Crogl, Inc.

The SANS AI Blueprint lays out three requirements for secure AI adoption: Protect AI, Utilize AI, Govern AI.Crogl was built to deliver on all three. Protect AI: Our patented non-normalization approach preserves data lineage and context, eliminating transformation vulnerabilities while maintaining full auditability. Utilize AI: We augment analysts instead of replacing them—the "Iron Man suit" approach that keeps humans in control of high-stakes decisions. Govern AI: Every query, every investigation, every action is logged and traceable. No black boxes. No unexplainable outputs. SANS found that only 27% of CISOs have mapped AI controls to security frameworks. Most organizations are deploying AI faster than they can secure it. The SOCs that win won't be the ones with the most AI. They'll be the ones with AI they can actually control, audit, and defend. Read the full blueprint: https://lnkd.in/g7WB89qX

In case you missed it. monzy merza shared some great insights on the Google Cloud Security Podcast, "EP249 Data First: What Really Makes Your SOC 'AI Ready'?" with hosts Anton Chuvakin and Timothy Peacock. "An AI system that never makes mistakes isn't robust—it's overfitted... Systems that never experience stress become brittle and fail catastrophically when faced with novel situations." Check out some notes or take a listen here: https://lnkd.in/g8simZuP

When security data doesn't need to be normalized first, everything changes. Deployments happen in days instead of months. Analysts get answers immediately. Context is preserved. Teams spend less time on data gymnastics and more time on what matters: detecting threats and investigating incidents. This isn't just about speed. It's about giving security teams the infrastructure they deserve—one that works with the complexity of modern environments instead of forcing them to simplify reality to fit a schema. Crogl has been granted a patent for analyzing security data without normalization—and we built it because security teams told us what they actually need. Security operations shouldn't be limited by your data infrastructure—they should be empowered by it. Read Justin Warren MBA, GAICD's take in this article: https://lnkd.in/gsmjhQeT #Cybersecurity #SOC #SecurityOperations #AI #ThreatDetection #Crogl #Forbes

Crogl, Inc. just announced US Patent 12277177B1 for analyzing non-normalized security data. Here's the problem we solved: Data normalization creates three critical bottlenecks that most SOCs face daily: 1. Massive implementation lift – costly data cleaning, standardization projects, and vendor lock-in 2. Cognitive overload – analysts trying to memorize hundreds of schemas and query languages across constantly evolving environments 3. Lost intelligence – normalization drops vendor-specific fields and context that matter during investigations Our patented approach enables our Knowledge Engine to traverse and interrogate security data across various sources in place, without requiring normalization. Think of it like a semantic layer that maps similar concepts together – when you search for an IP address, it finds everything that looks like an IP address, regardless of what it's called in each system. The impact: Customers deploy Crogl without data movement, normalization projects, or lengthy onboarding cycles. As Filip Stojkovski from SecOps Unpacked put it: "We need systems that work with data as it exists, not as we wish it existed." That's exactly what we built. And now it's patented. Read the full announcement: https://lnkd.in/gR6djxjS #Crogl #Cybersecurity #SecOps #Patent #Innovation

What if your AI never needed the internet again? The security world just discovered its holy grail: AI that thrives in complete isolation. No cloud. No external connections. No vulnerabilities. Just pure, adaptive intelligence running entirely within YOUR walls. Game-changing capabilities: • Learns from your data, not the internet's chaos • Evolves with your specific threats and workflows • Every decision tracked, every action verified • Built by operators who've been in the trenches This isn't theoretical. It's ready for operation. The question isn't whether isolated AI can match connected systems. It's why you'd ever expose your AI to the outside world again. Ready to rethink everything?

Air-gapped AI isn't a limitation - it's a superpower. We've been wrong about AI needing constant internet connectivity. A breakthrough now enables fully operational AI that learns and adapts entirely within isolated environments. What changes everything: • Builds trusted intelligence from YOUR data, not public noise • Learns your specific environment without external connections • Fully auditable with traceable decisions • Ready for SCIFs, critical infrastructure, and secure operations The future of cybersecurity isn't about choosing between security and intelligence. It's about having both - through intelligent isolation - and it's operational today. Have you considered AI that never leaves your environment?