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Darkhunt AI Security vs RedFang

Darkhunt AI Security

darkhunt.ai

RedFang

redfang.org

Side by side

FigureDarkhunt AI SecurityRedFang
Price fromFree$19/mo
Free planYesYes
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYes—
Plans published32
Spec score · AI Red Teaming Tools7.9 (#8)7.5 (#18)
PurposeDarkhunt continuously tests, monitors, and protects AI agents in production.RedFang describes itself as an AI red-team scanner for indie builders that scans AI agents, GitHub repositories, and app URLs.

Plans

Darkhunt AI Security

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

Darkhunt AI Security pricing →

RedFang

  • Free previewFree
  • Full report$19 a month

RedFang 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

RedFang

RedFang is a cloud AI red-team scanner aimed at indie builders. It scans AI agents, GitHub repositories and application URLs, including listed customer-service chatbot targets. Before scanning, it requires a TXT-record or file-upload challenge to verify target ownership. RedFang says scans take five minutes and return grades from A+ to F. Seven v1 categories cover direct prompt injection, tool misuse, sensitive data leakage, output-as-attack-vector, agent overreach, denial-of-wallet and system-prompt extraction. Repository scans look for exposed keys, broken authentication and AI-introduced bugs. The stated methodology follows the OWASP LLM Top 10 threat model and tests 12 known direct prompt-injection patterns per scan. Reports can include plain-language findings, the successful prompt, a curl reproduction command, fix code and a retest. PDF and HTML exports are listed. Free preview costs nothing; Full report costs $19 a month. A shareable badge shows the latest grade, with weekly, daily or continuous scan cadence by tier.

Visit redfang.org