SuperRed
SuperRed: A configurable framework for researchers evaluating attacks, agents, and security claims. Ranked #24 of 29 in AI Security Testing Tools by our editors (6.8/10); pricing: Free plan; best for researchers building composable evaluations.
At a glance
- Editor score6.8 / 10
- PricingFree plan
- Best forResearchers building composable evaluations
- Free planYes
- Paid fromFree
- Prompt injection testsYes
- Facts checked21 Sep 2026
Where it wins
- Composable attacker, target, and benchmark modules
- Prompt-injection, jailbreak, agent, and chatbot security testing
- Budgets, metrics, dashboards, persisted results, and web reports
Where it doesn't
- Self-hosted deployment requires technical ownership
- Integration coverage centers on LiteLLM-compatible endpoints
- Results depend on the selected modules, tasks, and security claims
Our verdict on SuperRed
SuperRed is an open-source framework for testing AI system security across chatbots, agents, and assistants. It is designed for red-teamers, AI system builders, and evaluators who need configurable evaluations rather than a fixed collection of tests. Its core structure separates attackers, systems under test, and security benchmarks into interchangeable modules, giving researchers control over how an evaluation is assembled.
The framework’s depth is in its composable evaluation model. Users can define threat models, trust boundaries, attacker access, security claims, custom evaluation tasks, and per-task attacker-model and cost budgets. It supports prompt-injection and jailbreak attack modules, agent and chatbot security testing, data-leakage testing, unsafe-output testing, and custom test cases. Parallel evaluation runs, metrics, persisted results, dashboards, and web reports help organize repeated assessments and communicate findings.
SuperRed is a strong fit for teams that want self-hosted, open-source control over evaluation design and need to compare attacks, targets, and benchmarks within a configurable workflow. Installation is presented through pip, and LiteLLM-compatible endpoints provide the stated integration path. The narrower ecosystem coverage may matter to teams seeking broad native platform connections or a packaged service. It is less suitable for buyers who want a managed testing product with a predefined testing scope; the framework’s output depends on the modules, tasks, threat models, budgets, and security claims selected.
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SuperRed pricing
SuperRed fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Prompt injection tests | Yes |
| Jailbreak tests | Yes |
| Data leakage tests | Yes |
| Unsafe output tests | Yes |
| Custom test cases | Yes |
| Deployment mode | Self_hosted |
| Deployment | Self-hosted |
| Support | Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1 integrations: LiteLLM-compatible endpoints |
| Pricing | Free plan |
| Website | rdi.berkeley.edu |
| Facts checked | 21 Sep 2026 |
SuperRed integrations
SuperRed lists 1 integrations on its own site.
- LiteLLM-compatible endpoints
Alternatives to SuperRed
- PromptGuardBroad AI security testing with flexible deployment and a low-cost paid entry tier.9.3
- Akto Agentic Red TeamingBroad AI security testing for enterprise agent and API security teams.9.1
- MindgardA broad AI risk platform spanning discovery, testing, protection, and remediation.9.0
See all SuperRed alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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