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AI & Enterprise
Security must be close to data, Snowflake role set to grow
Snowflake Chief Security and Trust Officer Mayank Upadhyay said security must be built into the data platform and become part of normal workflows. He said Snowflake is approaching AI security in three layers: protecting large language models, managing agent identity and permissions, and securing the data layer. He highlighted the Horizon Guardrails product and the Natoma acquisition, and stressed fast feedback loops, data sovereignty and zero data retention.
AI & Enterprise
More AI-written code raises verification burden; solution is to generate less and reuse
Generative AI is boosting software development productivity, but growing volumes of AI-written code can also raise review, fixing and maintenance costs, an analysis said. Deepak Anupal, co-founder and CTO of WaveMaker, argued the key is not how to inspect generated code but how to generate less. He proposed an “assembly model” that prioritises reusing verified components and libraries, reducing repeated checks and limiting new code to what is essential.
AI & Enterprise
Jiransoft launches enterprise AI OfficeAgent
Jiransoft said on April 15 it will launch OfficeAgent, an enterprise AI solution that performs tasks using internal company data without security concerns. The company said the product uses role-based access control so only authorised users can access data and follows a principle of excluding user inputs from AI model training. It will detect and automatically mask sensitive information such as resident registration and mobile phone numbers.