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Konstantin Berlin

AI Detection Architect

AI Software & Platform

Dr. Konstantin Berlin is an AI Detection Architect at Cisco, where he leads the detection architecture for AI Defense, the company's runtime protection and validation product against prompt injection, jailbreaks, and adversarial attacks on LLMs and AI agents. He joined Cisco through the Robust Intelligence acquisition, where he was principal architect of the AI firewall's data platform, automatic labeling pipeline, and SaaS detection engine that the current product is built on. Before that he spent nearly a decade at Invincea and Sophos developing ML methods for security, deployed across 100M+ endpoints.

Articles

Agents Securing Agents: The Agents Powering Policy Studio

4 min read

At this year’s Cisco Live Las Vegas we introduced Policy Studio, an AI assistant in Cisco AI Defense that guides users through building custom policies for adaptive guardrails. The assistant interactively walks the user through the process..........

Cisco AI Defense Policy Studio: Turning Unwritten Policy into Adaptive AI Guardrails

5 min read

Cisco's Integrated AI Security and Safety Framework and our recent work on defining taxonomy constitutions focused on defining and detecting common risks shared among enterprises when deploying AI. However, while most enterprises share a lot of.....

Improving Labeling Consistency with Detailed Constitutional Definitions and AI-Driven Evaluation

5 min read

Enterprises need to know exactly what their systems detect, and that definition must stay consistent over time. Writing a definition precise enough to settle every hard case has long been impractical because human annotators cannot hold a document..