Enterprise Security in the Agentic AI Era

Mindgard CART — Continuous Automated Red Teaming

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Mindgard CART — Continuous Automated Red Teaming

Commercial Continuous Automated Red Teaming (CART) product line that simulates adversarial attacks against AI systems on a 24/7 cadence. The wiki’s CMM cites Mindgard CART as the “continuous CART” attack category in the D7 L4 four-quadrant red-team coverage requirement, explicitly marking it as the commercial slot (“Mindgard or equivalent”).

What CART means

“Continuous automated red teaming (CART) is a dynamic method that simulates threats 24/7.” — Mindgard blog “Unlike traditional red teaming, which occurs periodically, CART operates 24/7, reducing human error, enabling scalability, and allowing immediate threat mitigation.” — Mindgard blog

Term provenance

Mindgard is the marketing originator of the “CART” acronym. The wiki treats it as a vendor term until/unless an analyst or framework adopts it independently. Analogous concept (managed continuous attack simulation) exists at other vendors and in academic literature; the specific three-letter acronym is Mindgard’s.

Product line

Three products under the Mindgard brand, with CART as the methodology framing:

ProductRole
AI ReconDiscovery — what AI assets exist, what attack surface they expose
AI AssessmentFind/fix — periodic and continuous attack simulation
AI Runtime ProtectionReal-time defense — runtime intervention

Coverage scope (advertised)

  • AI chatbots, AI applications, AI infrastructure, agentic workflows
  • LLMs and image-generation AI explicitly named
  • Attack categories named in marketing: prompt injection, hallucination testing, misuse prevention; plus traditional “phishing, lateral movement, data exfiltration” framing
  • Ecosystem integrations: OpenAI, Anthropic, AWS, Docker

What is NOT public

A peer reviewer should know what the wiki cannot verify:

  • Specific attack-library inventory — gated behind sales
  • Control / probe counts — not publicly enumerated
  • Pricing tiers — book-a-demo only
  • On-prem option — not documented (SaaS appears to be the default)

The wiki should not invent these numbers.

Company

  • Founders: Dr. Peter Garraghan (CEO/CTO), Dr. Neeraj Suri (CSO), Steve Street (CRO/COO)
  • Origin: spinout from Lancaster University (UK), 2022
  • Funding (Dec 2024): $8M round led by .406 Ventures with Atlantic Bridge, WillowTree, IQ Capital, Lakestar
  • Recognition (2025–2026): named in Gartner Emerging Tech 2026 — Top-Funded Startups in AI TRiSM (Agentic AI); 2025 Cybersecurity Excellence Award (Best AI Security Solution); Garraghan named 2025 Cybersecurity Innovator of the Year

How the wiki uses it

  • CMM D7 L4 — continuous CART red-team category, commercial slot
  • Measurement Protocol — one of four required tools at L4 (“Mindgard or equivalent”)
  • Closes the 24/7 / SaaS-managed seam that PyRIT (DIY orchestration), Garak (point-in-time scan) and Promptfoo (CI-trigger-only) don’t cover by default

Caveats

  • Vendor-published “best AI red-team tools” comparisons — useful but partisan; cross-check with independent sources.
  • CART acronym is vendor-coined — the wiki should keep flagging this until a framework body picks it up (similar discipline to Insight Partners’s “UEBA for Agents”).
  • “Mindgard or equivalent” in the CMM is deliberate — the L4 requirement is the four-quadrant coverage, not Mindgard specifically. Equivalents to evaluate: AI-Driven Pen Testing services from large security platforms, Lakera Red, Knostic for coding-agent specific, HiddenLayer.

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