We have a team of dedicated ML scientists, security researchers, and product engineers who have track records of solving security and fraud problems in different domains with over 100 patents. Leveraging our expertise in AI/ML and security, we are developing large-scale AI/ML solutions for SSE. For example, we are integrating the latest AI/ML technology into our data security and threat protection features, as well as business operations.
We have found AI/ML to be quite valuable when it comes to helping organizations comply with industry and governmental regulations such as GDPR, CCPA, PCI, and HIPAA. For example:
AI/ML has useful application in protecting enterprise assets from being compromised and weaponized for malicious activities including data exfiltration, botnets, spam, and so on.
Netskope uses AI/ML to proactively monitor our cloud production environment to ensure the efficient and effective delivery of secure access service edge (SASE) capabilities.
Network optimization requires vast amounts of data about network activity, application use, and application performance. AI/ML helps optimize access and performance in a number of ways, including:
As a leader in the transformation of network, cloud, and data security, we are committed to the responsible use of artificial intelligence and machine learning. We will work with peers, academia, thought leaders, and governments alike to safely direct AI/ML efforts in a way that will benefit and not cause harm to our customers, partners, employees, and their families. We will take precautions and maintain a posture of transparency in our efforts.
Understanding the Risks of Prompt Injection Attacks on ChatGPT and Other Language Models
Build a Culture and Governance to Securely Enable ChatGPT and Generative AI Applications—Or Get Left Behind
Wir würden uns freuen, von Ihnen zu hören!