Cisco (Robust Intelligence) vs Salus
Updated March 27, 2026
Overview
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.
Runtime guardrails API that validates AI agent actions against policies before execution, blocking incorrect actions with structured feedback.
Key features
Core capabilities each platform advertises.
- AI firewall and guardrails
- Model validation and testing
- Continuous monitoring
- Compliance reporting
- Enterprise security policies
- Runtime action validation
- Policy-based guardrails
- Pre-execution blocking
- Structured feedback for self-correction
- Agent action auditing
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Pioneered AI security category with first AI Firewall
- USD 400M Cisco acquisition validates technology
- Comprehensive protection against AI-specific threats
- Trusted by major enterprises
Cons
- Now part of Cisco—product direction may change
- Technology relatively young and unproven at massive scale
- Cisco has mixed track record with acquisitions
- Requires continuous monitoring infrastructure
Pros
- Solves a critical problem — agents executing incorrect actions can cost enterprises thousands per incident
- Clean developer experience with Python SDK, decorator-based instrumentation, and framework-agnostic compatibility
- 58% self-recovery rate on blocked actions means agents keep working rather than failing hard
- Comprehensive approach combining runtime guardrails, observability, and pre-deployment adversarial evals
- Well-funded at .7M with strong Stanford CS founding team
Cons
- No public pricing creates friction for developer adoption in a space with transparent free tiers
- Very early stage (founded 2026) with a small team and limited enterprise track record
- Competes with Guardrails AI and built-in safety features from OpenAI and Anthropic
- Adding a validation layer introduces latency to every agent action
Cisco (Robust or Salus — which should you choose?
Choose Cisco (Robust if you wantChoose if you want
- Enterprise AI governance
- Model risk management
- Regulatory compliance for AI systems
- Automated AI security testing
- Production AI monitoring
Choose Salus if you wantChoose if you want
- Agent safety enforcement
- Action policy compliance
- Runtime guardrails
- Agent audit trails
Compare Cisco (Robust Intelligence) and Salus on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 500+ models through one gateway.