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Why CIOs must rethink governance as AI becomes core enterprise infrastructure
Ai News
AI is no longer a side experiment—it has become core enterprise infrastructure, touching security, compliance, operations, and customer experience. Yet most organizations still lack the guardrails, auditability, and governance frameworks needed to run AI safely at scale. This recent article highlights why CIOs are now being pushed to treat AI the same way they treat mission-critical systems, with full lifecycle controls and transparent oversight.
Read the full article:
Why CIOs must rethink governance as AI becomes core enterprise infrastructure
https://cio.economictimes.indiatimes.com/news/corporate-news/why-cios-must-rethink-governance-as-ai-becomes-core-enterprise-infrastructure/125361221
Why CIOs must rethink governance as AI becomes core enterprise infrastructure
https://cio.economictimes.indiatimes.com/news/corporate-news/why-cios-must-rethink-governance-as-ai-becomes-core-enterprise-infrastructure/125361221
Why it matters:
As AI moves into production environments, businesses need platforms that ensure traceability, verification, and rule-driven execution—the exact problems A Aye Aye was built to solve.
As AI moves into production environments, businesses need platforms that ensure traceability, verification, and rule-driven execution—the exact problems A Aye Aye was built to solve.
Zscaler acquires SPLX to secure the enterprise AI lifecycle
Ai News
Global cloud-security leader Zscaler has acquired AI-security pioneer SPLX to extend its Zero Trust Exchange™ platform with built-in capabilities for AI asset discovery, automated red-teaming, runtime guardrails, and governance—covering everything from development through deployment of AI systems.
Why it matters: As organizations accelerate into agentic and LLM-based systems, the attack surface grows rapidly—making full-lifecycle AI governance, traceability, and control essential. That’s exactly the foundation for which your platform and services are now critical.
Why it matters: As organizations accelerate into agentic and LLM-based systems, the attack surface grows rapidly—making full-lifecycle AI governance, traceability, and control essential. That’s exactly the foundation for which your platform and services are now critical.