MorganFranklin Cyber announced the official launch of its Artificial Intelligence (AI) Practice as a comprehensive services line to help enterprises securely adopt and operationalize AI at scale. The new offering combines MorganFranklin Cyber's deep cybersecurity expertise with cutting-edge AI engineering to help clients achieve measurable business value while mitigating risk.

The new AI Practice is led by Alison Andrews, a former Google Cloud executive with over 20 years of experience at the intersection of AI, cybersecurity, and cloud innovation. Andrews will guide AI strategy, solution development, and delivery across key domains including secure multi-agent systems, model governance, and enterprise AI integration. 

"The promise of AI is massive, but so is the complexity of doing it right," said Alison Andrews, Managing Director of the AI Practice at MorganFranklin Cyber. "Our mission is to help enterprises implement AI in a way that is secure by design, aligned with regulatory standards, and laser-focused on delivering real business outcomes. We aren't creating AI for AI's sake - we're providing trusted guidance to harness AI in a way that achieves responsible, impactful business transformations." 

As generative and agentic AI rapidly matures, organizations face growing pressures to move from experimentation to scaled implementation and to prove the ROI of their AI investments. Yet, concerns over security vulnerabilities, regulatory compliance, data integrity, and AI talent shortages continue to impact adoption. MorganFranklin Cyber's AI Practice directly addresses these challenges with a suite of services designed to support enterprises through every stage of their AI journey. 

Key AI Practice offerings include: 

• Secure Foundation Building: Assess security, compliance, data readiness, and governance for responsible AI adoption. Identify risks, highlight use cases for agentic AI and deliver governance frameworks that support innovation. 

• Scalable AI Implementation and Deployments: End-to-end AI implementation, including secure model development, data pipeline construction, and enterprise knowledge integration. Design and deploy scalable agentic workflows that deliver measurable results. 

• Maximizing Long-Term AI Value: Enterprise transformation and managed services that optimize AI performance, ensure compliance, and accelerate ROI. Embed security across the AI lifecycle and maintain alignment with evolving business needs. 

• Protecting AI from Emerging Threats: Advanced security services tailored for addressing AI threats, including real-time monitoring, vulnerability analysis, and adversarial testing. Fortify resilience and improve the safety and integrity of AI systems. 

"AI represents a generation shift in enterprise technology. However, without trust, adoption stalls," said Keith Hollender, CEO of MorganFranklin Cyber. "With our AI Practice, we are helping clients break down barriers to AI transformation through security-first design, industry-tested methodologies, and a relentless focus on delivering value." 

MorganFranklin Cyber's AI Practice is also investing in next-generation protocols and standards such as OpenAI's Multi-Agent Collaboration Protocol (MCP) and Google's Agent-to-Agent (A2A) technologies. Through partnerships with major cloud and AI providers, the firm aims to offer clients future-ready architectures that can adapt to the rapidly changing AI ecosystem. 

This strategic expansion of MorganFranklin Cyber's AI capabilities also reinforces its commitment to providing integrated cybersecurity and emerging technology solutions to meet modern enterprise demands.