Large language models (LLMs) burst onto the scene barely 18 months ago, and multimodal and other types of models followed in rapid succession. This new tech has dominated the discussion around the previously stodgy and rather niche topic of AI/ML ever since. Some companies have embraced them wholeheartedly. Others remain hesitant. According to a recent report, 71% of organizations are concerned about data privacy and security risks, and more than 50% are using public models without an acceptable use policy in place. To say the quiet part out loud, the hesitant companies are not afraid of the tech, they are afraid of what their people–the careless ones, the clueless ones, and the corrupt ones–might do with that tech and what that could mean for the company’s reputation, bottom line, or shareholder value, to name just a few considerations.
What is the solution? There are several, depending on how fearless or afraid an organization is.
It’s well-established that deploying LLMs across your organization can bring numerous immediate advantages, from enhancing customer experiences to boosting operational efficiency, and all the downstream benefits that flow from those. Some of the guardrails that must be deployed are also well-known to security professionals, but they must be retooled to fit the new environment. The CalypsoAI SaaS-enabled security and enablement platform provides many of the most critical AI-specific solutions.
- Establish, implement, and explain the ethical guidelines that employees must follow when using LLMs. This ensures that they understand the boundaries, responsibilities, and consequences associated with LLM usage. CalypsoAI uses admin-set policy-based access controls to safeguard data and models from inappropriate access.
- Implement robust data governance procedures to protect sensitive information and uphold privacy regulations, and develop policies that outline data collection, storage, usage, and retention practices. If you don’t know what is leaving your organization and how it’s leaving, you won’t be able to stop the flow. That’s where CalypsoAI’s broad set of customizable scanners can offer full coverage. The scanners review and filter outgoing and incoming traffic for alignment with organizational values, as well as for malicious, suspicious, or other inappropriate content.
- Establish a cadence for auditing model performance with respect to the safeguards and policies you have in place. This enables your security teams to identify and address any biases or unintended consequences stemming from their use, and allows you to refine and improve how your organization uses the models over time. CalypsoAI’s platform tracks and retains every interaction with every model, allowing administrators to identify anomalies and understand usage patterns.
- Implement mechanisms for automated and human monitoring and feedback to identify and address potential risks or issues. Then analyze and act on the feedback to ensure the models continue to align with your organization’s values and goals. CalypsoAI’s human verification feature enables users to mitigate or prevent the damage that can be done when models “hallucinate” in believable ways. Verification can be required or optional, and links can be included for future reference.
Responsible LLM deployment requires forethought, proactive safeguards, such as those provided by CalypsoAI, and a commitment to ongoing, evolving best practices. Kind of like raising children or puppies. But … less messy.
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