EnforceAuth Open-Sources Zift — A Code Scanner Built to Close the Authorization Gap in Enterprise and AI Systems

Why It Matters

By surfacing concealed authorization checks, Zift enables faster compliance reporting and centralized policy enforcement, addressing a critical security blind spot for regulated enterprises.

Key Takeaways

• Zift scans codebases to expose hidden authorization decisions
• Benchmark found only 20% of decisions used a policy engine
• Tool outputs OPA‑ready Rego stubs for immediate enforcement
• Open‑source Apache 2.0 license removes procurement barriers
• Externalization metric helps regulators assess compliance quickly

Pulse Analysis

The rise of AI‑driven services has amplified the so‑called "authorization gap"—the disconnect between authentication, which is often centralized, and the myriad runtime checks embedded in application code. Zift tackles this gap by parsing source files in multiple languages, identifying role‑based, attribute‑rich, and custom policy calls, and translating them into Rego snippets compatible with Open Policy Agent. This automated discovery replaces labor‑intensive code archaeology, delivering a quantifiable externalization percentage that security teams can track over time.

Regulators such as the SEC, GDPR authorities, and the upcoming EU AI Act increasingly demand auditable evidence of who can perform high‑risk actions. Traditional manual reviews struggle to meet these timelines, often taking weeks to map authorization logic across microservices. Zift’s ability to produce a single, verifiable metric and generate ready‑to‑deploy policy stubs shortens audit cycles dramatically, allowing organizations to respond to inquiries within minutes rather than weeks. The open‑source nature also encourages community contributions, fostering a shared baseline of externalization rates across industries.

Beyond compliance, Zift reinforces the broader shift toward policy‑as‑code architectures championed by the Open Policy Agent ecosystem. By emitting Rego policies directly from discovered checks, the tool enables a seamless migration from hard‑coded guards to centralized, version‑controlled policy engines. Enterprises can thus achieve consistent enforcement, reduce code duplication, and adapt quickly to evolving business rules. As AI agents proliferate and the non‑human‑to‑human identity ratio climbs, tools like Zift become essential for maintaining secure, auditable, and scalable authorization across modern software stacks.