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Konstantin Berlin
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
In our previous Dynamic AI Security blog and the underlying CAMLIS 2025 paper, we described a release platform built to move new protections into production without disrupting customer workflows. Such a platform is a requirement for security......
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'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.....
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..