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Spec27 icon

Spec27

Automates validation for AI agents using specification-based, black-box testing to ensure robustness, regressions, and security, supporting both custom and third-party agents even without SDK or code access, and delivering scalable, repeatable test coverage.

Robustness Evaluations

Cost / License

  • Free
  • Proprietary

Platforms

  • Online  Web-based product. Free account available to get started and try demo examples.
  • Software as a Service (SaaS)  Hosted SaaS with UK/EU servers. GDPR compliant. Enterprise private-cloud deployment is planned.
Robustness Specifications
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Spec27 News & Activities

Highlights All activities

Recent activities

  • Danilo_Venom updated Spec27
  • jovanca reviewed Spec27  

    combining red-team and robustness is pretty cool

  • jovanca liked Spec27
  • jovanca added Spec27

Spec27 information

  • Developed by

    GB flagSafe Intelligence
  • Licensing

    Proprietary and Free product.
  • Pricing

    Subscription.
  • Alternatives

    0 alternatives listed
  • Supported Languages

    • English

Our users have written 1 comments and reviews about Spec27, and it has gotten 1 likes

Spec27 was added to AlternativeTo by Jovanca Garnadi on and this page was last updated . Spec27 is sometimes referred to as Spec27 AI

Comments and Reviews

   
Jovanca Garnadi
0

combining red-team and robustness is pretty cool

What is Spec27?

Spec27 helps teams validate AI agents with automated, spec-driven testing. Instead of relying on manual spot checks or brittle evaluation workflows, teams define expected behaviour once and use that specification to generate and run broader validation across robustness, regressions, and adversarial scenarios. Spec27 is designed for both systems you build and systems you buy, including third-party vendor agents where you do not have SDK or code-level access. That makes it useful for teams that need a more consistent, scalable way to test AI before and after deployment. The product is built around a simple idea: validation should be repeatable, independent, and durable enough to survive prompt changes, model updates, and vendor changes. Internally, your positioning work frames this as an automated AI specification and testing approach, with black-box validation and combined robustness and security testing as core differentiators.

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