Smarter on what data? Why Mythos and MCP don't fix missing evidence - and what federated analytics, durable history, and normalization require for investigation-grade AI in the SOC.
Centralized SIEMs move data to compute; federated analytics moves compute to data. Broader coverage, less operational overhead, and a unified layer ready for AI-driven security operations.
A field guide to RSA 2026 — agentic AI, next-gen SIEM, single pane of glass, and what nobody will say out loud about visibility, cost, and detection completeness.
AI agents are changing the operating system for SecOps — where specialized agents handle detection, triage, and response across a federated Security Analytics Mesh, reasoning across all your data without requiring centralized storage.
How attackers use blockchain-hosted payloads and fake CAPTCHA lures to bypass traditional defenses and steal cryptocurrency wallets, browser credentials, and messaging app sessions
Why AI in security operations fails without the right foundation, and what it takes to build a SOC where intelligence compounds across detection, triage, and response
Reflections on momentum, product-market fit, and what it takes to build the operating system for AI-native security operations
A veteran incident response manager shares how security data gaps extend breach recovery from days to weeks, and why data maturity is the foundation of true incident preparedness
How security data is growing faster than traditional analytics models can handle, and why federated mesh architectures represent the next evolution beyond centralized SIEMs
Why wait for queries to finish? Simply stream results as they get computed in a long running query.
Exploring how AI has been constrained by legacy security architectures and why a new foundation is needed for transformative security outcomes
Learn how modern data systems overcome the challenges of operating at massive scale using probabilistic techniques like Bloom filters & HyperLogLog
Learn how log search engines like Apache Lucene & tantivy work
