All the power of AI.None of the public-cloud risk.
IntelliThreat AI runs on a private, dual-tier architecture — Edge LLMs on Cyber Threat Analysis Nodes plus dedicated models on NVIDIA GPU infrastructure. Your telemetry is analyzed at machine speed and never touches a third-party API.
- No third-party AI APIs — ever
- Data never leaves the secure boundary
- No per-token fees — predictable cost
- Models purpose-built for threat analysis
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AI wrappers send your data somewhere else.
Many security vendors bolt a public LLM API onto their product and call it AI. The demos look impressive — and three structural flaws follow the data out the door:
The Data Privacy Paradox
Every log, email header, and forensic artifact sent to a public API leaves your perimeter. Even with "no training" assurances, sensitive PII transiting public infrastructure violates GDPR, HIPAA, and FedRAMP governance.
Runaway Pay-Per-Token Costs
Security means processing massive data volumes. Usage-based pricing turns operations into an uncontrollable cost center — a single attack campaign can spike your AI bill overnight.
Latency & Dependency
Public models are shared across thousands of tenants — rate limits, outages, and round-trip inference delays included. In a live incident, milliseconds matter.
Two tiers. One boundary. Zero exposure.
Instead of a simple API connection, IntelliThreat AI is a proprietary dual-tier Private AI stack. Every inference happens inside a controlled, secure boundary — on hardware optimized for threat detection.
Edge LLMs on Cyber Threat Analysis Nodes
Specialized Edge LLMs run directly on our CTANs, triaging high-volume telemetry the moment it's generated — before it goes anywhere.
- Local processing — instant triage of routine data
- Intelligent filtering kills noise and false positives
- Zero exposure — sensitive data analyzed at the edge
The Private Cloud Powerhouse
Complex threat hunting and deep forensics escalate to larger proprietary models hosted exclusively in IntelliThreat's private facilities — never a public API.
- NVIDIA Inception Program GPU infrastructure
- Dedicated instances — isolated per environment
- No third party can access, view, or train on your data
Your intelligence stays yours.
Data is processed on Edge CTANs or inside IntelliThreat's private facilities — dedicated model instances in isolated environments. There is no point in the pipeline where your telemetry, PII, or proprietary intelligence transits public infrastructure.
- No public APIs anywhere in the pipeline
- Dedicated, isolated model instances
- Nobody can access, view, or train on your data
- Built for GDPR, HIPAA, and FedRAMP governance
Private AI vs. public providers.
Where the AI lives is now as important as the AI itself. Here's what moving away from public providers actually buys you.
Pay for security, not tokens.
Edge triage on the CTANs drastically reduces the compute needed for deep analysis — and with no third-party APIs in the loop, you're insulated from the volatile pricing of the public AI market entirely.
- No per-token fees — ever
- Edge triage slashes deep-analysis compute load
- Predictable cost at any log volume
- Costs don't spike when you're under attack
Generalist models write poetry. Ours hunt threats.
Public models know a little about everything. IntelliThreat AI is a specialist — a workflow optimized end to end for security telemetry.
Tuned for Telemetry
Models trained on the nuances of attack vectors, log formats, and adversary behavior — no prompt-engineering gymnastics required.
Higher Detection Rates
Edge processing plus private large-model analysis catches the sophisticated behavior that generalist models — and static rules — miss.
Fewer False Positives
Intelligent edge filtering suppresses noise before it ever reaches an analyst — so the alerts that surface are the ones that matter.
