Traditional static controls often fail to distinguish between legitimate team activity and malicious mass downloads, leaving organizations vulnerable to insider threats, corporate espionage and confidential information leaks. The rise of shadow AI has created new pathways for intellectual property theft, and the gradual accumulation of excessive access privileges increases the risk of attackers moving across systems within the network and of regulatory non-compliance. Solution: Using agentic AI, Cybervergent implemented real-time monitoring of the speed and volume of data access across its intellectual property channels. This solution automates governance and secures IP by continuously analysing the speed and volume of data movement. Key features include: – Source code/proprietary information exfiltration detection: Real-time monitoring distinguishes between normal developer activity and suspicious mass downloads, identifying potential insider threats. – Shadow AI leak prevention: Tracking data egress to public AI platforms prevents proprietary code and information from entering external training sets, safeguarding sensitive assets from exposure. – Managing access privileges: Identifying and responding to the use of expired or escalated permissions, which may signal account takeover or unauthorized movement across systems. – Regulatory compliance: Automating controls ensures that data is not transferred to unvetted AI tools, thereby reducing the risk of regulatory fines and legal liabilities.