Enterprise AI Agents as the New Insider Threat: A Cost-Effectiveness Analysis of Autonomous Risk

Key Points

• This analysis aims to assess the cost-effectiveness of enterprise AI agents as potential insider threats.
• Conducted a cost-effectiveness analysis framework for evaluating risks.
• Examined the implications of enterprise AI agents on cybersecurity and organizational risk.
• Compared traditional risk management strategies with those involving AI agents.
• Identified that AI agents can introduce significant risks comparable to human insiders.
• Demonstrated substantial cost implications of autonomous risks on organizational security budgets.

Abstract