Enterprise AI spend is doubling year over year. Only 28% of use cases hit their ROI targets, and 42% of 2025 initiatives were scrapped. Governance is now the fastest-growing line item in the AI budget – and the deciding factor between agents that pay back and agents that burn. (Note: Read more
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
AI governance is frequently introduced to senior leadership as a compliance cost. That framing is both incomplete and counterproductive. Governance is simultaneously a cost reduction program (it reduces the probability and severity of expensive incidents), a sales enabler (it unlocks regulated-buyer markets and enterprise procurement), and a form of insurance Read more
The build-versus-buy question comes up in every technology investment cycle. For AI agent governance, the question is particularly fraught because the problem is novel enough that many organizations are uncertain what a good solution looks like – and because the temptation to build is strong when internal teams can see, Read more
Every technology governance debate eventually arrives at the same false binary: move fast, or be safe. Ship agents and accept the risk, or implement controls and accept the slowdown. The framing is wrong – but it is so pervasive that IBM’s Cost of a Data Breach 2025 found that governance 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
