Query Every Cloud at Once, Without Moving a Byte of Data
Vega's federated analytics engine and in-place reverse indexing now span AWS, Azure, GCP, and every major legacy SIEM - one query, normalized results, zero cross-cloud data movement.
Learn how we revolutionize SecOps.
Ping, Payload, PowerShell: Active Exploitation of CVE-2026-22679 in Weaver E-cology
The Vega Threat Research team identified active exploitation of CVE-2026-22679, a critical unauthenticated RCE in Weaver E-cology, 14 days before public in-the-wild reporting. This report details real-world exploitation and post-compromise behavior.
Fix the Alert Before It Fires
Most SOC investment goes toward making investigations faster. But a huge share of that work is reconstructing context that should have been there from the start. Fix upstream and investigations get faster as a byproduct.
MCP Is Everywhere. Most Implementations Are Wasting Your Time.
Most MCP implementations in security are read-only API wrappers. Learn how natural language MCP endpoints over federated data change detection engineering, threat hunting, and alert triage.
A Brilliant Brain Without Eyes Is Still Blind: Why AI Security Needs a Better Data Layer
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.
Federated Security Analytics: Why Moving Compute to Data Is Replacing Centralized SIEM
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.
The Buzzwords Are New. The Architecture Isn't.
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.
The Agentic Operating System: How AI Redefines Security Operations
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.
Fake CAPTCHAs, Smart Contracts, Real Risk: Unpacking a ClickFix Campaign Delivering SectopRAT
How attackers use blockchain-hosted payloads and fake CAPTCHA lures to bypass traditional defenses and steal cryptocurrency wallets, browser credentials, and messaging app sessions
Critical Requirements for a Successful AI SOC
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
Three Months at Vega: Early Signals, Real Traction, and a Radical AI-Native SOC Vision
Reflections on momentum, product-market fit, and what it takes to build the operating system for AI-native security operations
How Data Gaps Turn Cyber Crises into Business Crises
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
No Data Left Behind: The Evolution from Index to Mesh in Security Analytics
How security data is growing faster than traditional analytics models can handle, and why federated mesh architectures represent the next evolution beyond centralized SIEMs
Partial Streams: Real-Time Results in a Federated Query Engine
Why wait for queries to finish? Simply stream results as they get computed in a long running query.
Why AI in Security Never Really Took Off - Until Now
Exploring how AI has been constrained by legacy security architectures and why a new foundation is needed for transformative security outcomes
Probably Faster Than You Can Count: Scalable Log Search with Probabilistic Techniques
Learn how modern data systems overcome the challenges of operating at massive scale using probabilistic techniques like Bloom filters & HyperLogLog
Search Logs Faster than Sonic
Learn how log search engines like Apache Lucene & tantivy work
