Tofu

About Tofu

Tofu is the AI fraud detection platform that protects companies from fake applicants and bad actors. Backed by leading investors, Tofu uses multi-signal analysis to identify sophisticated hiring threats - from AI-generated applications to state-sponsored actors like North Korean IT workers. Companies like Circle.com and Samsara trust Tofu to secure their hiring pipelines.

Our fraud detection capabilities include:

• AI Fraud Screening: Automatically analyzes every applicant across 40+ of signals - resume metadata, cross-network identity verification, and behavioral patterns - to surface risk before you ever review a resume.
• Risk Reports: Clear, recruiter-friendly reports that explain exactly why an applicant was flagged, with actionable recommendations for next steps.
• Cross-Network Detection: Identifies applicants who've applied to multiple companies using different identities, exposing coordinated fraud rings.
• Continuous Monitoring: Ongoing verification that catches threats that emerge after initial screening.
• Deepfake Detection: Detect deepfake usage on interviews and ensure the same candidate shows up to every interview.

Tofu protects your recruiting and hiring funnel with applicant fraud detection, interview deepfake detection, and proxy detection. Filter out fraud during application review, ensure teams don't advance deepfakes, and alert your interviewers when someone different shows up to an interview.

By integrating Tofu with Gem, you can protect your pipeline without disrupting your workflow:

• Automated screening: Tofu automatically analyzes new applicants as they enter Gem ATS, flagging high-risk candidates before they reach your team.
• Risk signals in-context: Fraud scores and risk indicators appear directly in Gem, so recruiters can make informed decisions without switching tools.
• Seamless sync: Tofu stays in sync with your Gem candidate data, ensuring every applicant is verified.