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Z.ai’s default-enabled workflow sent entire local repositories to cloud infrastructure, raising fresh concerns over how AI tools handle sensitive source code.
Britain’s new oversight of Microsoft, Google, Amazon, and Oracle shows that hyperscalers are no longer being treated as ordinary IT vendors.
Public cloud remains the easy path for AI, but Tesla and others believe that owning and controlling AI infrastructure is a better long-term bet.
Awareness of all the ways prompt injection can be effected will help security teams spot a new generation of attacks.
Cost, performance, compliance, control, and portability pressures are driving the movement of workloads from hyperscale cloud to dedicated infrastructure.
Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.
Security for AI agents increasingly resembles the trust infrastructure that underpins today’s internet, confidential computing experts observed.
The EU’s effort to prevent a foreign ‘kill switch’ may lead to a fragmented market, increased confusion, and even greater consolidation among major providers.
With access to many different types of data fabrics, companies big and small can use them to provide AI agents with wide access to data sources, unstructured data, shared business context, and guardrails.
The randomness in quantum physics is imperfect and needs amplification to be considered truly random, the researchers say.
Now is the perfect time to develop skills, research new security protocols, and experiment with potential use cases.
The backlash against large data center projects raises a new question. Could part of the next infrastructure wave use private homes rather than purpose-built facilities?
While Google Cloud Next showcased plenty of agentic magic, the most encouraging announcements centered on making agents more manageable and trustworthy.
How AI and Data Observability Are Transforming Manufacturing
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