Red teaming and evaluation · #2 by signal score
Mindgard
Automated AI red teaming that emulates attacker behavior against models, agents, and the tools, APIs, and data sources they connect to, with findings mapped to the OWASP LLM Top 10 and MITRE ATLAS.
30Signal score / 100
- Capital
- 9.7/35
- Product
- 10/25
- Standards
- 0/20(not yet assessed)
- Momentum
- 10/20
Identity primitives
| Agent as a first-class identity | Not checked |
| On-behalf-of token exchange | Not checked |
| Cross App Access (ID-JAG) | Not checked |
| Asynchronous human approval (CIBA) | Not checked |
| MCP authorization conformance | Not checked |
| Fine-grained authorization | Not checked |
| Short-lived, secretless credentials | Not checked |
| Token vault | Not checked |
| Kill switch | No public claim found |
| Per-action audit chain | No public claim found |
Company
HQ: GB
Founded: 2022
Funding: $42M disclosed, latest Series A
Product: Mindgard Automated AI Red Teaming
Sources
- Mindgard: automated AI red teaming (vendor, accessed 2026-09-24)
- Mindgard documentation (vendor, accessed 2026-09-24)
- Mindgard raises $30 million to protect AI systems (trade-press, accessed 2026-09-24)
Last verified 2026-09-24.