In a world where AI is everywhere, security concerns are increasing. Most people can't explain AI models or their behavior. We need to understand their strengths, weaknesses, and biases. It's also vital to know the datasets used for training.

Anyone can access tools like ChatGPT, transforming how we work but also introducing new risks. Cloud-based gen-AI and third-party tools can leak data and breach confidentiality.

Monitoring AI models and apps is critical. ModelOps helps keep them compliant and ethical. Continuous testing and re-testing of models are necessary to prevent adversarial and malicious attacks, which can cause financial, reputational, and other harms.

Regulations for AI are coming soon. The EU AI Act and frameworks from other countries will demand risk assessments. China has been working on AI regulations since 2017 with its "New Generation AI Development Plan."

AI TRiSM ensures the reliability, trustworthiness, security, and privacy of AI models. It drives better adoption, business outcomes, and user acceptance. Effective AI governance and protection measures are essential to manage cybersecurity threats continuously.

What Will I learn?

Learn how to articulate the details of AI models, including their strengths, weaknesses, and potential biases.

Understand the new risks associated with widely accessible gen-AI tools and how to mitigate them.

Discover the importance of ModelOps in maintaining compliance, fairness, and ethical standards in AI.

Gain insights into how continuous testing and monitoring can fortify AI models against adversarial and malicious attacks.

Get prepared for upcoming AI regulations and understand how they will impact AI governance.

Explore practical examples of AI monitoring and how AI itself can be part of the solution.

Join us to explore how AI TRiSM can secure AI's future.

Target Audience: Security, Mid-level management, CTO, CSO, CIO, Tech lead