Post by account_disabled on Sept 10, 2023 11:00:28 GMT
I would like to propose several solutions to solve this problem. Some of you may be thinking that this is a classic CASB (Cloud Access Security Broker) problem and that we've been solving this shadow IT problem for years. This is generally true. Companies such as Netskope and Zscaler, known for providing CASB solutions in their product lines, offer enterprise policy management toolsets for managing generative AI apps.
Of course, other products Phone Number List provided by major CASB solution companies can also help manage generative AI apps, and CASB solutions also require appropriate deployment and configuration to help with governance.
What is certain is that CASB toolsets will not solve all generative AI app problems. Companies must address other issues related to licensing, app proliferation, security and privacy policies and procedures, and more. You should also consider training-related issues, product evaluation, and business workflow management. Simply put, it’s a question of whose job it is to research different options and optimize which generative AI approach is best for a public or private sector organization or specific business area.
The increased importance of security decisions
Nonetheless, the CASB toolset can provide a foundation for enforcing acceptable policies and procedures for the use of generative AI apps. What concerns me is that many public and private organizations are not carrying out these time-consuming governance tasks carefully or at all. In my view, we have entered a phase where end users are amazed by generative AI, and this phase will probably continue for quite some time. End users are experimenting with a variety of free generative AI tools that have the real potential to bring about dramatic changes in business productivity, without much concern about the negative consequences that may arise in the process in terms of security, privacy, etc.
History repeats itself. Just as security leaders of the past tackled new technologies like Wi-Fi networks, cloud computing, BYOD policies, and IoT, security professionals looking to enable the good and block the bad when it comes to new generative AI technologies must meet these challenges. . Who should make decisions about what is and is not acceptable is a business decision that each organization must address. What is clear is that its importance is greater than ever.
Of course, other products Phone Number List provided by major CASB solution companies can also help manage generative AI apps, and CASB solutions also require appropriate deployment and configuration to help with governance.
What is certain is that CASB toolsets will not solve all generative AI app problems. Companies must address other issues related to licensing, app proliferation, security and privacy policies and procedures, and more. You should also consider training-related issues, product evaluation, and business workflow management. Simply put, it’s a question of whose job it is to research different options and optimize which generative AI approach is best for a public or private sector organization or specific business area.
The increased importance of security decisions
Nonetheless, the CASB toolset can provide a foundation for enforcing acceptable policies and procedures for the use of generative AI apps. What concerns me is that many public and private organizations are not carrying out these time-consuming governance tasks carefully or at all. In my view, we have entered a phase where end users are amazed by generative AI, and this phase will probably continue for quite some time. End users are experimenting with a variety of free generative AI tools that have the real potential to bring about dramatic changes in business productivity, without much concern about the negative consequences that may arise in the process in terms of security, privacy, etc.
History repeats itself. Just as security leaders of the past tackled new technologies like Wi-Fi networks, cloud computing, BYOD policies, and IoT, security professionals looking to enable the good and block the bad when it comes to new generative AI technologies must meet these challenges. . Who should make decisions about what is and is not acceptable is a business decision that each organization must address. What is clear is that its importance is greater than ever.