UEBA

Volcano Engine Releases Intelligent Agent Security Capability Map for Enterprise AI Deployments

Volcano Engine has published the Intelligent Agent Security Capability Map based on ByteDance internal AI security governance practices. The framework outlines 10 core capability dimensions and 60 technical elements covering Workflow agents, office agents, and AI Coding agents. It addresses the surge in security risks caused by large-scale deployment of heterogeneous AI agents into enterprise production and development systems. The map divides implementation into three progressive stages: L1 basic AI security protection, L2 fine-grained control, and L3 continuous security operations. Each stage maps specific controls including compliance admission, AI-BOM asset management, runtime monitoring, identity and access controls, and confidential computing for model inference. The release provides enterprises with a practical path from initial safe onboarding to sustainable, auditable AI agent governance.

AI in Cybersecurity: Where It Delivers Real Value and Where It Remains Marketing Hype

The article examines how artificial intelligence is applied in information security, distinguishing genuine technological capabilities from vendor marketing claims. It explains the differences between classical correlation rules in SIEM systems, machine learning models for anomaly detection, and generative AI for analyst assistance. Real-world examples from Alfa-Bank highlight both successes in anti-fraud and UEBA systems and limitations when context or business understanding is required. The piece warns against inflated expectations that AI alone can replace SOC analysts or automatically investigate complex incidents. It concludes by identifying areas where AI genuinely reduces noise and processes large data volumes effectively.