# SecurityScorecard tests AI on third-party risk

> AI models face third-party risk tests in SecurityScorecard's new benchmark.
- Title: SecurityScorecard tests AI on third-party risk · SiliconANGLE
- Summary: AI models face third-party risk tests in SecurityScorecard's new benchmark. SecurityScorecard released an open benchmark to test AI models' ability to handle…
- Keywords: breaking, securityscorecard, third-party risk, vendor risk, model security, benchmark, open source, attack resistance, technology, enterprise, tests, third-party
- Source: SiliconANGLE — https://siliconangle.com/2026/10/29/securityscorecard-benchmark-tests-ai-on-third-party-risk-work-and-resistance-to-attack
- Author: Duncan Riley
- Published: 2026-10-29T13:00:36+00:00
- Read time: 1 min
- Topics: breaking, securityscorecard, ai, third-party risk, vendor risk, model security, benchmark, open source, attack resistance, technology, enterprise
## SecurityScorecard launches TPRM Benchmark
SecurityScorecard Inc. released an open benchmark to test whether artificial intelligence models can handle third-party risk management work without being turned against the companies using them.
## TPRM Benchmark for vendor risk programs
The benchmark is built for vendor risk programs where models interpret security telemetry and decide which exposures matter.
## Model capability tasks
Tasks cover disciplines like exposure triage and fourth-party technology risk, starting with SecurityScorecard's vendor-risk telemetry.
## Attack resistance testing
The Model Security suite tests models with prompt injection, jailbreaks and other techniques, grading from A to F.
## Deceptive vendor self-attestations
Some tasks include deceptive vendor self-attestations that contradict underlying telemetry to test model accuracy.
## Performance varies by model type
Early runs showed open-weight models are closing the gap with frontier models on supply chain security tasks.
## Open-source framework
SecurityScorecard has open-sourced the framework for participants to run their own models and submit results to a public leaderboard.
## Model security ratings
Models get autonomy readiness levels from L0 to L4 based on performance across repeated trials with confidence intervals.
## Key takeaway

SecurityScorecard released an open benchmark to test AI models' ability to handle third-party risk without being turned against companies.