Generative AI (GenAI) innovation continues to move at an unprecedented pace, bringing powerful new use cases and possibilities. Global IT and security teams face increased pressure to realize the potential of this innovation for their organizations.
Application developers, IT, and security teams are often left to develop GenAI solutions with do-it-yourself (DIY) and fragmented tools. Consequently, business stakeholders struggle to synchronize their efforts across multiple technology teams and ad hoc deployments. These inconsistencies slow delivery velocity and present risks across trustworthy, safe, responsible, and secure AI.
Empowering Central IT and Security Teams with Motific
Organizations want to standardize and templatize the commonly used building blocks of GenAI applications such as assistants, APIs, foundation models, knowledge bases for retrieval-augmented generation (RAG), and policy controls. Enterprises need to work faster across the entire journey starting with their initial requirement proposals through experimentation to final production deployment. Additionally, organizations require a standard way of applying security, safety, and trust across models and providers.
According to Cisco’s 2024 Data Privacy Benchmark Study, “92% of respondents see GenAI as fundamentally different, requiring new techniques to manage data and risks”.
Motific, Your Central Point for Providing Value
- Simplicity and Velocity: Deploy abstracted APIs or assistants powered by organizational data with the necessary security, trust, compliance, and cost controls in minutes. This enables central IT and security teams to deploy consistent solutions across multiple models or providers with greater flexibility.
- ROI and Business Insights: Enable end-to-end monitoring of user prompts and model responses to avoid surprises in unexpected costs, usage, and ROI. Motific provides greater visibility into the use of shadow or unapproved third-party GenAI capabilities and creates an audit trail, policy flags, and other operational metrics.
- Trust and Safety: Minimize GenAI risks caused by toxicity and hallucinations. Improve trustworthiness by accurately detecting and mitigating issues or risks between user inputs and Large Language Model (LLM) responses.
- Security and Privacy: Maintain enterprise data security by using built-in policy controls that organizations can easily customize, in days, allowing companies to tailor usage based on their internal policies. Security features such as prompt injection and access controls reduce data exposure risks. Automated, built-in, capabilities help secure sensitive data, such as personally identifiable information (PII) or valuable intellectual property (IP).
Motific empowers central IT and security teams to assist business end-users, business decision-makers, application developers, and legal teams deliver rapid, trusted GenAI adoption in their organization. We’ll be sharing more about Motific and other Outshift by Cisco solutions all week at Cisco Live.
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You said, “Motific empowers central IT and security teams to assist business end-users, business decision-makers, application developers, and legal teams to deliver rapid, trusted GenAI adoption in their organization.”
How does this commercial strategy come together as a cohesive whole in organizations? I envision the rise of the ‘GenAI Polymath’, a virtuoso who effortlessly navigates the diverse landscapes of technology, business, and creative problem-solving. The GenAI Polymath possesses a polyphonic skillset. Demand for this new role is inevitable.
Governance is forefront and needs to be solved! Glad to see news of Motific.