Cybersecurity · sub-niche
Deepfake detection APIs.
Detect AI-generated voice + video + image for KYC, fraud, and content moderation.
Team-sized buildHot — multiple deals per month
Why now
Deepfake fraud incidents quadrupled YoY. KYC + content platforms have real budgets.
What the signal looks like
Repos with multi-modal detection models, KYC integration adapters, and continuous-evaluation harnesses.
Public examples
We name publicprojects + categories only — never founders we track inside the paid product. The buyer’s edge stays inside the product.
- Reality Defender shape
- Sensity AI
- Open-source deepfake detection libraries
What this displaces
A human reviewer + 'they look real' shrug.
Our build-vs-invest call
Hard category. The moat is the model + the dataset. Fund only with ML research depth. Evaluation matters more than marketing.
Common questions about this niche
- Pricing?
- Per-detection or per-API-call.
- Buyer?
- Fintech + content platforms + identity providers.
- What kills this?
- Foundation models including deepfake detection as a free feature.
More inside Cybersecurity
- LLM firewall tooling — WAF for AI agents — prompt injection blocking, output sanitization, policy enforcement at the API boundary.
- Supply chain attack detectors — Catch malicious npm / PyPI packages before they land in production.
- Secret rotation automation — Secrets that rotate themselves — across HashiCorp Vault, AWS Secrets Manager, GitHub, and your CI.
- OSS vulnerability graphs — The dependency graph for open source vulnerabilities, indexed for AI agents and humans.