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Darkhunt AI Security vs PromptRedTeam

Darkhunt AI Security

darkhunt.ai

PromptRedTeam

promptredteam.com

Side by side

FigureDarkhunt AI SecurityPromptRedTeam
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published31
Spec score · AI Red Teaming Tools7.9 (#8)7.8 (#11)
PurposeDarkhunt continuously tests, monitors, and protects AI agents in production.PromptRedTeam scans user inputs for prompt injection before they reach an LLM.

Plans

Darkhunt AI Security

  • FreeFree
  • Custom AnnualPrice not published
  • Pay as you goPriced on request

Darkhunt AI Security pricing →

PromptRedTeam

  • Open sourceFree

PromptRedTeam pricing →

In their own words

Darkhunt AI Security

Darkhunt AI Security continuously tests, monitors, and protects AI agents in production. It discovers models, agents, and MCP servers across SaaS, cloud, endpoints, and code, including sanctioned and shadow AI. Its observability tools log and replay activity, making agent prompts, responses, and tool calls searchable. Automated red teaming tests agents with their actual tools, permissions, and data access for prompt injection, jailbreaks, and data exfiltration. The platform also checks decision integrity, including manipulated figures, suppressed alerts, RAG poisoning, and confident hallucinations, and traces answers to source data points. Findings can become inline runtime policies, while an MCP gateway proxies requests and responses. Listed integrations include OpenAI, Anthropic, Azure, AWS Bedrock, Gemini, and self-hosted systems. Deployment options are cloud, hybrid, and self-hosted. Findings or controls can map to several named frameworks, including the EU AI Act and NIST AI RMF. The free plan costs nothing and includes full platform access, a free credit allotment, and community support. Paid options have unlisted prices.

Visit darkhunt.ai

PromptRedTeam

PromptRedTeam is an open-source tool that scans user input before it reaches a large language model. It detects direct injection, role manipulation, zero-width injection, delimiter injection, and encoded payloads. Direct-injection checks examine override keywords, conflicting instructions, and prompt structure. Role checks cover known jailbreak patterns, role-play scenarios, and bypass attempts. The tool detects hidden zero-width characters, normalizes Unicode, analyzes Base64 and other encodings, and can decode suspicious text before scanning again. Delimiter checks look for context-breaking markers, Markdown abuse, and structural manipulation. Applications can call the hosted API with a POST request to https://api.promptredteam.com/test, or run PromptRedTeam through self-hosted deployment. The live tester accepts up to 1,000 characters and allows 10 requests per minute; self-hosting provides unlimited usage. Python, JavaScript, and cURL examples are provided. The suggested workflow is to scan incoming text, then block detected threats or log them for review. PromptRedTeam is available through web, API, and self-hosted platforms, with automated detection and hybrid deployment. It is released under the MIT License.

Visit promptredteam.com