As AI tools evolve from siloed chatbots to autonomous, hyperconnected systems, they create a vast new attack surface. Discover how to manage this risk by focusing on visibility, agency, and semantic security to protect your organization’s increasingly complex landscape of agentic AI systems.
Key takeaways
- Organizations have moved from siloed AI chatbots to autonomous, hyperconnected agents that can execute actions and access sensitive internal data stores, exponentially increasing cyber risk.
- A major security challenge arises because AI agents are often granted capabilities that far exceed their intended goals, creating an unnecessarily large and dangerous blast radius.
- Securing agentic AI requires moving beyond reactive breach detection to a proactive strategy grounded on exposure management and focused on total visibility, posture adjustment, and monitoring of semantic attack vectors.
Here’s a common occurrence in organizations these days: A team – finance, human resources, marketing – sets up an AI agent to perform a seemingly simple action, such as getting task details and emailing them out to the appropriate recipients.
But is this AI agent as harmless as it…
