This series explores how AlphaSense thinks about AI security and safety as a core design philosophy — not a compliance checklist. Watch them on-demand!
Session 1 - The Data Advantage: Why trusted data matters for AI
In this session, we will walk through how AlphaSense thinks about both its own premium content and your internal data: how it's treated, how it's connected, and what it takes to keep it secure.
Session 2 - Beyond the Platform: Securing AI where your work actually happens
In this session, we will do a deep dive into how AlphaSense extends securely beyond its walls — through our API and MCP, as well as our Add-Ins for Excel and PowerPoint — and what it means to enforce trust, access controls, and safety when your AI is operating inside the tools your team already uses.
Session 3 - Always On, Always Trusted: Scaling agentic AI across your workflows
In this final session, we walk through how AlphaSense ensures agents like SuperAnalyst operate safely at scale. Lawrence will explore what guardrails look like when AI is working around the clock on your behalf, and what you should expect from any vendor whose AI never stops.
