Robust Intelligence

Name: Robust Intelligence
Brand: Robust Intelligence
Rating: 4.5 (2 reviews)

Achieve AI security and safety to unblock the enterprise AI mission. Robust Intelligence is now part of Cisco.

Est 2019|Valuation $208M|Raised $44M|32 Ref Customers

LinkedIn 17K|Website|FTEs 28|HQ San Francisco, California, US

MarketsAI Security Platforms

01Competitive Landscape

Narrative analysis

Platform‑native controls (Vertex AI, etc.) can be simpler when standardized on one cloud provider, but are often less suitable for true cross‑platform environments.
Thin guard layers (Lakera‑style) may deploy with lower latency and less initial effort, while lifecycle testing provides broader validation earlier in development but can require more setup.
Differentiation among vendors usually centers on ease of deployment, breadth and accuracy of detections, enterprise workflow integration, and proof of efficacy.

- Platform‑native controls (Vertex AI, etc.) can be simpler when standardized on one cloud provider, but are often less suitable for true cross‑platform environments. - Thin guard layers (Lakera‑style) may deploy with lower latency and less initial effort, while lifecycle testing provides broader validation earlier in development but can require more setup. - Differentiation among vendors usually centers on ease of deployment, breadth and accuracy of detections, enterprise workflow integration, and proof of efficacy.

Adoption / market signals

The vendor’s acquisition and integration into a larger enterprise security portfolio suggest the technology is being absorbed into broader product lines. Public peer‑review pages show limited independent review activity; interpret these as limited market signals rather than definitive market share metrics.

	Robust Intelligence	Protect AI	HiddenLayer
Starting Price	Not public (demo/contact sales)	Not public (enterprise quote typical)	Not public (enterprise quote typical)
Suitable For	Enterprises requiring pre‑deployment validation and runtime guardrails, plus standards mapping	Enterprises focused on AI/ML supply chain security and governance	Organizations seeking MLSec protections for models, input/output monitoring, and adversarial defenses
Key Strength	Lifecycle approach (validation + protection) and standards‑mapping capabilities	Broad AI security posture and governance features (varies by offering)	Focus on model protection and adversarial robustness
Key Weakness	Limited public review volume; pricing opacity; public security‑certification details incomplete	Pricing opacity; platform breadth can imply complexity	Pricing opacity; may require significant integration and operational maturity