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SaaS applications have revolutionized the way businesses operate, allowing access to services and data from anywhere via the Internet. However, this advancement brings with it significant challenges in terms of cybersecurity.
SaaS Growth and its Challenges
The adoption of SaaS solutions has grown exponentially across all industries. A recent study indicates that the average company uses more than 2,400 cloud applications and services. This increase is also reflected in the use of unmanaged applications, known as shadow IT. Despite efforts to control this phenomenon, the rapid adoption of generative artificial intelligence tools by employees is a clear example that the problem persists.
According to Netskope’s Cloud and Threat Report, more than 10% of users access generative AI applications on a monthly basis, and the top 25% of users have significantly increased their usage. SaaS proliferation becomes a problem when organizations lose visibility into the applications they use and the associated risks. Lack of control can result in security incidents, compliance issues, and exposure of sensitive data.
Gaining Visibility into the SaaS Ecosystem
Having visibility into SaaS usage allows organizations to understand how their employees interact with different applications, identify specific vulnerabilities, and assess the overall associated risk, enabling them to make informed decisions to manage risk and maximize the value of their SaaS investments. Traditional cloud access security brokers (CASBs) often rely on manual processes to identify and categorize applications, which limits their effectiveness.
Netskope’s advanced CASB solution, part of its unified Netskope One platform, enables agile management of SaaS usage, whether IT-managed or not. The Netskope Cloud Confidence Index™ (CCI) automatically audits traffic to reveal the risk profile associated with each application used in the organization. This index uses machine learning to categorize risks based on objective criteria related to security and operational resilience.
Innovations in SaaS Security with Generative AI
Netskope is positioned as a leader in proactively addressing today’s challenges in SaaS security. The company has enhanced its ability to categorize risks using advanced algorithms based on generative AI and deep language models (LLMs). This approach enables fast and accurate risk assessment by analyzing relevant contextual data. The generative AI engine not only classifies new, uncataloged applications, but also enables users to add applications to the CCI without the need for external oversight. In addition, LLMs provide answers to specific queries in natural language about risks associated with each application.
With this technology, Netskope provides a solid foundation for effective risk management in an ever-evolving SaaS environment. Organizations can set precise security policies based on specific categories and associated risk scores.
A New Era in SSE Security
Leveraging the power of generative AI, Secure Service Edge (SSE) solutions are evolving to provide advanced, real-time protection. This technology enables massive volumes of data to be analyzed quickly and accurately, streamlining threat identification and reducing the burden on security teams.
Key Benefits of Generative AI in SSE
A Continuing Commitment to Safety
Netskope is committed to maintaining high security standards within the SaaS ecosystem, earning recognition as a Leader in the Gartner Magic Quadrant for Security Service Edge (SSE) for three consecutive years. By integrating generative AI and LLM-powered capabilities into its CASB, Netskope strengthens security and ensures regulatory compliance.
Don’t be left behind in the evolution of cybersecurity. Contact us today to find out how we can help you strengthen your cloud security strategy!
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