Database Security

Sonet.io announced Data Loss Protection

Sonet.io

Organizations can improve workers’ productivity through generative AI tools while protecting corporate IP and sensitive data.

Sonet.io, a company that helps IT leaders accelerate secure onboarding and management of remote workers, today announced support for data loss protection, monitoring and observability capabilities for the generative AI era. Sonet.io will be able to detect when sensitive data is downloaded, uploaded, copied, pasted or typed into generative AI tools, allowing organizations to realize the efficiency gains of generative AI tools, without compromising the security of corporate data and IP. Organizations can grant access to these tools only through Sonet.io and then block prohibited actions from taking place and see exactly what actions users have taken, even replaying back recordings of the violations to determine exactly what happened.

“Generative AI tools can provide significant increases in productivity, but also come with significant risk as workers inadvertently input sensitive data into them,” said Sonet.io CEO Dharmendra Mohan. “Some organizations have addressed this by completely shutting down access to generative AI, putting them at a disadvantage against organizations that are increasing worker efficiency with these tools. By restricting the ability to input sensitive data, organizations can realize the cost-benefits of AI tools, without neglecting data security.”

Sonet.io will allow admins to set fine-grained content inspection policies that block anyone inputting sensitive data into generative AI tools. While non-confidential content is allowed, data that fits sensitive patterns, such as credit cards, personally identifiable information (PII), keys, and source code, can be blocked from being put into the tools. Real-time notifications can be sent to internal admins to ensure any threats are dealt with immediately, and screen-recordings can be used for forensics.

The Sonet.io team will be available at Black Hat USA 2023 at Booth #SC318. The conference runs from August 5-10.

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