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AI Security 2027: Predictions for the Year Ahead
What will change as AI adoption accelerates, agents proliferate, and enterprises enter a new phase of AI security.
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What Will Define AI Security in 2027?
AI is evolving too quickly for another list of predictions about what the technology might someday do.
Instead, we’re looking at what comes next for security.
Join Bobi Gilburd, CTO and Co-Founder of Lumia Security, and Eyal Eliakim, Head of AI at Team8, as they share their predictions for the shifts that will define AI security in 2027, drawing on emerging attack patterns, changes in enterprise AI architecture, and what they’re seeing across the market and in the field.
Eyal EliakimHead of AI, Team8
Bobi GilburdCo-Founder & CTO
By attending this session, leaders will learn:
Why AI will become an attack target. As agents proliferate, attackers will increasingly target AI systems themselves, creating new attack techniques and accelerating how quickly sophisticated attacks reach the broader market.
Why agent governance will move to the network. As more agents execute in vendor-hosted cloud environments, organizations will need a different approach to governing interactions and agent actions beyond the endpoint.
Why AI will redefine the insider threat. Personal accounts, unsanctioned tools, cloud agents, and employees looking for faster ways to work will create a growing class of exposure without malicious intent.
Why AI governance will expand across the enterprise. Security will remain central to enforcement, but business teams will increasingly help define what acceptable AI usage looks like for their functions.
What security leaders should prepare for now. The architectural, operational, and governance decisions organizations will need to make as these changes take shape in 2027.