IBM open-sources Praxis Policy Engine for AI security
In short: IBM has introduced the Praxis Policy Engine (PPE), an open-source tool now hosted in the CNCF Sandbox, designed to enforce security and access policies across AI traffic. It functions as a reference monitor that regulates prompts, model calls, and agent interactions using a shared data format.
This summary was generated automatically by AI from IBM Research's publication. It is our own text, not a copy of the original — facts, figures and quotes belong to the source, linked above and below.
What changed?
- 1Released Praxis Policy Engine (PPE) to CNCF Sandbox.
- 2Integrated policy enforcement for prompts, tool calls, and agent resources.
- 3Added support for OCSF audit logging for policy decisions.
Why it matters
As your company builds complex agentic systems, managing security at the gateway layer becomes vital. PPE provides a consistent way to handle authorization, token accounting, and audit trails without modifying the underlying model-serving infrastructure.
What it means for AI agents and contact centers
For your work on AI agents and contact center platforms, this tool provides a potential standardized baseline for zero-trust authorization. Compare its performance and integration overhead against your current custom-built API gateways, specifically regarding latency impact on real-time voice calls and agent tool-calling security.
🧪 Worth Testing
It is worth testing to see if PPE can simplify your stack by standardizing how you manage access control and audit logs across various AI models and tools.
Sources
- IBM ResearchOfficialPrimary sourceOriginal article →„Building policy enforcement into the AI stack with Praxis“9 Nov 2026, 17:30
- Published by source
- 9 Nov 2026, 17:30
- Found by our system
- 9 Nov 2026, 17:51
- Summary generated
- 9 Nov 2026, 17:51
This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy