Teiss Talk: Quantifying emerging cyber risks from AI and quantum

While enterprises rush to deploy agentic AI to automate complex workflows, a silent countdown has begun toward the "Quantum Decryption" horizon. These aren’t just incremental changes; they represent a fundamental shift in the threat landscape where traditional risk assessments are becoming obsolete. The challenge for infosec leaders is no longer just identifying these threats, but quantifying them.

How do you assign a value to the risk of "Shadow AI" agents? How do you justify the cost of quantum-resistant cryptography today for a threat that matures tomorrow?

In this episode of teissTalk with Yaroslav Rosomakho, Chief Scientist at Zscaler, we’ll explore:

• Strategies for implementing governance guardrails for agentic and shadow AI
• Prioritising risk reduction through design-led controls that balance innovation, governance, and cost efficiency
• Mitigating cascading risk across increasingly complex ecosystems of vendors, contractors and platforms

Join us as we provide a pragmatic, design-led framework for balancing rapid innovation with the rigorous governance needed to secure your organisation against the next generation of technological disruption.

Speaker

Yaroslav Rosomakho, Chief Scientist Zscaler