| What it does | AI-powered brand protection against phishing, deepfakes, and impersonation with managed takedowns
| AI security for chatbots, RAG systems, and agentic workflows
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Contact for pricing
| Not given
|
|---|
| Pricing | Not given
| Not given
|
|---|
| Key features | - 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
| - Intent envelope specification with open JSON Schema
- Multi-turn jailbreak and injection testing across web, mobile, and voice
- Deterministic execution boundary enforcing tool allowlists
- Human-in-the-loop escalation for high-impact actions
- Identity and credential separation per agent
- Supervisor check for independent action validation
- Free AI attack surface assessment tool
- Findings mapped to OWASP, MITRE ATLAS, and NIST AI RMF
|
|---|
| What makes it different | - 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
| - Open-source intent envelope specification implementable with own engineers
- Calibrated defenses from red team findings rather than off-the-shelf policies
- Findings carried through to runtime controls and access changes, not just reports
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 53 ● no change since last check | 1 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 19 | 0 |
| Citation Flow (Majestic) | 23 | 12 |
| Referring domains (Majestic) | 358 | 1 |