Closing Identity Gaps Before AI Exploits Enterprise Risk

In-Depth Analysis

Modern enterprises have invested in IAM and Zero Trust, but gaps remain in legacy apps and siloed SaaS. The entry of AI exacerbates these issues, as AI agents require access to systems often outside centralized control.

**The Invisible Threat: Disconnected Apps & AI Amplification**

According to research from the Ponemon Institute, many applications within enterprises are disconnected from centralized identity systems. These "dark matter" applications operate outside standard governance, creating a large attack surface.

The rise of AI agents amplifies credential risks, as these agents reuse stale tokens and navigate paths that security teams can't see.

**How Agentic AI Amplifies Human Insider Risk**

Shadow AI, the use of AI apps without explicit approval, is an increasing challenge. Employees use personal GenAI accounts at work, leading to data loss, security challenges, and regulatory violations.

AI data leakage is another major challenge, with employees feeding sensitive data to AI tools unknowingly.

AI enables attackers to craft convincing phishing scams, and manipulated insiders fall victim to spear-phishing and deepfake scams.

**How to Mitigate AI-Exacerbated Insider Threat Risks**

To limit AI's impact on insider risks, consider the following:

1. **Policy and Governance:** Create AI acceptable use and security policies. 2. **Education and Awareness:** Teach employees about the risks of using AI. 3. **Phishing Prevention and Response:** Adopt tools to prevent phishing emails. 4. **AI Identity Management:** Incorporate AI agents into IAM programs. 5. **Visibility and Monitoring:** Monitor employee and AI agent activities. 6. **Use AI-Enabled Security:** Implement AI-enabled security technologies.

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FAQ

How does AI increase insider risk?

AI agents can exploit identity gaps, amplify credential risks, and automate malicious activities.

What is shadow AI?

Shadow AI is the use of AI apps or services within an organization without explicit approval or monitoring.

How can organizations mitigate AI-related insider risks?

Implement AI policies, educate employees, and use AI-enabled security tools.

Takeaways

AI is becoming a significant factor in insider risk.
Organizations must address identity gaps and implement AI security measures.
AI security requires a combination of policy, education, and technology.
Comprehensive NHI management can significantly enhance security and compliance.

Discussion

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Sources

[Webinar] How to Close Identity Gaps in 2026 Before AI Exploits Enterprise Risk Agentic AI's role in amplifying and creating insider risks How adaptable are Agentic AIs to changing regulations

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