SAS Joins AI-Native Blueprint Initiative to drive trusted AI adoption in telecom
Collaboration with TM Forum to define AI security governance principles
As communications service providers (CSPs) look to boost network operations with AI investments, the technology faces mounting scrutiny amid growing cybersecurity concerns. SAS, a global leader in data and AI, today announced its commitment to advancing the development of AI governance guardrails through its intent to co-chair the AI Security and Governance Workstream within TM Forum’s AI-Native Blueprint Project.
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A global industry association for service providers and their suppliers in the telecommunications industry, TM Forum is dedicated to empowering CSPs to improve their operational agility through the AI-Native Blueprint Project.
“Agentic AI is rapidly eclipsing every other technology priority for CSPs as they work to modernize, scale, and ultimately trust AI-driven operations,” said Guy Lupo, TM Forum EVP, AI and Data Innovation. “CSPs must now innovate their engineering foundations and build the confidence to safely shift decision-making from humans, to assistants, and eventually to autonomous agentic systems.”
TM Forum’s AI-Native Blueprint provides the industry’s first structured path to move CSPs out of the lab and into production, enabling the transition from experimentation to minimal viable agentic AI and, ultimately, trustworthy and responsible AI at scale.
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The first version focuses on three foundational challenges:
- Data Products Lifecycle Management – Moving from data projects to discoverable, governed data products that agents can access without human intervention.
- Security & Governance – Establishing security patterns for agentic interactions and setting the foundation for responsible AI governance.
- Model as a Service (MODaaS) – Defining how CSPs can source, operate, and scale multi-model environments across cloud, on-prem, and edge with consistent metrics, controls, and operational requirements.
SAS helps CSPs implement responsible AI
As co-chair of the Security & Governance Workstream, SAS contributes a robust background in AI governance, risk management, and security, along with a demonstrated history of real-world success. SAS helps CSPs adopt AI responsibly and align to regulatory frameworks, all while accelerating innovation.
According to a recent survey from SAS, 57% of organizations plan to moderately increase their investments in responsible AI, aligning with data that shows organizations without strong AI governance underperform. SAS’ AI Governance Map exemplifies this commitment, offering organizations a clear framework for managing risk and transparency in AI deployments.
“An inability to trust AI’s security foundation can be the downfall of any number of promising AI projects,” said Reggie Townsend, Vice President SAS Data Ethics Practice. “Our collaboration with TM Forum ensures that AI adoption delivers measurable business value without compromising integrity.“
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