organization
Technical AI safety research
| Foresight Institute | $150,000 | 100% | 1 |
| Date ↓ | Funder | Via | Amount | Cause | Source | Purpose |
|---|---|---|---|---|---|---|
| Jul 17, 2026 | Foresight Institute | ~$150,000* | Evals, Security | foresight | Audit-to-Patch Pipelines for Secure LLM Agent Systems AI agents can fail in repeatable, high-impact ways that only surface after deployment. Yue Zhao from USC’s FORTIS Lab is building an audit-to-patch pipeline that detects and audits security risks in LLM agent code and configuration, then proposes safe, reviewable patches with automated checks – stopping safety failures before they ship and reducing regressions… — AI for Science & Safety Nodes — 2026 cohort |
* Estimated typical grant size; Foresight Institute did not report grant-level amounts.