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Hybrid by Design: Zero Trust, AI, and the Future of Data Control
AI is reshaping how work gets done, accelerating decision-making and introducing new ways for data to be created, accessed, and shared. As a result, organizations must evolve Zero Trust beyond an access-only model into an inline data governance approach that continuously protects sensitive information wherever it moves. Securing access alone is no longer enough in an AI-driven world.
In this episode, we'll unpack why real-time visibility and control over data usage are now essential for safe AI adoption, accurate outcomes, and regulatory compliance. From preventing data leakage to governing how data is used by AI systems, security teams need controls that operate in the moment - across cloud, browser, SaaS, and on-prem environments - without slowing the business.
We'll also explore how growing data sovereignty and regulatory pressures are driving renewed interest in hybrid architectures. By combining cloud agility with local control, organizations can keep sensitive data protected, governed, and compliant, regardless of where it resides or how AI is applied.
This segment is sponsored by Skyhigh Security. Visit https://securityweekly.com/skyhighsecurity to learn more about them!
Segment 2: Why detection failsCaleb Sima put together a nice roundup of the issues around detection engineering struggles that I thought worth discussing. Amélie Koran also shared some interesting thoughts and experiences.
Segment 3: Weekly Enterprise NewsFinally, in the enterprise security news,
- Fundings and acquisitions are going strong
- can cyber insurance be profitable?
- some new free tools shared by the community
- RSAC gets a new CEO
- Large-scale enterprise AI initiatives aren't going well
- LLM impacts on exploit development
- AI vulnerabilities
- global risk reports
- floppies are still used daily, but not for long?
All that and more, on this episode of Enterprise Security Weekly.
Show Notes: https://securityweekly.com/esw-443
