Security News

Cybersecurity news aggregator

INFO News SC Media

Groundcover expands AI Observability for LLM interactions

  • What: Groundcover expands AI Observability for LLM interactions
  • Impact: Engineering and platform teams gain better visibility into AI system behavior
Read Full Article →

Security Operations , AI/ML Groundcover expands AI Observability for LLM interactions April 23, 2026 Share By SC Staff (Adobe Stock) Coverage from Silicon Angle indicates that Groundcover Ltd. has expanded its AI Observability capabilities, now offering native support for agentic AI systems compatible with Google Vertex AI. This update aims to provide engineering and platform teams with the ability to trace every large language model (LLM) interaction, enabling them to integrate observability into production environments at the pace of modern application development. The expansion addresses visibility gaps that arise as organizations rapidly integrate LLMs into production systems. Groundcover's approach captures the full context of LLM interactions, tracing how outputs are generated across complex systems. Key features include agent trace visibility, surfacing complete execution traces for model calls and tool invocations. Accurate cost attribution, including prompt caching, tracks token costs at the span level, accounting for complex API pricing. Native support for Google Vertex AI is also included, with observability data remaining within the customer's environment and requiring zero instrumentation. Source: Silicon Angle An In-Depth Guide to AI Get essential knowledge and practical strategies to use AI to better your security program. Learn More SC Staff Related Security Operations Exabeam enhances Agent Behavior Analytics for Google Cloud agents SC Staff April 23, 2026 The new features address the challenge of limited visibility into how autonomous agents operate, interact, and access data within enterprises. Application security AI-driven attacks target governments, cloud agents, supply chains OWASP GenAI Security Project Team April 23, 2026 OWASP: AI-driven attacks hit government, cloud and supply chains at scale. Threat Intelligence SOCs drowning in alerts despite tool investment SC Staff April 22, 2026 Cyber Press reports that security operations centers are confronting a structural bottleneck where the sheer volume of daily alerts has outstripped the capacity of analysts to manually assemble context, a friction that inflates dwell time and escalates incident costs regardless of how many detection tools an organization deploys. Get daily email updates SC Media's daily must-read of the most current and pressing daily news Business Email By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy . Subscribe Related Terms Blue Team Cold Warm Hot Disaster Recovery Site Countermeasure Cron Daemon Disaster Recovery Plan (DRP) You can skip this ad in 5 seconds

Share this article