Modern Enterprise Data Sharing Challenges
Invisible Data Flows
Inconsistent Policies
Invisible Data Flows
Enterprises lack visibility and auditability into the flows of their valuable data streams that is being shared with others, both at the access pattern level as well at the fine grained data content and semantics level.
Stochastic Data
Inconsistent Policies
Invisible Data Flows
Enterprises and service providers have data locked in silos, engineered to serve internal application needs with key names and business logic that are chaotic and confusing for applications in other domains to comprehend
Inconsistent Policies
Inconsistent Policies
Inconsistent Policies
Opportunities to monetize data stream and manage sharing relationships enterprises are hampered by lack of executable contracts. The absence of consistent, semantics-based data sharing policies results in a lack of governance
Benefits
Speed-up application roll-outs
Avoid costly compliance violations
Avoid costly compliance violations
Easily and Seamlessly accelerate just-in-time accessibility to decentralized data living in walled silos
Avoid costly compliance violations
Avoid costly compliance violations
Avoid costly compliance violations
Security, governance, monetization contracts using executable semantic driven policies
Sharply cut data sharing costs
Avoid costly compliance violations
Sharply cut data sharing costs
Avoid costly infrastructure and maintenance costs to build customized or adhoc solutions
Grow Revenue Opportunities
Sharply cut data sharing costs
Grow Revenue Opportunities
Grow Revenue Opportunities
Grow Revenue Opportunities
Open up Internal transactional data flows for intra or inter enterprise sharing with complete peace of mind: full control, iron clad security and deep visibility
Visibility and Control of Application Flows - in the News
CSO Online: Unauthorized AI is eating your company data, thanks to your employees
June 05, 2024: Legal documents, HR data, source code, and other sensitive corporate information is being fed into unlicensed, publicly available AIs at a swift rate, leaving IT leaders with a mounting shadow AI mess.
Cyberhaven Blog: Shadow AI: how employees are leading the charge in AI adoption and ...
May 21, 2024: Since ChatGPT launched in November 2022, generative AI has emerged as one of the fastest-adopted technologies in the workplace ever. But, as seen in past paradigm shifts like cloud computing, the productivity benefits of this new technology are balanced with new risks. Similar to the early days of cloud adoption, workers are using AI tools ahead of IT departments formally buying them. The result is “shadow AI,” employee usage of AI tools through personal accounts that are not sanctioned by—or even known to—the company.
The Register: Kaiser Permanente handed over 13.4M people's data to Microsoft, Google, ...
April 26, 2024Millions of Kaiser Permanente patients' data was likely handed over to Google, Microsoft Bing, X/Twitter, and other third-parties, according to the American healthcare giant.
Kyndryl: Why everyone is talking about distributed cloud at the edge
May 19, 2024: For many organizations, data collected and analyzed at the edge has become an engine of digital business. The data enables real-time decision-making, operational efficiencies and innovative use cases.
https://www.kyndryl.com/us/en/perspectives/articles/2024/03/distributed-cloud-at-the-edge
Mashable: Whoops, Samsung workers accidentally leaked trade secrets via ChatGPT
April 6, 2023: Never forget that anything you share with ChatGPT is retained and used to further train the model. Samsung employees have learned this the hard way after accidentally leaking top secret Samsung data.