| What it does | Fraud detection and prevention for web apps that detects account abuse and bots under any masking
| Automated vulnerability remediation platform that finds and fixes vulnerabilities across Windows, macOS, Linux and 20,000+ third-party apps
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| Stage | Startup
| Established
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| Founded | 2025
| 2016
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| Based in | US
| US
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Free tier with 5,000 identifications. Paid plans: Starter $99/month for 25,000 identifications (monthly billing) or $79/month billed yearly; Growth $399/month for 150,000 identifications (monthly) or $319/month billed yearly; Scale $999/month for 500,000 identifications (monthly) or $799/month bille
| Pricing is based on the number of managed endpoint assets covered by subscription. Annual and multi-year subscription agreements available with variable pricing based on volume tier, subscription term, and selected package.
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| Key features | - Device fingerprinting to recognize devices and detect headless browsers and tampering
- Multi-accounting detection starting at three accounts per visitor
- Risk scoring from 0 to 100 with signal breakdown
- Bot and AI traffic detection with browser automation signals
- IP geolocation and real IP address revelation behind masking
- Traffic quality scoring by source, channel, referrer, and UTM campaign
- Dashboard, API, and webhooks for results delivery
- Five-minute integration with JavaScript snippet or supported SDKs
| - Automated patch deployment across Windows, macOS, Linux and 20,000+ third-party applications
- Patchless Protection with in-memory application wrapping to block exploit paths
- Scripting engine for configuration changes, registry modifications, and file-level fixes
- AI-powered risk prioritization by exploitability, context and business impact
- Compliance management with 100+ CIS benchmarks, PCI-DSS, HIPAA, CMMC
- Live security reporting and dashboards for cyber risk, remediation progress, patch safety and ROI
- AI-powered vulnerability validation with agentic AI that filters false positives
- Integration with existing security tools including EDR, SIEM, CSPM, vulnerability scanners
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| What makes it different | - 99.9% identification accuracy and 99.9% risk signal detection accuracy across 300+ signals
- Ready-made High-Risk Event detection requires no custom fraud model training
- Explainable risk scores showing which signals fired and their weights
- Self-serve five-minute onboarding with no procurement or sales cycle required
| - Remediation-first approach that goes beyond scanning to automatically fix every vulnerability identified
- Patchless Protection enables vulnerability remediation without waiting for patches or disrupting operations
- Agentic AI validates real risk and reduces false positives by 95%
- No rip and replace required - integrates with existing security tools without replacement
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 39 ▼ −1 (down) since last check | 63 ● no change since last check |
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| Trust Flow (Majestic) | 15 | 16 |
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| Citation Flow (Majestic) | 37 | 30 |
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| Referring domains (Majestic) | 240 | 853 |
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ShieldLabs
Vicarius