Technology giants Amazon, Apple, Facebook, Netflix and Google lost more than $260 billion in total market value in February. Although the decline couldn’t be entirely attributed to Facebook’s catastrophic mishandling of customer data, industry experts speculate that the possibility of greater regulatory scrutiny is scaring away investors.

Although the tech sector is responsible for a number of massive data breaches, privacy intrusions, and fraud, there are companies such as IPsoft that are working every day to design products that meet your company’s specific security needs. We want CIOs who work with us to know that we’re doing everything in our power to secure their data and give them peace-of-mind.

Security is an important consideration for businesses that are considering deploying cognitive tools. They expect the tools to be two things: 1) a means for improved security processes, and 2) a secure repository for customer and business data. For the most part, cognitive tools have met the first expectation. According to an HFS survey, 59% of respondents from the C-Suite stated that their expectations were exceeded with regards to cognitive tool security. Cognitive tools have been shown to help with fraud detection, document permission control, and improving process flow, the report states.

But what about that second expectation? Are cognitive tools secure? Sure, they can stop someone from hacking into a bank account or running a denial-of-service attack on a company’s network, but are these tools bulletproof in terms of their own penetrability. We believe IPsoft is the most secure cognitive tool on the market.

For starters, we allow you to run Amelia, our AI digital colleague, on-premises. Hosting Amelia in your own data center is the most secure deployment option available. When you host Amelia yourself, you’re creating fewer points of data transit. Instead of pulling your client’s data onto a public cloud and then into your network, you’ll be able to operate Amelia with direct links to your data. Sure, Amelia will still be interacting with customers and colleagues via the internet, but you’ve limited the number of transit points through which data can be accessed by nefarious actors.

Some companies with products primarily based in the cloud allow you to build a system via a combination of application programming interfaces (API). Whenever these APIs transmit data to your network, each individual API transmission exposes your business to data theft. When Amelia is deployed on-premises, she’s operating within a closed ecosystem, in one secure build, which means that your data only leaves your network when it goes to and from the communication channel. We offer an Amelia API for those who prefer it, and when Amelia is hosted in the cloud, we always establish a secure network connection with all necessary protocols to ensure that cloud-based information is as secure as possible.

Competing vendors will argue that cloud-based deployments help AI learn faster. After all, as AI handles transactions it becomes more intelligent and improves its own performance. However, for larger companies that field an enormous number of transactions, an on-premise deployment will learn quickly enough to produce business value; therefore, the risk of exposing your data to third parties is greater than the minimal amount of time saved by using cloud-based data sources.

Judging from the HFS study, customer expectations around security with cognitive tools are just as high as with other parts of their IT infrastructure and services. Amelia can meet these expectations because of her innate ability to securely handle corporate data, and because she can be deployed in a secure manner.