Responsible Enterprise Modernization through Secure AI and Cloud-Native Service Now Automation
DOI:
https://doi.org/10.63282/3117-5481/AIJCST-V8I4P104Keywords:
SAI Governance Frameworks, Cloud-Native AI Systems, Security-Centric Automation, Servicenow AI Integration, Zero-Trust Architecture, AI Risk Management, Compliance-Driven AI Operations, Identity And Access Control, AI Lifecycle Governance, Secure AI DeploymentAbstract
Enterprises are transforming to embrace Artificial Intelligence (AI) and accelerate business outcomes. The application of AI technology needs to occur in a controlled environment, with appropriate risk management in place to ensure longevity of the systems. Hence the desired outcome is to adopt an AI governance framework mapped to an enterprise service delivery solution that supports the detection and remediation of trust, safety, security and compliance risks relating to the AI operations across its lifecycle, as well as in the data used to train, develop and run the AI models. Therewith, a Cloud-Native, Security-centric and Compliant AI-Driven Automation Framework for ServiceNow is articulated. The framework allows for various AI services to be developed, operated and maintained safely, securely and in a controlled responsive manner aligned to AI Governance principles throughout the lifecycle. The framework operates within a Cloud-Native model with all applications comprising SaaS/IaaS/PaaS being developed and deployed under the principles of zero-trust with least-privilege identity and access management considerations. The completed framework provides the foundation for continuously improving the Security-Centric and Compliance controls.
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