Key features
Core capabilities each platform advertises.
Data not available
- AI firewall and guardrails
- Model validation and testing
- Continuous monitoring
- Compliance reporting
- Enterprise security policies
Updated March 10, 2026
Protect AI provides end-to-end AI/ML security covering the entire model lifecycle. Its platform includes model scanning for vulnerabilities, supply-chain security for ML artifacts, runtime threat detection, and policy enforcement. Protect AI helps enterprises secure AI pipelines from development through production deployment.
Robust Intelligence, acquired by Cisco in late 2024, provides AI validation and protection. Now integrated into Cisco's security portfolio, the platform offers automated red-teaming, continuous model validation, and runtime firewall protection for LLM applications. It detects adversarial attacks, data poisoning, hallucinations, and prompt injections across the AI lifecycle.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Protect AI if you wantChoose if you want
Choose Cisco (Robust if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free