A significant security vulnerability exists in enterprise AI deployments where multiple agents share a single API key. If one agent is compromised, the attacker gains access to the accumulated permissions of all agents tied to that key, with identifying the culprit becoming nearly impossible due to a lack of granular logging. A recent survey revealed that sixty-nine percent of enterprises utilize credential sharing for their AI agents, highlighting a widespread security gap. This alarming statistic explains recent multi-billion dollar acquisitions by major cybersecurity firms like Palo Alto Networks, CrowdStrike, and Cisco, all targeting this critical layer of agent security. Palo Alto Networks acquired CyberArk for $21.1 billion, while CrowdStrike bought SGNL for $740 million, integrating its runtime authorization capabilities. Cisco is also acquiring non-human identity specialist Astrix Security for an estimated $400 million. The survey also found that over half of enterprises have experienced an agent security incident or a near-miss, with risk increasing for larger organizations. While enterprises generally rate their current agent security tooling highly, they express less confidence in their defenses keeping pace with AI-powered attackers. Consequently, a majority plan to adopt, add, or replace agent security tooling within the next twelve months. Security directors are advised to inventory agent credentials, eliminate shared and borrowed identities, and sandbox the riskiest agents to mitigate these risks. Matching security budgets to the incident rates is also crucial, as current funding often does not reflect the exposure. The fundamental question for leadership is understanding the scope of damage if an agent is compromised, a question poorly answered by current credential-sharing practices.