Learning from the Past: Safe Deployment of AI Agents
Today's rapid deployment of AI agents can be compared to another critical moment in high-tech history: the rollout of Microsoft SQL Server in the early 2000s. The "Slammer worm" incident was a fast-spreading computer worm that exploited a buffer overflow in Microsoft SQL Server 2000, which ultimately caused massive internet slowdowns, router crashes, and denial-of-service issues across networks globally. The memorable even should serve as a cautionary tale of what can go wrong when new technologies are released without the proper safeguards in place. Enter Agentic AI.
DOWNLOAD NOW: Accelerate Secure Adoption of Agentic AI
IANS Faculty Aaron Turner explains, in a recent video, that similar to how the spread of database servers led to unexpected consequences in 2003, the current proliferation of AI Agents and MCP servers brings both great potential and significant risk to enterprise organizations.
Watch the full video here:
Security leaders must communicate the need for enterprise organizations to deploy these technologies in controlled, test environments—ensuring that risky experimentation happens safely, away from vulnerable desktops and endpoints. By learning from the past and implementing rigorous development and monitoring practices, organizations can harness the power of AI Agents while minimizing potential disruptions to their businesses.
READ MORE: Is Your Identity Framework Ready for Agentic AI?
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