Cyera, a cybersecurity platform, has collaborated with Microsoft Azure OpenAI cloud service to enhance data security features. With the integration, organizations can implement cybersecurity, privacy, and compliance policies more consistently across all data stores and data classes. The integration allows cybersecurity teams to use a natural language interface to invoke Microsoft generative AI to match data stores, data classes, and to identify best practices. The Cyera platform is equipped with large language models, which allow it to apply generative AI capabilities and machine learning algorithms to metadata scans.
Cyera’s proprietary probes identify roles and data access permissions along with its origins. The platform then applies the correct security, privacy and compliance policies to remediate potential risks to the business. The platform can also identify misconfigurations, recommend specific access controls and generate new policies for data access governance without violating compliance policies.
The collaboration with Microsoft allows for a semantic search capability to identify issues based on summaries of compliance regulations more easily. Regulatory compliance is overwhelming for most organizations, and generative AI platforms, like Microsoft Azure OpenAI, simplify how organizations navigate through these regulations, using natural language interfaces.
The integrations between the Cyera and Microsoft Azure AI platform streamline compliance workflows, making it simpler to maintain business context. Even though generative AI platforms are already widely used, it’s still early in the enterprise adoption of the technology. Companies are increasingly creating data, and the volume of data organizations need to securely manage will only increase. Cybersecurity teams need to have conversations with business leaders that are increasingly investing in tools to create data without appreciating all the downstream implications. With AI technology like Cyera and Microsoft Azure OpenAI collaboration, organizations can effectively manage the volume of data at scale without any manual processes.
