What It Actually Takes to Secure Claude in the Enterprise
AI governance doesn't end at deployment. Learn what CIOs need to monitor, oversee, and govern AI in production.
Watch On Demand: What It Actually Takes to Secure Claude in the Enterprise
Claude is powerful enough to transform how your enterprise works, but getting that transformation right requires more than a technical integration —it requires a governance foundation most enterprises haven’t built yet.
Watch this practical session on what Claude deployment across your organization actually requires. We’ll show you the five control foundations every deployment needs and give you a framework for assessing where you stand today.
Key Takeaways:
- The five things every enterprise needs before deploying Claude at scale
- A practical framework for evaluating your current exposure
- A live look at how Airia enforces Claude security in production environments
- Answers to common deployment questions from the Q&A
Why this resource matters
Use this resource as a practical starting point for evaluating how enterprise AI moves from isolated pilots to managed, measurable programs. It is written for teams that need to connect strategy with operating controls: model choice, integration, security, governance, cost visibility, and the workflows that turn AI into repeatable business outcomes.
Airia’s role in that journey is the control layer. The platform helps teams orchestrate models and agents, connect enterprise data, apply policies, and monitor activity across the AI lifecycle. Whether the asset is an analyst report, ebook, or webinar, the core question is the same: how do you scale AI without losing visibility, accountability, or speed?