For most enterprises today, the primary source of AI risk is not internal AI development. It is the AI embedded in the software they have already purchased. Microsoft 365 Copilot, Salesforce Einstein, ServiceNow’s AI features, HR platforms with automated screening, and financial tools with embedded prediction models all represent AI Read more
An AI coding agent that encounters a policy violation for the first time might need several attempts to understand and fix it. An AI coding agent that has seen the same violation three times before should not need to rediscover the solution. More broadly, an organization running AI agents across Read more
Git hooks and agent hooks catch problems at commit time and during active tool calls. But a complete governance picture for AI agents also needs visibility into the traffic flowing between the agent and the AI provider – the prompts being sent, the responses coming back, the tool calls being Read more
Your AI agents are already running – and so is the meter. Every prompt, every tool call, every retry costs real money. For most enterprises that have moved beyond single-agent experiments, that spend is growing fast. Some of it is unavoidable. But a meaningful slice – the part that comes Read more
