NullRabbitTHE NEXT CYBER ERA
Agentic security for decentralized infrastructure. 24/7 monitoring that detects threats before an attacker does.
What We Found
We scanned hundreds of nodes across decentralized networks to understand why traditional scanners were missing real exposures. Validators, AI clusters, distributed services — all share the same blindspots.
≈40% exposed critical services to the public internet
Attack surfaces are expanding faster than detection capabilities can adapt
Over 80% of "critical" alerts from traditional scanners were false positives
The same visibility gaps exist across AI services, cloud, and DePIN systems.
Why Traditional Security Fails
Legacy tools mistake firewall noise for real threats — wasting time while true exposures stay open.
The Ghost Port Problem
Cloud firewalls create "ghost ports" that scanners flag as critical vulnerabilities. Teams waste hours investigating false positives.
12 "critical" threats reported
10 false positives, 2 real
Hours wasted on noise
The Infrastructure Blind Spot
Networks invest millions in code audits but ignore infrastructure security. Critical validators sit exposed to the internet waiting for a breach.
Millions invested in code audits
Critical validators exposed
Perfect code, compromised infra
The Speed & Cost Trap
Traditional pentests are expensive and slow. By the time quarterly scans complete, your infrastructure is outdated.
$10K-50K per assessment
Quarterly scans (outdated instantly)
Exploited in hours, not quarters
How Agentic Security Works
AI classifies. Agentic AI reasons, learns, and acts.
NullRabbit deploys autonomous agents that continuously perceive, learn, and respond.
PERCEIVE
- Sees through cloud deception and firewall noise
- Protocol-specific detection for Sui, Ethereum, Solana, Cosmos
LEARN
- Each scan improves collective intelligence
- Detects new attack vectors automatically
ACT
- Provides prioritized remediation, not just alerts
- Validates fixes automatically
Security that thinks. Learns. Acts.
The Proof
We compared NullRabbit's results to legacy scanners across live validator networks.
| Traditional Scanner | NullRabbit | |
|---|---|---|
| Alerts Reported | 12 "critical" | 2 actual exposures |
| False Positives | ~80% | <5% |
| Validation Time | Days | <60 minutes |
| Context | None | Full context + remediation |
| Learning | Static rules | Continuous adaptation |
Private Beta
We're inviting a small group of operators to shape the private beta.
• Free scans during beta • Early access to features • Direct feedback loop with the team