Artificial Intelligence & Machine Learning
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Black Hat
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Lytical Ventures’ Taylor Margot on Autonomous Agents and New AI Defenses
Third-party risk in artificial intelligence is poised to expand as organizations adopt autonomous agents with unprecedented access to systems, data and decision-making. Taylor, partner at Lytical Ventures, compared the shift to discovering a new land mass in technology that requires entirely new defenses. Traditional human-centric controls may fail, making permissioning, monitoring and data control critical.
See Also: AI Agents Demand Scalable Identity Security Frameworks
Small and midsize businesses will likely depend on external vendors for agent development, increasing exposure to opaque, interconnected risk. Margot warned that without visibility into vendor systems, organizations can’t detect data misuse, model poisoning or unauthorized decision-making. The risks compound as agents act without human intervention, potentially altering budgets, campaigns or hiring processes on their own.
“The driving power behind any modern AI system is its ability to formulate context,” Margot said. Well-structured data orchestration reduces costs, enables effective auditing and makes it possible to identify anomalies. Without it, organizations lack the baseline to detect or address security threats.
In this video interview with Information Security Media Group, Margot also addressed:
- Why AI firewalls may be a misdirected defensive investment;
- The cost and security benefits of strong data orchestration;
- Challenges in determining where AI defenses are truly needed.
Margot focuses on capital formation, deal sourcing, limited partner relations, portfolio advising, diligence and board support. A former merger and acquisition attorney active in generative AI and entrepreneurship, he combines venture capital and M&A expertise.