ArmorCode has unveiled AI Exposure Management (AIEM), a new addition to its unified exposure management suite, delivered through the ArmorCode Agentic AI Platform. With AI adoption accelerating across applications, developer environments, SaaS tools, and cloud infrastructure, enterprises are facing growing governance and security challenges. Therefore, ArmorCode introduced AIEM to provide organizations with centralized visibility, enforceable governance, and clear accountability across heterogeneous AI environments.

As businesses rapidly integrate generative AI tools and intelligent agents into daily operations, traditional security frameworks are struggling to keep pace. In many cases, organizations lack a centralized system to track where AI tools are deployed, who approved them, and who owns the associated risk. Consequently, shadow AI has become a rising concern for security leaders and boards alike.

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According to Gartner, “32% of IT workers using generative AI tools at work say they keep it hidden, hindering discovery from cybersecurity teams.” This statistic highlights the urgent need for stronger oversight and auditable governance mechanisms that can keep innovation aligned with security expectations.

To address these gaps, ArmorCode AI Exposure Management continuously ingests AI usage data and governance signals from across an organization’s existing security and IT ecosystems. By doing so, it creates a comprehensive inventory of enterprise AI activity. More importantly, the platform transforms raw risk detections into structured, governed decisions with built-in ownership tracking. As a result, enterprises can accelerate AI innovation while maintaining defensible and scalable governance.

“Effective AI governance goes beyond detection,“ said Paolo del Mundo, Director of Application Security, The Motley Fool. “Organizations need a centralized layer that aggregates signals across models, agents, and integrations, prioritizes risk, assigns ownership, and tracks remediation. AI Exposure Management enables scalable, policy-driven oversight.”

Powered by the ArmorCode Agentic AI Platform and supported by multiple agentic workflows, AIEM delivers comprehensive risk identification, remediation, and reporting capabilities. Additionally, it integrates with more than 350 out-of-the-box security and IT tools, enabling organizations to consolidate critical insights into a single operational layer. This unified approach ensures that AI-related risks do not remain siloed across disparate systems.

“AI adoption is moving faster than most security and governance frameworks were designed to handle,” said Nikhil Gupta, CEO and Founder of ArmorCode. “Security leaders need more than visibility. They need a system that assigns ownership, enforces policies and produces board-ready evidence of AI risk management. ArmorCode AI Exposure Management gives enterprises the confidence to move quickly on AI, while maintaining clear control and accountability.”

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Key capabilities of ArmorCode AIEM further reinforce its value proposition. First, it minimizes shadow AI by delivering complete enterprise visibility across applications, codebases, SaaS platforms, APIs, models, and agents. Security teams gain a single authoritative inventory that exposes unmanaged AI deployments.

Second, the platform enables faster AI adoption through automated, policy-driven governance workflows. Instead of relying on manual approval processes that slow innovation, organizations can implement AI tools rapidly while ensuring compliance with defined risk thresholds.

Third, AIEM establishes clear ownership and accountability for AI usage. By assigning responsibility for ongoing risk management, it eliminates ambiguity and ensures that every AI deployment has a defined steward.

Moreover, the platform converts AI risk signals from tools such as SASE, EDR, and firewall telemetry into actionable governance events. Every approval, reassessment, or enforcement action is tracked, ensuring that meaningful risk signals lead to documented follow-through. Finally, ArmorCode AIEM delivers board-ready dashboards and real-time reports that provide defensible evidence of AI governance for auditors and regulators.

Available immediately on the ArmorCode Agentic AI Platform, AI Exposure Management positions enterprises to scale AI innovation responsibly. By combining centralized visibility, policy enforcement, and accountable governance, ArmorCode aims to help organizations eliminate shadow AI risk while confidently accelerating AI adoption.

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