The AI safety testing market is growing rapidly — projected to reach $11.6B by 2033 (26.1% CAGR). But almost all current vendors focus on text-based LLMs and enterprise chatbots. The embodied AI safety gap — testing robots, VLAs, and physically-deployed AI — remains largely unaddressed.
This landscape maps the vendors we track, their capabilities, and where Failure-First occupies a differentiated position.
Vendor Comparison
| Vendor | Type | HQ | Embodied AI | VLA Testing | Compliance | Threat Level |
|---|---|---|---|---|---|---|
| Failure-First (Us) | Research Framework | Australia | Yes | Yes | Research-grade | — |
| Alias Robotics | Robot Cybersecurity | Spain | Yes | No | NATO DIANA, ISO 10218 | HIGH |
| Mindgard | AI Red Teaming SaaS | United Kingdom | No | No | SOC 2 Type II, GDPR, ISO 27001 (pending) | HIGH |
| HiddenLayer | MLSecOps Platform | United States | No | No | Enterprise | MEDIUM |
| CalypsoAI | AI Security Platform | United States | No | No | Enterprise governance | MEDIUM |
| Adversa AI | Agentic AI Security | Israel | No | No | Research + enterprise | MEDIUM |
| Cisco AI Defense | Enterprise AI Security | United States | No | No | Cisco enterprise stack | MEDIUM |
Detailed Profiles
Failure-First (Us)
Embodied AI adversarial testing, VLA safety, multi-turn degradation
Alias Robotics
HIGHFirmware security, network pentesting, CAI framework for robotic systems
Mindgard
HIGHMulti-modal AI security testing, prompt injection, model inversion
HiddenLayer
MEDIUMRuntime adversarial ML detection, model monitoring
CalypsoAI
MEDIUMAutomated red teaming, security scoring, agentic attack packs
Adversa AI
MEDIUMAgentic red teaming, prompt injection, tool leakage
Cisco AI Defense
MEDIUMEnterprise LLM security (ex-Robust Intelligence acquisition)