AI Native Predictive
SecOps

Predict & Prevent™ Cyber Attacks

More Effective

More Noise

The cybersecurity landscape is a battlefield of exponential growth. Threats already multiply 10x every few years—a trend that is accelerating with AI and soon to be fueled even more by quantum computing, IoT sprawl, and generative AI in the hands of adversaries. Incremental 10% improvements? AI Bolt Ons to legacy platforms? That’s like bringing a pocket knife to a laser fight. They might buy a little time, or make you feel good, but they don’t win wars. Our transformational approach demanded radical innovations and bold reimagining of traditional solutions and processes.
We are fighting AI with AI and changing the conversation completely. Join Us!

TRADITIONAL SECOPS

Deterministic

Manual, Hand Built

Rigid

Everything in the traditional SecOps workflow is hand built, hard wired, and complex, making it fragile, buggy, and limited to what you know going in.

AI NATIVE SECOPS

Generative

Agentic

Predictive

AI Native SecOps learns as you go, breaking down walls and silos and providing real time, dynamic insight and response, unexpected and multi-dimensional correlation, and unforeseen detections, predictions, and actions.

Ingest All Your Data, without relying on unreliable parsers and pre-built integrations from vendors.

Get Rid of expensive Ingestion Based Pricing, unlocking cost-effective storage options

Don’t rely on hand-built, delicate queries or detections that need care and feeding.

Why wait for detections in the first place -detecting means something already happened… get proactive instead.

Convert manual processes, especially repetitive ones, to Al interactions, all using natural language prompting.

Generatively Ingest Any Data w/ our patented Parserless technology.

Separation of log storage and analytics puts you back in control of predictable, budgetable pricing.

Predictive Al gives you insights into Proactive measures you can take to prevent or preempt attacks.

Generative Detections hunt for maximum context and correlation, not “only” predetermined triggers.