WHO ARE WE?

We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy!

CloudSEK, one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention.

Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including:

CloudSEK’s Product Suite:

• CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support.
• A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets.
• CloudSEK’s Contextual AI SVigil identifies software supply chain risks by monitoring Software, Cloud Services, and third-party dependencies.

Key Milestones:

• 2016: Launched our first product.
• 2018: Secured Pre-series A funding.
• 2019: Expanded operations to India, Southeast Asia, and the Americas.
• 2020: Won the NASSCOM-DSCI Excellence Award for Security Product Company of the Year.
• 2021: Raised $7M in Series A funding led by MassMutual Ventures, with total investment in to $10M
• Awards & Recognition: Won NetApp Excellerator's "Best Growth Strategy Award," CloudSEK XVigil joined NVIDIA Inception Program, and won the NASSCOM Emerge 50 Cybersecurity Award.