Deeper AI integration in the framework core, modern authentication via OAuth / OIDC and WebAuthn passkeys driven from the system browser, and a few smaller additions.
A major GitHub breach showed how extension poisoning, Node ecosystem weaknesses, and insecure developer workstations can bypass traditional security defenses.
A practical checklist for evaluating AI data readiness, covering data quality, governance, lineage, access controls, retrieval systems, and ongoing monitoring.
LLMs can quickly generate web application code, but AI-written code may contain security vulnerabilities. This article reviews testing methods for LLM systems.
Three structural shifts enterprise data security teams should make in 2026, based on verifiable data and a decade of experience building protection products.
Blockchain and data streaming are bringing unprecedented levels of security, transparency, and real-time mechanisms to move data across the digital world.
Learn how Conversational Risk Accumulation (CRA) helps detect session-level risks in long AI chats using telemetry, drift tracking, and soft guardrails.
What did the agent do? That’s a solved problem. Why did it do it? That’s not. Getting this right determines whether anyone trusts it with work that matters.