Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

Choosing the right security information and event management (SIEM) solution is one of the most critical decisions you’ll make for your security program. As you evaluate your options, the central question is whether to stick with a traditional, on-premises SIEM or embrace a modern, cloud-native platform. This blog provides a direct comparison of the pros and cons of each, helping you make the best strategic decision for your organization’s needs.

You already know that a security information and event management (SIEM) offers crucial benefits like scalability and reduced management overhead. But how do those platform advantages translate into stopping sophisticated threats? The answer lies in moving beyond simple log collection to leveraging powerful, behavior-based analytics.