Overview
Research summary
DeepTeam is a Python framework for evaluating security and safety weaknesses in language-model applications. It generates attacks against a supplied target application and assesses vulnerabilities such as prompt injection, sensitive-data exposure, and unsafe behavior. Its testing workflow includes single-turn and multi-turn attacks, and it also provides guardrails for deployed applications. DeepTeam builds on DeepEval but has a distinct package and repository dedicated to adversarial testing. The Apache-2.0 code can run locally, with optional integration into Confident AI.
Repository summary
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services available
The provider offers paid products or services. Free options may also be available.
Commercial offering checked 2026-10-02.
Licence scope
Implementation
Recorded implementation details and interfaces for DeepTeam.
Implementation details
Python red-teaming framework and guardrail library
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- Unavailable
- Open issues
- Unavailable
- Last push
- Unavailable
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://trydeepteam.com Project page · Research reference · Commercial offering evidence
- https://github.com/confident-ai/deepteam Linked repository · Research reference
- https://github.com/confident-ai/deepteam/blob/main/README.md Research reference
- https://github.com/confident-ai/deepteam/blob/main/LICENSE.md Research reference
- https://www.confident-ai.com/pricing Commercial offering evidence
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- Discorddiscord.gg/3SEyvpgu2fOfficial
Related tools
Editorially linked entries to explore alongside DeepTeam. This is not a ranking.
