Robust Intelligence (Cisco) vs Trellix Helix
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Robust Intelligence, now part of Cisco, is an AI application security platform positioned around algorithmic red teaming and an AI Firewall concept for safeguarding AI applications, with a focus on managing AI risk and providing end to end AI security capabilities under Cisco AI Defense.
Cloud native security operations platform for ingesting telemetry, correlating threats and orchestrating response across a wide ecosystem.
Feature Tags Comparison
Key Features
- Algorithmic red teaming: Cisco highlights algorithmic red teaming as a core innovation for systematically testing AI failure modes
- AI Firewall concept: Cisco states the product introduced the industrys first AI Firewall framing runtime protection for AI apps
- AI risk management: The Cisco positioning emphasizes managing AI risk across development and usage of AI applications
- Enterprise alignment: The product is described as foundational to Cisco AI Defense which targets enterprise AI security programs
- Security research base: Cisco cites ongoing research on jailbreaks and data extraction which informs practical threat models
- Demo led adoption: Cisco provides request a demo and how to buy paths rather than self serve signup and pricing
- 500 plus integrations across 230 vendors: ingest logs alerts and telemetry without building brittle connectors
- Correlated detections and entity views: see relationships across users hosts identities and cloud assets
- Case management and timelines: organize investigations with evidence artifacts and analyst notes
- Automation and playbooks for response: accelerate containment enrichment and ticketing across tools
- Threat contextualization and intel: enrich alerts with global feeds and local knowledge bases
- Role based access and reporting: align with compliance and executive needs
Use Cases
- LLM jailbreak testing: Run systematic red team style tests on chatbots to identify prompt injection and unsafe output paths
- RAG leakage assessment: Evaluate retrieval systems for data leakage and tool misuse under adversarial user input
- Policy enforcement layer: Place controls around AI endpoints to block disallowed content and reduce harmful outputs
- Release gate for AI: Use security validation as a pre release checkpoint for new model versions and prompt changes
- Security operations workflow: Feed findings into SOC processes so AI incidents are tracked like other security events
- Compliance reporting: Generate evidence that AI systems are tested and monitored for risk in regulated contexts
- Unify detections across endpoint network and cloud
- Reduce MTTR with enriched correlated alerts
- Automate repetitive SOC tasks and handoffs
- Modernize SIEM workflows without rip and replace
- Run 24x7 operations with case management
- Provide exec ready reporting and KPIs
Perfect For
CISOs, security architects, AI governance leads, ML platform teams, risk and compliance teams, SOC analysts, product leaders deploying LLM apps, enterprises adopting Cisco AI Defense
security operations teams platform owners and CISOs who need a cloud delivered SOC platform that integrates widely and accelerates investigation and response
Capabilities
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