Generative AI is all the rage, and for good reason. It holds enormous promise for productivity, efficiency, and innovation. Chances are your employees are already using it to automate routine tasks without your authorization or oversight. As these powerful tools become more accessible, your team is likely to deploy even more of them for a variety of job functions.  

This shadow use of Gen AI is deeply concerning. When staff use GenAI to do their jobs, they put your organization at risk for data security breaches, regulatory non-compliance, poor data management, and inaccuracies (hallucinations). Management understands this. A recent PwC global survey found that when it comes to generative AI risks, 64% of CEOs said they are most concerned about cybersecurity.   

That’s no surprise. Adhering to data governance regulations is more crucial than ever. Non-compliance with frameworks such as the European Union Artificial Intelligence Act (EU AI Act), General Data Protection Regulation (GDPR), Digital Operational Resilience Act (DORA), and Brazil’s Bill No. 21 of 2020 can lead to serious consequences, including hefty fines and legal action. By inadvertently using confidential or personal information or intellectual property (IP) in their prompts, your staff is violating privacy laws leading to potential repercussions to your company’s financial health and reputation. 

To prevent this kind of damage, you need to be able to answer the following questions: 

• Are our employees leaking confidential or personal data out of the company or bringing unsecure, toxic data into the company?  
• Is staff engaging with chatbots or assistants that can pose security threats?   
• Do we have sufficient insight into data streaming in from GenAI models, knowledge bases, APIs, and employee interactions?   
• Are we ensuring business units can’t stand up their own AI projects without oversight? 

Addressing these questions first requires a comprehensive view of and control over your organization’s entire GenAI landscape. Next, you need guardrails to ensure you’re protecting personally identifiable information (PII), enforcing role-based access permissions, preventing hallucinations, and blocking toxicity at all times. Finally, you need a way to rapidly deliver trustworthy GenAI capabilities across the organization while reducing generative AI risks.  

Overcome the challenges of GenAI deployment 

Motific is a SaaS product that supports your GenAI journey from assessment through experimentation to production. By providing visibility across the entire GenAI landscape, it allows development teams to harness the power of AI while maintaining control over sensitive data, security, responsible AI, and costs.  

Secure your AI ecosystem with comprehensive policy controls  

Muddling your way through policy controls for security, trust, compliance, and cost management is a complex but necessary task. Motific streamlines this complex process with a suite of built-in controls that help you manage and enforce security protocols, ensure responsible AI practices, and optimize costs. These controls ensure that every interaction, from GenAI prompts to responses, complies with your organization’s policies.  

Motific’s integrated policy controls extend to cost management by allocating token budgets for user inputs and machine learning model responses, whether they originate from the assistant or via the abstracted API. The solution also provides the flexibility to customize policies to your specific needs and integrate your existing data. Additionally, it deters shadow AI usage by identifying uncertified third-party GenAI applications and helping to provision certified and compliant alternatives. Finally, Motific meticulously tracks and audits all user requests, fostering a culture of compliance and continuous improvement. 

Automate configuration aggregation for GenAI applications 

Motific allows you to effortlessly fine-tune policy controls across your GenAI applications and abstracted APIs. The solution guides you through the process of creating motifs to aggregate configurations, offering various settings such as Large Language Model (LLM) providers, Retrieval-Augmented Generation (RAG), knowledge base connections, policy information, and user access controls. Once your motifs are established, Motific provides an API definition for seamless integration of your generative AI application. With this setup, you can easily apply the desired policy settings.   

How Motific addresses generative AI risks in an insurance industry use case 

To understand how Motific works, let’s look at a use case from the insurance industry. Brokers and agents who lack specialized industry teams struggle with core expertise. GenAI can help streamline the application submission process by providing answers to relevant questions based on known information about the insured, the industry they operate in, and third-party data sources. Clearly, a GenAI tool like this is highly valuable. However, without proper security and compliance controls in place, it puts the agency at considerable risk.

In this case study, Motific simplifies the submission process by automatically applying built-in policy controls. These include controls for sensitive data, such as personally identifiable information (PII), corporate confidential secrets, and intellectual property, as well as security measures like prompt injection and access control and responsible AI measures that block toxicity and malicious URLs.

Enable rapid AI deployment and innovation with Motific 

Motific empowers you to meet increasing demands for AI and security compliance. Reduce risks early, accelerate your return on investment, and empower your teams to innovate more quickly.

Visit motific.ai to learn more about how Motific can:  

• Increase Generative AI (GenAI) adoption velocity from months to days 
• Reduce GenAI security, trust, compliance, and cost risks 
• Unlock deep visibility and insights into operational and business metrics