Sonet.io 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 Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...