Jumpmind’s CIRCUIT is an open-source framework that audits autonomous AI decisions and turn “black box” algorithms into inspectable security controls.
On 15 June 2026, Jumpmind CISO Eric Zielinski unveiled CIRCUIT, an open-source framework for AI interpretability risk management, at the 38th Annual FIRST Conference (FIRSTCON26) in Denver, Colorado.
The framework addresses a critical security vulnerability: modern AI tools make autonomous infrastructure decisions—such as triaging alerts and evaluating access requests—without transparently explaining their underlying logic, creating unauditable security controls.
The framework reduces an AI model’s active weights to a highly restricted, sparse subset. The remaining active connections form small, inspectable circuits (or identifiable algorithms). Rather than relying blindly on surface-level validation accuracy metrics, CIRCUIT shifts the baseline to auditing the model’s foundational control logic. It provides practical engineering blueprints to map interpretability into existing AI threat models, build circuit-informed red-teaming workflows, and establish KPIs for circuit stability.
Joined Jumpmind in January 2026 with over 20 years of cybersecurity experience, Zielinski previously served as Director of AI and Cloud Security at OCC (The Options Clearing Corporation), specializing in regulatory compliance for generative AI. A cloud-native retail technology provider specializing in mobile Point of Sale (POS) and inventory orchestration platforms across thousands of global physical storefronts.
