Security and IT teams don’t require to spend for SaaS-Shadow IT discovery anymore, and this is excellent news for companies struggling to keep up with the fast-paced SaaS adoption trend. The traditional approach to discovering shadow IT has been expensive and cumbersome, leaving many organizations vulnerable to various security threats. However, a new technology solution promises to revolutionize how companies deal with shadow IT.

Advanced Algorithms and Machine Learning for SaaS Discovery

The new solution uses advanced algorithms and machine learning to detect and categorize all SaaS applications running on a company’s network, whether or not they were approved by IT. Doing so provides a complete view of an organization’s SaaS environment, helping IT and security teams identify and eliminate potential security risks. 

This technology is a game-changer for companies that want to stay ahead of the curve and keep their data secure.

Real-time Visibility into SaaS Usage

The new solution offers real-time visibility into an organization’s SaaS usage without relying on costly third-party discovery tools. This enables IT and security teams to quickly identify and address any potential security risks, such as unauthorized data sharing or unpatched vulnerabilities before they can cause any damage. 

This real-time visibility ensures that companies can stay ahead of potential security risks and prevent any damage to their business.

Also, See: Network Security 101: Protecting Your Data and Devices

Cost Savings for Companies

The launch of this new solution represents a significant cost-saving opportunity for companies. Traditionally, companies have had to rely on expensive third-party discovery tools, which require extensive manual effort and could take weeks or even months to generate results. 

This technology offers an affordable alternative to these expensive discovery tools, providing companies an efficient and cost-effective way to discover shadow IT and protect their data.

Faster Response to Security Threats

The real-time visibility offered by this new solution means that companies can respond to security threats faster than ever. This is crucial in today’s fast-paced business environment, where a single security breach can severely affect a company’s reputation and financial health. 

With this new technology, IT and security teams can respond to threats in real time, ensuring that their data and systems are protected from potential security risks.

Conclusion

Launching this new technology solution is a game-changer for IT and security teams. The advanced algorithms and machine learning used to detect and categorize all SaaS applications running on a company’s network provides real-time visibility into an organization’s SaaS usage without relying on costly third-party discovery tools. 

This technology offers a cost-effective and efficient way for companies to discover shadow IT and protect their data from potential security risks. With this new technology, IT and security teams can respond to threats in real time, ensuring that their data and systems are protected from potential security risks.