Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agents now operate as core identities in enterprise environments, authenticating, accessing data, and executing workflows at machine speed. Their flexibility and scale introduce a detection challenge traditional security models were never built to solve. Exabeam has seen this pattern before with insider threat and workload identities. AI agents accelerate the need for identity-centric detection.

The latest MITRE ATT&CK Enterprise Evaluations are out, featuring scenarios that emulate sophisticated actors like Scattered Spider and Mustang Panda. While every release of the findings is a significant event for the security community, this year’s evaluation highlights both new and recurring concerns for security professionals.

The Model Context Protocol (MCP) is emerging as a foundational interoperability layer for agentic AI, embraced by major platform providers. MCP simplifies how AI models connect to external tools and data. Think of it as a universal remote for security platforms: Instead of building fragile, one-off integrations, MCP allows AI to discover and use capabilities dynamically. For SIEM and detection providers, this shift is significant.

The widespread adoption of AI agents creates a new, unmanaged attack surface. The Exabeam January New-Scale launch directly addresses this risk, providing a layered approach to secure your AI workforce from onboarding to automated threat response.

Security teams require continuous innovation to defend against sophisticated attackers and support modern infrastructure. The January 2026 LogRhythm SIEM release delivers critical updates to your security operations, improving everything from detection and investigation to core platform stability.

At Exabeam, we’ve built our foundation on innovation in machine learning and artificial intelligence technologies that have transformed how organizations detect and respond to threats. We take pride in the rigor of our model security: encrypted data, tightly controlled access, continuous validation, and relentless red teaming. But true security isn’t about reaching a finish line; it’s about anticipating what’s next.

As technology and cyberthreats continue to evolve, businesses must adapt their IT infrastructure and security strategies to stay ahead of the curve. At the heart of this evolution is security information and event management (SIEM). However, if you’re still relying on a traditional SIEM, you’re likely struggling to keep up.

As you continue to embrace cloud-native security information and event management (SIEM) solutions, it’s important to understand the various hosting models available and select the one that best fits your organization’s unique needs. We’ll explore the pros and cons of different hosting models, including public cloud, private cloud, and hybrid cloud hosting. Your choice of hosting model plays an essential role in how your cloud-native SIEM solution is deployed, managed, and maintained.