Introducing AI Governance in Lema
Your vendors ship new models, agents, and AI features between your reviews. See how to find the AI already in your vendor portfolio, assess it, and act on what you find.
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Live webinar, 30 minutes with Q&A
Most of Your AI Arrived Without a Review
Some of it you approved, some was added after the assessment,
and some came in through tools that were never reviewed at all.
Your inventory tracks vendors, not the AI inside them.
That list is maintained manually, and the answers are never validated.
What We'll Cover
See AI Governance in Lema: how we discover AI across the vendor ecosystem, assess it, map model and fourth-party dependencies, and monitor what changes
AI inventory
Shadow AI that was never approved and new AI capabilities added after a vendor was assessed
AI assessment
Capabilities, data use, model providers, fourth parties, and the controls that matter
Continous monitoring
New models, agents, subprocessors, data practices, and scope changes
Remediation
Product settings, access changes, vendor requests, contract terms
Introducing AI Governance in Lema
Tomer Roizman
Tomer co-founded Lema to bring evidence-based, engineering-driven thinking to third-party risk. He works at the intersection of vendor intelligence and real-world usage data, focused on helping GRC and security teams move past checkbox reviews toward finding the risks that actually matter.
Craig Riddell
Craig leads security at Lema. He previously served as CISO at Netwrix and as Field CISO at Wallarm, and has spent his career helping enterprise security teams translate technical risk into business decisions.
AI Adoption Isn’t Waiting on Security
Register now to get visibility and control over the AI already spreading across your vendor ecosystem.