Webinar Description
Key Takeaways
- No-code and low-code AI tools are enabling widespread AI development within enterprises
- Democratized AI creation introduces new security and governance challenges
- Application security and model observability are essential for responsible enterprise AI adoption
- Industry leaders will discuss practical strategies for managing risk and ensuring reliability
The rapid adoption of no-code and low-code AI platforms is transforming how enterprises approach software development. In 2026, the ability for employees across departments to build and deploy AI-powered applications is no longer a distant vision—it’s a daily reality for organizations navigating digital transformation.
Why AI Democratization Matters Now
As AI development becomes accessible to a broader range of business users, organizations are seeing a surge in custom applications tailored to specific operational needs. This shift accelerates innovation but also introduces a new layer of complexity. When employees without deep technical backgrounds create AI solutions, the risk profile changes. Sensitive data may be exposed, outputs can become unpredictable, and applications may operate outside established governance frameworks.
Security and Observability: The New Imperatives
Enterprise leaders are now tasked with balancing the benefits of rapid AI adoption against the operational risks it brings. Two areas have emerged as critical: application security and model observability. Security teams must ensure that new AI-powered tools do not become vectors for data breaches or compliance violations. At the same time, observability into model behavior is essential for maintaining reliability and trust in automated decisions.
Industry Perspectives and Practical Guidance
This live session, hosted by Manifest Cyber, will feature Daniel Bardenstein, CEO and Co-founder of Manifest Cyber, and Zach Fry, CTO of Arthur.ai. Together, they will explore the operational realities of AI democratization, share insights on emerging governance frameworks, and discuss actionable strategies for managing risk in a rapidly evolving landscape.
The conversation is designed for professionals responsible for enterprise technology, security, and innovation. Attendees will gain a clearer understanding of the challenges and opportunities presented by the new era of AI development—and what it takes to build responsibly at scale.