THE CASE FOR FROSTBOW™⟶
258 days. That is how long the average organization takes to identify and contain a breach. The adversary doesn’t need that long.
The root cause is architectural, not operational. Every rule-based system was built to execute instructions — not to understand what it’s looking at. When the pattern changes, the system fails. Execution without understanding is not defense. It is reflex.
The real comparison isn’t just cost. It’s cost per hour of actual protection. A traditional SOC is only as good as the analyst on shift. Frostbow™ provides identical protection at 2pm and 2am, on a Tuesday and on Holidays.
frostbow™ by the numbers⟶
Autonomous Alert Closure
Mean Time to Analysis
Cost Reduction vs. Traditional SOC
Time to Full Deployment
The following comparison covers the capabilities that matter most when the attack happens at 3am and no one is watching.
| Capability | SKADI Frostbow™ | Darktrace | SentinelOne | CrowdStrike | Dropzone AI | Simbian AI |
|---|---|---|---|---|---|---|
| Defense Architecture | Living architecture — Environment intelligence · Earned confidence · Forward reasoning · Proportional restraint | Rule-based / ML correlation | Rule-based / ML correlation | Rule-based / ML correlation | Agentic AI / playbook-driven Agentic AI / playbook-driven | Agentic AI / playbook-driven |
| Autonomous threat response | ✓ | Partial — requires human confirmation for response actions | Partial — automated response available but rule-dependent | Partial — automated response available but rule-dependent | ✓ | ✓ |
| Ontological AI (causal reasoning) | ✓ | ✗ — correlation and anomaly-based | ✗ — rules-based and ML pattern matching | ✗ — rules-based and ML pattern matching | ✗ — LLM-based triage, not causal reasoning | Partial — AI-assisted but not ontological |
| No SOC team required | ✓ | ✗ — analyst review required for most response decisions | ✗ — requires dedicated security operations | ✗ — requires dedicated security operations | Partial — reduces analyst load but does not eliminate SOC | Partial — reduces analyst load but does not eliminate SOC |
| Explainable decisions (full reasoning trace) | ✓ | Partial — provides some visibility but limited reasoning explanation | Partial — alert context provided, not full causal trace | Partial — alert context provided, not full causal trace | ✓ — LLM-generated summaries | Partial — summarized findings, not full trace |
| Works without existing security stack | ✓ | ✗ — requires network integration and existing environment | ✗ — EDR-dependent | ✗ — EDR-dependent | ✗ — requires existing SIEM/EDR data sources | ✗ — requires existing alert sources |
| Agentless / passive OT monitoring | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| Compounding network intelligence (global learning) | ✓ — node → company → global promotion model | ✗ — per-deployment learning only | ✗ — signature and rule updates only | ✗ — signature and rule updates only | ✗ | ✗ |
| Data sovereignty / jurisdiction-matched deployment | ✓ — Canada, US, UK, India; rapid sovereign provisioning | Partial — multi-region but limited sovereignty options | ✗ — US-based infrastructure primary | ✗ — US-based infrastructure primary | ✗ | ✗ |
| Deployment time | 2–4 weeks | 4–8 weeks | 4–12 weeks | 4–12 weeks | 2–4 weeks | 2–4 weeks |
The following comparison covers the capabilities that matter most when the attack happens at 3am and no one is watching.
This gap is not a product feature — it’s an architectural one. Rule-based and correlation-based systems need to be updated (often manually). An ontological AI that has been learning causation across live deployments for years cannot be fast-followed. The moat is time, not technology.
Many security vendors store your data in a single region, under a single legal framework — regardless of where you operate or what your compliance obligations require. When that framework changes, or when a government compels disclosure, you may have no recourse.
SKADI takes a different approach. We operate dedicated infrastructure across multiple jurisdictions and can provision a sovereign deployment matched to your specific regulatory environment — typically within the same deployment window as a standard engagement. Your data stays where it needs to be, governed by the rules that apply to you.
Dedicated infrastructure in your operating jurisdiction
Telemetry processed and stored locally, full stop
Available within standard deployment timelines — no lengthy procurement required
Already operating under a specific regulatory framework? Talk to us.
Frostbow™ generates complete audit trails of every detection, every autonomous decision, and every response action — with a full reasoning trace. Every event is logged, timestamped, and exportable. When your cyber insurer asks what happened at 2am last Tuesday, you have an answer.
Frameworks: HIPAA · PCI-DSS · CMMC · NIST · CIS Controls · Common Criteria – ISO/IEC 15408 (in progress) · SOC 2 Type 2 (in progress) · PIPEDA · FIPS 140-2 (in progress)
For organizations in regulated industries or government supply chains: SKADI’s compliance roadmap is structured around the certifications that matter most in those environments. Common Criteria — the standard required for government defence procurement — is SKADI’s primary certification track. Ask us about our current compliance status and timeline.
The gap between enterprise-grade protection and what most organizations can realistically deploy has become a public safety problem. Small businesses, medical clinics, school boards, and municipal services face the same adversaries, the same tactics, and the same consequences as the largest enterprises — without the resources to match them.
Frostbow™ exists to close that gap. Not by cutting corners on capability, but by removing the cost driver that made enterprise security unaffordable in the first place: the human analyst in the response loop.
Frostbow™ is that architecture. A living defense system that delivers genuine machine judgment — autonomously, affordably, and built to be trusted.
