Shadow AI Risks in Software Companies:
Managing Risk Without Slowing Innovation
Software companies are moving fast—embedding AI into products, arming developers with copilots, and adopting autonomous agents across teams. But AI adoption is outpacing governance. Developers spin up models, connect third-party AI APIs, and ship AI-powered features faster than security teams can track them. Shadow AI is the new Shadow IT—and it's creating blind spots that attackers are already exploiting.
Built for security leaders in software and technology companies, this session explores how to discover where AI is running across your organization, identify risky applications and usage patterns before they become incidents, and take action across unmanaged SaaS, third-party integrations, and internal AI tooling—without slowing innovation.
Attendees will:
Discover and inventory Shadow AI usage across development pipelines, SaaS environments, and production infrastructure
Identify risky AI application behavior using telemetry, APIs, and existing security controls
Examine response strategies to govern, contain, or block Shadow AI threats without disrupting legitimate AI-driven innovation
