| What it does | The fix layer for the AI era
| AI-powered brand protection against phishing, deepfakes, and impersonation with managed takedowns
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| Stage | Not given
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| Founded | 2023
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| Based in | US
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| Pricing model | Free trial
| Contact for pricing
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| Pricing | Free beta tier available. Paid plans include Starter, Business, and Scale tiers with pricing based on scope of coverage, supported ecosystems, deployment requirements, and support level. Starter tier for proof-of-value pilots, Business for ongoing remediation, Scale for unlimited enterprise coverage
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| Key features | - Verified, backported patches for existing versions without upgrades
- Pre-CVE vulnerability fixing before public disclosure
- Container and Linux base image remediation
- AI coding agent integration via MCP server
- Integration with major vulnerability scanners
- Support for 8+ programming languages including Java, Python, JavaScript, C/C++, Go, PHP, C#, and Ruby
- 24/7 customer support with direct Slack/Teams channels
| - Real-time threat detection across 1.5 billion URLs daily
- 24/7 managed security operations center for takedown coordination
- Approximately 15 minute median time to block threats
- Decoy technology to corrupt attacker data and expose infrastructure
- Coverage across web, social media, mobile apps, and dark web
- Campaign-level threat mapping and infrastructure tracking
- Less than 1% false positive rate
- Executive and employee impersonation monitoring
- Complete takedown documentation with screenshots and timestamps
- API, email, Slack, and Teams alert integration
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| What makes it different | - Fixes vulnerabilities before CVEs are published and before vendors release fixed versions
- Human-reviewed and verified patches, not AI-generated code
- Minimal code changes averaging just 6.5 lines per patch
- No forced upgrades, migrations, or breaking changes to applications
- Patches for unfixable vulnerabilities in end-of-life systems
| - End-to-end managed service handles detection, validation, and takedown without requiring customer operational involvement
- AI trained on years of real phishing kits and attack data, not just surface indicators
- Decoy technology that corrupts stolen data and exposes attacker infrastructure for intelligence
- Detection of threats while attackers are still building infrastructure before victims are targeted
- Built on DARPA-funded research from Columbia University protecting DoD networks
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 50 ▲ +1 (up) since last check | 53 ● no change since last check |
| Trust Flow (Majestic) | 13 | 19 |
| Citation Flow (Majestic) | 35 | 23 |
| Referring domains (Majestic) | 203 | 358 |