| What it does | Predictive cybersecurity platform that identifies and disrupts threats before attackers can strike
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Contact for pricing
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| Pricing | Platform starts at $50,000 annually. Pricing structure includes base PreCrime™ Platform ($50k base), plus optional Defense Pack, Intelligence Pack, or Credential Pack, add-ons like PreCrime Labs reporting and Multi-year discounts, and optional PreCrime™ Guarantee (10x coverage). Customer examples: i
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| Key features | - Predicts threats 18 days ahead of traditional intelligence providers
- 98% TLD coverage with less than 0.05% false positive rate
- Behavioral AI analysis for early threat detection
- 93%+ preemptive takedown of malicious infrastructure
- Up to 75% reduction in phishing exposure
- 100% automated threat detection and response
- Compatible with existing EDR and security tools
- Real-time intelligence feed with 5 use case API access
- PreCrime Guarantee: Munich Re-backed coverage up to 10x service contract
| - Single static binary deployment
- SQLite-based durable state
- Kernel-enforced firewall rules via nftables, iptables or ipset
- Built-in service filters for sshd, web and mail services
- Configurable jail policies with thresholds and escalation
- fail2ban configuration migration support
- Bounded resource limits and memory controls
- Firewall rule inspection and verification
- IPv4 and IPv6 protection
- Threat model documentation
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| What makes it different | - Identifies threats during attacker preparation phase, not after attacks begin
- Combines predictive AI, behavioral analysis, and automated takedown orchestration
- Shifts security from reactive to preemptive defense model
- Gartner® Cool Vendor recognition for AI in Banking and Investment Services
- Works seamlessly with existing security infrastructure without replacement
| - No Python runtime or database server required - single static binary
- Durable protection state survives restart with SQLite
- Explicit resource limits prevent hostile input from crashing daemon
- Verified kernel enforcement with netlink confirmation
- Native Zig implementation with no regex engine overhead
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 55 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 16 | 0 |
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| Citation Flow (Majestic) | 33 | 10 |
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| Referring domains (Majestic) | 438 | 21 |
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Bfore
fail2zig