AI in Cybersecurity
Predict and TensorOps co-hosted an evening in Tel Aviv on what AI actually changes for security teams. Gad Benram (TensorOps) opened on the state of AI in CyberSec, Guy Eshet (JFrog) brought the product view, and Niki Dvir (Predict) closed with what shipping it in production looks like. The conversations ran well past the last talk.
- TALK
Detection: from raw organizational data to signal an agent can use
Turning raw, messy organizational data into something an agent can actually use without making mistakes — security's classic noise-to-signal problem.
- TALK
Remediation: AI agents as an on-demand force of defender bots
Using AI agents as an on-demand force of defender bots during a crisis, and the real architecture work — model tuning, memory, verification, production guardrails — it takes to deploy them safely.
- TALK
Securing the agent supply chain
Governing what AI coding agents can access and do inside an enterprise, before they become the least-monitored part of your software supply chain.
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