| What it does | Self-Improving Defense platform that protects from AI attacks
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | 2022
| Not given
|
|---|
| Based in | US
| Not given
|
|---|
| Pricing model | Contact for pricing
| Contact for pricing
|
|---|
| Pricing | Not given
| Not given
|
|---|
| Key features | - Acts directly in EDR, cloud, Active Directory, and SIEM
- Investigates every alert to a verdict with reasoning, not playbooks
- AI SOC Agent for automated alert triage and response
- AI Threat Hunt Agent for hypothesis-driven threat detection
- AI Pentest Agent for continuous, on-demand offensive testing
- AI NetSecOps Agent for firewall and network operations
- Context Lake for organization-wide persistent memory of assets and verdicts
- Multi-tenant isolation with per-tenant reasoning for MSSPs
- Hardened against prompt injection and data poisoning
| - Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
- Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
- Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
- Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
- Small focused AI models in deterministic graph: reduces errors and cost vs single large models
- Fully auditable and explainable execution
- Durable execution engine with checkpoints and automated recovery
|
|---|
| What makes it different | - Responds to every alert in under 4 minutes on average
- 95% of proposed actions approved by your own analysts
- Self-improves by learning from analyst corrections
- Onboards tenants in hours, not months
| - Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
- Partners keep control of brand and customer relationships while using platform for execution
- Usage-based pricing aligns fees with completed outcomes rather than features
- Small focused AI models designed for accuracy and repeatability in high-trust workflows
- Includes mapping stage to validate commercial viability before significant investment
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 44 ● no change since last check | 12 ● no change since last check |
|---|
| Trust Flow (Majestic) | 17 | 8 |
|---|
| Citation Flow (Majestic) | 36 | 29 |
|---|
| Referring domains (Majestic) | 356 | 64 |
|---|
Simbian®
Aguru