SuperRed review
A configurable framework for researchers evaluating attacks, agents, and security claims.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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.
SuperRed pros and cons
- 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
SuperRed fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update