# The state of AI for security: Measuring what matters most for building trust

DevFeed: [The state of AI for security: Measuring what matters most for building trust](<https://devfeed.tech/articles/the-state-of-ai-for-security-measuring-what-matters-most-for-building-trust-4691.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/security/the-state-of-ai-for-security-measuring-what-matters-most-for-building-trust/>)

Author: Anshumali Shrivastava

Published: 2026-09-09T19:09:14Z

Content type: article

Language: en

Sources: [AWS Security Blog](<https://devfeed.tech/sources/aws-security-blog.md>)

Topics: [Cybersecurity](<https://devfeed.tech/topics/cybersecurity.md>), [Vulnerabilities](<https://devfeed.tech/topics/vulnerabilities.md>), [dataset](<https://devfeed.tech/topics/dataset.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [security](<https://devfeed.tech/tags/security.md>), [security-blog](<https://devfeed.tech/tags/security-blog.md>), [security-identity-compliance](<https://devfeed.tech/tags/security-identity-compliance.md>), [thought-leadership](<https://devfeed.tech/tags/thought-leadership.md>), [vulnerability](<https://devfeed.tech/tags/vulnerability.md>), [vulnerability-management](<https://devfeed.tech/tags/vulnerability-management.md>)

## AI overview

The article introduces Deception Benchmark, a benchmark for evaluating whether AI models can distinguish real software vulnerabilities from safe code that appears risky. It argues that reducing false alarms is central to making AI security tools trustworthy and compares this focus with existing security evaluations.

## Source excerpt

Security teams are starting to actively use AI for security work, including vulnerability triage, penetration testing, threat modeling, incident response, and code review. The promise is speed, but a security tool that moves fast and raises too many false alarms doesn't save time. Engineers spend time on false alarms, on-call is noisier, and teams distrust [...]