Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Meet Exabeam Sherpa: The AI Backbone of Our NextGeneration Partner Experience

Today’s partners don’t need more portals, more PDFs, or more one‑time training sessions. They need momentum. That’s why we built Exabeam Sherpa, an AI‑powered, always‑on virtual Channel Account Manager (CAM) designed to help partners ramp faster, sell smarter, and scale performance as their teams grow.

AI Access Without Add-Ons or Limits

Artificial intelligence (AI) within security operations has shifted from basic summarization to fully agentic systems that participate in threat detection, investigation, and response (TDIR). As these capabilities evolve, many vendors restrict access through add-ons, credits, or gated previews. The result is predictable: Analysts use AI less, trust it less, and see less value from it. Agentic AI capabilities should be available the moment analysts need it, not controlled through tiers or metering.

Exabeam Agent Behavior Analytics: First-of-Its-Kind Behavioral Detections for AI Agents

AI agents are moving into real workflows faster than most teams expected. According to PwC’s 2025 AI Agent Survey, 79% of companies are already adopting AI agents, and 88% of executives expect to increase AI-related budgets in the next year. These agents are now handling research, summarization, customer engagement, and operational tasks at a scale humans can’t match.

AI Agents Are The New Detection Problem Nobody Designed For

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.

Decoding the 2025 MITRE ATT&CK Evals: A Call for Clarity and a Guide for Analysts

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.

Exabeam Introduces First Connected System for AI Agent Behavior Analytics and AI Security Posture Insight

Industry leadership expanded with connected capabilities that not only uncover AI agent activity, but centralize investigation, and deliver measurable AI security posture insights.

Model Context Protocol Server: The Universal Remote for AI Agents

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.