VolgaBlob releases Smart Monitor 6.1 with AI monitoring tools and stream correlation

VolgaBlob has released version 6.1 of its Smart Monitor platform, which provides analytics, IT monitoring, and SOC/SIEM capabilities. A key change is the addition of a stream correlator in the Core module, complementing the existing retrospective correlation; this allows real-time data processing and supports incident creation and active lists. The new AI Observability module collects and normalizes telemetry from AI infrastructure, monitoring GPU status, inference servers, token consumption, and service availability, enabling oversight of performance and costs. The AI Security module analyzes actions of local AI agents, LLM requests and responses, and permission snapshots to detect threats, with rules aligned with OWASP Top 10 for AI. An 'ML-studio' framework has been added, allowing use of built-in predictive models for machine learning tasks. The UBA module now uses a cluster-based orchestrator for faster parallel processing of profile policies. The 'Mayak' module gains a Maintenance Mode to suppress false alarms during planned works. The incident manager now supports SLA policies with customizable timing rules, and the task scheduler provides time-distributed scheduling to avoid peak loads. VolgaBlob's commercial director commented that the release extends the platform's coverage to the entire infrastructure, including AI.