For many years, software procurement followed a familiar pattern. Buyers wanted to understand how a product worked, whether it integrated with their existing systems, and what security controls were in place.
AI is changing that conversation. At Drata and RAIDS we’re seeing procurement teams ask how an AI product works and how it's governed after deployment; buyers increasingly want to know how those systems are governed once they're live, not just what they can do.
Recent headlines around Anthropic's Mythos model, which reportedly identified thousands of high-severity zero-day vulnerabilities, have raised concerns among enterprises, regulators, and policymakers alike. AI systems are becoming more capable, more autonomous, and more deeply embedded in business operations. Organizations are asking tougher questions about how these systems are governed in production.
Those questions are showing up in procurement. That's why we teamed up with RAIDS to look at how AI safety is turning into a sales enabler, and what that means for vendors who want to close enterprise deals.
Accountability Is Driving the Shift
This shift reflects a simple reality: AI is no longer experimental or a problem for later. Whether organizations encourage it or not, AI is generating content, supporting decisions, interacting with customers, and shaping outcomes across nearly every function.
Deploying third-party AI doesn't transfer responsibility. If an AI system leaks sensitive data, generates harmful outputs, or gives incorrect information, customers and regulators won't distinguish between the model provider and the company using it.
The Air Canada chatbot case is still the clearest example. After a customer received incorrect information about bereavement fares, the airline argued the chatbot was responsible for its own actions. The court disagreed. Beyond the financial cost, the case was a public reminder that accountability for AI decisions sits with the organization deploying the technology.
So procurement teams are no longer satisfied with governance policies sitting in a folder. They want evidence that AI systems are managed, monitored, and controlled in practice.
The New Questions Buyers Are Asking
For many vendors, that's a challenge. Sales teams can speak fluently about model performance, product functionality, and implementation timelines. They're less prepared when a buyer asks how AI outputs are monitored, what controls kick in if a model behaves unexpectedly, or how the company would respond to an AI-related incident.
These are exactly the questions enterprise procurement teams are starting to ask.
Regulation is driving part of it. Frameworks like ISO 42001 and the EU AI Act have pushed AI governance up the corporate agenda. Buyers are also treating AI governance as a test of how responsible a vendor is. They want proof that a vendor understands the risks and has processes to manage them.
AI Governance Is Becoming a Competitive Differentiator
For vendors, that's an opportunity. Enterprise buyers still want powerful tools, as long as they can trust, approve, and deploy them with confidence.
So, sales teams need to show their AI systems are governed and monitored continuously, with evidence to back it up.
This is where governance automation and continuous monitoring meet. Drata helps organizations automate governance, collect evidence continuously, and prove ongoing compliance. RAIDS adds visibility into how AI systems behave once they go live. Its continuous, inference-time monitoring produces a live audit trail, so businesses can spot anomalies, detect unsafe behavior, and keep control as systems evolve.
Together, these capabilities give sales teams what they increasingly need: clear evidence that their AI product can stand up to procurement scrutiny.
AI governance builds trust, reduces buyer hesitation, shortens sales cycles, and wins business. That's the case for treating it as a sales enabler, and acting on it now. Ready to get started? Get in touch with the Drata team and the RAIDS AI team today.
