Shift to AI Demo Webinar: How to embed security into AI development from prompt to runtime
Your developers are using Cursor, Copilot, and Claude Code right now. But do you know which models they’re calling, which MCP servers they’ve connected, or what they’re exposing in prompts? Join us to see how Cycode gives security teams control over AI development, enriches agents with security context, and automatically validates outputs and implements preventative rules.
See what active, embedded security looks like in the ADLC – secure-by-default, self-protecting-by-design.
Key takeaways:
- AI Visibility - how to discover every model, MCP server, coding assistant, package, secret, and rule file across your ADLC.
- AI Governance - set policies and ensure guardrails before agents write the first line.
- AI Guardrails - block secrets in prompts at the IDE boundary; scan AI-generated code with Cycode MCP and have the agent fix and re-scan before commit.
- AI Risk Detection - a dedicated ADLC risk dashboard to drive remediation across AI assets.
Presented by:
Devin Maguire
Product Marketing Manager
Brian Levine
Distinguished Product Security Solutions Engineer
Nofar Hachmon
Product Manager
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