Robust Intelligence

AI security platform — acquired by Cisco

Security & Safety Enterprise
Researched · Published
RECATOOLS Score
7.3 / 10
Capability
8
Value for money
6.5
Ease of use
6
ASEAN readiness
5.5
API quality
6.5
Founded
2019
HQ
San Francisco, California, USA
Users
Launched
Developer

Overview

Robust Intelligence builds enterprise AI security tooling — model validation, runtime protection, prompt injection defense. Acquired by Cisco in 2024 and folded into Cisco's broader AI Defense product line.

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Use cases

AI red teaming Model validation Runtime LLM protection

What you can produce with Robust Intelligence

  • Generate an AI bill of materials that inventories every model, agent and MCP server in use across the organisation, surfacing shadow AI teams never declared.
  • Run automated algorithmic red-teaming against a model or AI application before deployment to uncover jailbreak and prompt-injection weaknesses.
  • Apply real-time guardrails to production AI apps that block prompt injection, unsafe outputs and sensitive-data leakage as requests flow through.
  • Validate a third-party or open-source model for known vulnerabilities before approving it for internal use.
  • Enforce organisation-wide AI usage policies at the network layer through integration with Cisco's security fabric.
  • Let developers self-serve test their agents' resilience to attack with the AI Defense Explorer Edition before shipping.
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ASEAN Perspective

Robust Intelligence in Southeast Asia

ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).

RECATOOLS Verdict

Robust Intelligence is an AI security platform offering automated red-teaming, an AI firewall and runtime guardrails to protect LLM and ML applications from prompt injection, data leakage, jailbreaks and unsafe outputs. It's a serious, enterprise-grade entry in the emerging AI-security category and was acquired by Cisco, signalling integration into broader security tooling.

It suits enterprises and regulated organisations deploying GenAI that need validation, monitoring and policy enforcement. Caveats: it's an enterprise product with quote-based pricing and a security-team audience, not a self-serve tool; post-acquisition roadmap and standalone availability may shift; and it assumes you already have meaningful AI workloads to protect. ASEAN suitability is via enterprise/Cisco channels rather than regional localisation.

Independent AI-assisted assessment by RECATOOLS.

What people say

Robust Intelligence no longer exists as a standalone product. Cisco completed its acquisition of the AI-security pioneer in October 2024 and folded the team and technology into Cisco AI Defense, which launched in January 2025 and has been expanding since. Anyone searching for Robust Intelligence's original model-validation platform today is redirected to Cisco; the founding technology — automated model testing, algorithmic red-teaming and runtime guardrails against prompt injection and data leakage — survives as the core of the Cisco offering, and the team also seeded Cisco's Foundation AI security-model work.

As Cisco AI Defense, the product has grown into a lifecycle platform: an AI bill of materials for inventorying models, agents and MCP servers across an organisation, automated vulnerability testing of those components before deployment, and real-time guardrails at runtime, including integration with Nvidia's NeMo Guardrails framework. Cisco's 2026 announcements added agent-focused protections and a self-serve Explorer Edition for developers. Early feedback on Gartner Peer Insights is thin but directionally useful: reviewers highlight shadow-AI discovery and the ability to enforce AI policy at the network layer as the standout strengths, while criticising documentation and a learning curve — the features are powerful but not always easy to use correctly.

This is now unambiguously an enterprise product. It fits large organisations — especially existing Cisco security customers — that are deploying LLM applications and agents at scale and need governance, red-teaming and runtime protection stitched into network infrastructure they already run. Startups and small teams looking for lightweight prompt-injection defence will find the packaging, procurement and complexity oversized, and should evaluate lighter-weight AI-security tools instead. As an editorial matter: treat 'Robust Intelligence' as a historical name; the product to evaluate in 2026 is Cisco AI Defense.

Summary of public user & expert reviews, compiled by RECATOOLS.

About this listing

Researched on
Published on

This entry was compiled from publicly available data including Robust Intelligence's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Robust Intelligence unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to Robust Intelligence directly →

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