpetual licences are gone. Product catalogues have collapsed from 168 offerings into four mandatory bundles. Per-core minimums have created fixed costs for capacity many organisations don’t use.

You already know the immense value of open-source Zeek. It provides the absolute gold standard of network evidence, giving you the deep visibility required to defend your organization. You have the right strategic foundation, but the operational workload of managing a do-it-yourself (DIY) deployment at scale is likely draining your energy.

MSPs are managing more assets than ever before and often without a complete picture of what’s actually in their clients’ environments. Every unmanaged device, every unknown application, every blind spot increases exposure and limits how quickly teams can respond. The reality is simple: Asset visibility is the foundation of cybersecurity, resilience and growth. But visibility without action leaves MSPs stuck reacting instead of proactively protecting.

Every day, financial institutions move trillions of dollars on-chain. From tokenizing money market funds to settling trades on private blockchains, financial institutions are swiftly bringing capital on-chain. But the infrastructure for compliance hasn't kept up. It’s not uncommon for investors to verify for KYC multiple times just to trade across chains.

A recent open letter from the UK government on AI-driven cyber threats highlights a clear shift in the threat landscape. Cyberattacks are no longer constrained in the same way by human expertise, as advanced AI models can now help identify vulnerabilities, generate exploit code, and increase the speed and scale of attacks.

Gartner named Zenity the company to beat in the AI Agent Governance category in its AI Vendor Race: Zenity Is the Company to Beat in AI Agent Governance report as of 17 April 2026. The evaluation covered technical capabilities, customer implementations, business model, and ecosystem strength. That methodology matters because for us, it means the recognition reflects what the platform actually does in production, not just how well a demo lands.

A password manager should make everyday tasks feel simple.

Discover the top threat actors to watch in May 2026, including OilRig, Cozy Bear, Lazarus, and Charming Kitten. Learn how leading cyber threat groups operate, who they target, and how organisations can stay protected.

If your first instinct when connecting an LLM to enterprise systems via MCP is to strip out all personally identifiable information, you’re building a system that is useless. The “block all PII” approach sounds responsible. It checks a compliance box. But it fundamentally misunderstands what MCP-based AI systems do and why they need data in the first place. The real engineering challenge is not blocking data.

Security operators often struggle with the escalating friction that naturally occurs in their detection and response (D&R) workflow. Detections fire in one tool. Investigations happen in another. Case tracking lives in a third. For MSSPs managing dozens of client environments, fragmentation compounds quickly. Analyst time bleeds into context-switching. SLAs are hard to track. When something goes wrong, reconstructing what happened across multiple platforms is painful.