- Netskope stated that the latest SkopeAI features aim to surpass the constraints of conventional cybersecurity tools, delivering improved data loss prevention capabilities.
- As per Netskope’s latest Cloud and amp; Threat Report, released recently, organizations with 10,000 or more users access an average of five generative AI apps daily.
Netskope Inc., a cloud security and networking startup, is enhancing its suite of AI-powered cybersecurity tools to counter data loss from the increasing adoption of generative AI technologies.
Netskope stated that the latest SkopeAI features aim to surpass the constraints of conventional cybersecurity tools, delivering improved data loss prevention capabilities.
Established in 2012, Netskope provides a Secure Access Service Edge (SASE) platform, offering comprehensive discovery, visibility, and precise control over authorized and unauthorized cloud applications. The company secured an impressive USD 401 million funding round earlier this year. Its flagship Intelligent Security Service Edge (ISSE) delivers a unified, cloud-based solution, revolutionizing perimeter security. This empowers companies to address cloud, data, and network security challenges effectively.
Netskope emphasizes that enterprises urgently require heightened data protection technologies driven by the increasing prevalence of unstructured data.
International Data Corp. projections indicate that nearly 80% of enterprise data will be unstructured by 2025. This includes images, generative AI application prompts, scanned written documents, messages in collaboration apps, and more. Legacy data protection tools face challenges in adequately identifying and analyzing unstructured data, posing a significant problem.
Simultaneously, enterprises are increasingly relying on generative AI applications. As per Netskope’s latest Cloud and amp; Threat Report, released recently, organizations with 10,000 or more users access an average of five generative AI apps daily. Sending sensitive data to these tools is inevitable, posing increased organizational risks.
Netskope stated that the latest advancements in SkopeAI, available now, are specifically engineered to mitigate these threats. SkopeAI now provides enhanced contextual awareness, enabling it to detect, analyze, and safeguard unstructured data across the organization.
Simultaneously, its latest automated data classification and “Train Your Own Classifiers” technology can automatically find and segment new data through a “train-and-forget” approach.
Netskope emphasizes that this approach will enable them to implement the most suitable safeguards, ensuring data protection effectively.
Netskope’s recently announced safeguards for ChatGPT and other chatbots, along with the new techniques, analyze the information flow to prevent the uploading of sensitive data.
Aside from these added capabilities, SkopeAI is receiving updates of new AI-powered threat detection features, which enable it to identify and defend against various attacks, novel phishing web domains, polymorphic malware, zero-day threats, and malicious web content, according to the company’s statement.
Holger Mueller of Constellation Research Inc. stated, “Unstructured data has a very different nature to structured data, which has been the focus of numerous offerings to manage and protect it. As the amount of unstructured data grows and it becomes more widely used, enterprises require a different set of tools to take care of it. So AI looks to be coming to the rescue, enabling a new level of automation.”
Netskope Co-founder and Chief Executive, Sanjay Beri, revealed that his company has been employing advanced AI techniques to detect threats and protect data well before these technologies became popular.
He stated, “Netskope has fully aligned the use of AI and machine learning with the needs of modern security and threat defense, democratizing access to data security. SkopeAI unleashes the power of AI and ML to protect structured and unstructured data and defend enterprises from ever-evolving threats.”