# AI Security Governance: A Practical Framework for 2026

DevFeed: [AI Security Governance: A Practical Framework for 2026](<https://devfeed.tech/articles/ai-security-governance-a-practical-framework-for-2026-31417.md>)

Original publisher: [Read original article](<https://www.harness.io/blog/ai-security-governance>)

Author: Christine Ferrusi Ross

Published: 2026-09-15T00:00:00Z

Content type: article

Language: en

Sources: [Harness Blog](<https://devfeed.tech/sources/harness-blog.md>)

Topics: [Security](<https://devfeed.tech/topics/security.md>), [Securing AI](<https://devfeed.tech/topics/securing-ai.md>), [ai-governance](<https://devfeed.tech/topics/ai-governance.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>)

Tags: [2026](<https://devfeed.tech/tags/2026.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-security](<https://devfeed.tech/tags/ai-security.md>), [governance](<https://devfeed.tech/tags/governance.md>), [practical](<https://devfeed.tech/tags/practical.md>), [security](<https://devfeed.tech/tags/security.md>)

## AI overview

This article presents AI security governance as a structured program built on four pillars: policy, risk assessment, monitoring and audit, and accountability. It explains how these controls address untracked AI systems, unclear ownership, and missing records of automated actions, and discusses regulatory and organizational pressures driving adoption.

## Source excerpt

Build an AI security governance framework covering policy, risk assessment, monitoring, and accountability, plus a risk register template to copy today. | Blog