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Security, Privacy & Trust in the Age of AI

By Lawrence Sica

Among enterprises, the conversation around AI models has shifted from type and performance to trustability: Can you trust the answer?

As AI use increasingly shifts to agentic, autonomous functionality, trust in AI output is no longer a secondary consideration for critical business decisions.

In this report, discover the foundational questions and principles that firms should be requiring of AI providers as they prioritize scaling trustworthy AI infrastructure.

About the Author
  • Lawrence Sica

    VP, Product Security
    Lawrence Sica is VP of Product Security at AlphaSense, where he leads application security, cloud security, and product trust. He has spent more than 20 years building security programs in regulated financial services, including at S&P Global, CLEAR, and Own Backup, with a recent focus on AI and LLM security, agentic risk, and secure SDLC

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