How Cloudbrink Delivers Secure, High-Performance AI for the Enterprise

AI is being adopted by all industries for various use cases because of the benefits it offers in terms of efficiency, cost effectiveness as well as speed of service delivery. It can be a customer service in the hospitality industry or real-time automation on the manufacturing floor; AI has applications almost everywhere. Hence, IT teams are evaluating multiple AI workloads that can support their business operations more efficiently. Enterprise users are leveraging a variety of online AI services to fulfill their job responsibilities, although not all these online AI services are approved by their IT/infosec teams - creating what has become known as shadow AI. Users in organizations are eager to leverage AI for competitive advantage but are held back by concerns regarding compliance, sensitive data mishandling, and the performance of current AI solutions.

AI Challenge

Shadow IT presents a dual challenge for enterprises embracing the AI boom. While it empowers users to explore a wide array of AI services beyond approved IT options, fostering efficiency and innovation, it also introduces significant risks. These risks include the exfiltration of sensitive proprietary data, increased vulnerability to ransomware, damage to reputation and compliance, and the loss of business advantage. The imperative for enterprises is to navigate this landscape by simultaneously offering flexibility and robust security, thereby enabling safe innovation within their organizations.

Why Cloudbrink and Core Capabilities

Cloudbrink has taken a different approach to enable enterprises to consume AI services smoothly. Unlike other players who add a checkbox against a wide range of AI features, Cloudbrink focuses on common use cases, ensuring that all necessary capabilities and integrations are available throughout each step of the lifecycle. This approach provides enterprises with clear visibility into the expected final outcome.

Below are the core capabilities supported by Cloudbrink AI Platform

1. Identification and marking of sensitive data: To begin protecting data within an AI environment, it's essential to establish clear guidelines for classifying data as either sensitive or public. Mechanisms should be in place to effectively categorize and label this data.
2. Access controls: Cloudbrink provides capabilities that can provide a very granular level of access controls for the sensitive data. The granularity includes access controls based on user's identity/group association, device posture status, context around the access (For example: geolocation, API vs manual) and granularity at the database/attribute/datasets level. Only then is it possible to limit the access to sensitive data and the lateral movement of the data (principle of least privilege).
3. AI Usage: Cloudbrink offers visibility into AI usage within an organization, enabling oversight teams to monitor how users engage with AI online services and agents. This provides valuable insights into AI consumption patterns.
4. Visibility: Cloudbrink offers strong visibility features, detailing user data access, including timestamps, devices, and the nature of data transfer (selective vs. large volumes).
5. Alerting: While visibility is mandatory for compliance and triaging, alerting capabilities based on predefined as well as custom defined alert conditions is very powerful to contain any attack or damage quickly.

Use Cases

Cloudbrink supports following use cases with the new innovative AI platform

1. Enable secure and compliant online AI services usage by employees: IT teams can empower their employees to safely utilize AI, ensuring both security and compliance.
2. Enable adoption of Enterprise AI Agents with data protection and least privilege access controls: Supporting AI Agent adoption in the enterprise requires deeper integration with the ecosystem to enable the agents.
3. Make AI Agent developers more productive: AI Agent developers require development platforms that offer high-performance access to AI synthetic data, GPUs/DPUs, and the development platforms themselves.

Conclusion

Enterprises seek clear guidance from vendors on how to effectively harness the latest AI technology to benefit their businesses. IT and security teams require transparent insight into the anticipated results before embarking on their AI initiatives. These teams are currently overwhelmed with an abundance of feature information, yet lack comprehensive details regarding the end-to-end AI implementation process.

Cloudbrink is the ideal partner for enterprises integrating AI, focusing on user experience and productivity. We collaborate with AI design partners to offer robust, intuitive solutions. This approach provides IT and security teams with clarity, simplifying integration, bolstering security, and ensuring seamless performance. AI's impact is undeniable, making its adoption essential for competitive enterprises. Cloudbrink is the ideal strategic partner to guide enterprises through this AI-driven journey.