Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securely scale search, security, and observability apps on any cloud provider. We are thrilled to announce a major milestone in our commitment to security, privacy, and regulatory compliance for Elastic Cloud Serverless. Elastic Cloud Serverless has now attained a comprehensive suite of key compliance certifications across all of our available cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud (GCP).

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.

While Hamlet asked the existential question “to be or not to be,” most security teams ask an equally esoteric question that ultimately defines their ability to manage alerting and detection: “to deploy on-prem or in the cloud?” When adopting a security information and event management (SIEM) solution, organizations must make a foundational decision around whether to deploy the solution on-premises or in the cloud.

Most people know the old fairy tale of the boy who cried wolf. Every day, the little shepherd would scream from the top of his hill, “A wolf is chasing the sheep!” While villagers initially responded to the alarm, they soon realized that the boy was lying to them. In the end, when a wolf truly did chase the sheep, no one heeded the boy’s cry.

Security operations teams are under sustained pressure. Alert volumes continue to rise, environments grow more distributed, and experienced analysts remain scarce. Much of the industry conversation around AI focuses on autonomy and fully automated response. That focus skips the most reliable efficiency gains available right now.

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.