Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Hats off to the great work the community and industry has done regarding the “ToolShell” attack against Microsoft’s On-Premise SharePoint servers. The goal of this article is to build on that great work and help Sumo Logic customers with on-prem SharePoint servers investigate and identify evidence within their environments.

Security teams often find themselves having to put out the immediate fires in front of them, but this comes at the expense of implementing a more methodical risk reduction strategy. Attack surfaces are expanding, and new risks emerge with new tech. Modern security operations center (SOC) teams are drowning in alerts, stretched thin by talent shortages, and racing to stay ahead of increasingly sophisticated adversaries.

It’s also its greatest defense The biggest threat in our rapidly evolving cybersecurity landscape is artificial intelligence (AI).1 It’s also our greatest defense. Cybersecurity is a high-stakes game where everything is on the line and decisions have to be made fast. For years, cybersecurity strategy has been about increasing visibility to make informed decisions from vast amounts of data.

If you’re building AI systems with agents, plugins, and orchestration layers and you’re only thinking about how to route traffic, you’re halfway to being pwned. Everyone’s rushing to build a Model Context Protocol (MCP) — and that’s great. But almost no one’s talking about MoCoP — the Model Control Plane, which is just as important and arguably where the riskiest stuff happens. (Also, side note, who the hell keeps making these damn acronyms so confusing?

Data lakes have evolved. Once treated as passive storage archives, they’re now becoming active components of enterprise risk management. The driver? Selective retrieval — the ability to park large data volumes in cold storage and later retrieve targeted slices for forensic or compliance needs. This shift matters. According to 2025 data from Cybersecurity Insights Group, 73% of enterprises report that SIEM ingestion costs are limiting their real-time analysis capacity.