Shashank Gupta
staff software engineer
lookout
With over 12 years of experience at the crossroads of cloud security, artificial intelligence, and distributed systems, I've had the unique privilege of crafting, leading, and developing state-of-the-art security solutions. I've been at the forefront of pivotal initiatives like the Lookout Distributed Proxy Engine, Zero Trust Network Access (ZTNA), cloud sandboxing.
At Zscaler, I significantly contributed to AI/ML infrastructure, propelling the Zero-Day Threat Protection Service to new heights. I've also played key roles in product development for storage backup systems at giants like Commvault and EMC-Dell Isilon.
In my tenure at Arkose Labs, I architected the Traffic Shaper product – a testament of fusion of machine learning and security – aiming to mitigate volumetric DDOS attacks by botnets.
PATENTS (granted/pending)
1. Machine learning to determine domain reputation, content classification, phishing sites, and command and control sites (US20210377303A1)
2. Utilizing Machine Learning to detect malicious Office documents (US20220083661A1)
3. Machine learning model abstraction layer for runtime efficiency (US11475368B2)
4. Utilizing Machine Learning for smart quarantining of potentially malicious files (US20200320192A1)
5. Utilizing Machine Learning to detect malicious executable files efficiently and effectively (US20220083659A1)
6. Explaining internals of Machine Learning classification of URL content (US20220121984A1)
7. Utilizing Machine Learning for dynamic content classification of URL content (US20220067581A1)
2. Utilizing Machine Learning to detect malicious Office documents (US20220083661A1)
3. Machine learning model abstraction layer for runtime efficiency (US11475368B2)
4. Utilizing Machine Learning for smart quarantining of potentially malicious files (US20200320192A1)
5. Utilizing Machine Learning to detect malicious executable files efficiently and effectively (US20220083659A1)
6. Explaining internals of Machine Learning classification of URL content (US20220121984A1)
7. Utilizing Machine Learning for dynamic content classification of URL content (US20220067581A1)
With over 12 years of experience at the crossroads of cloud security, artificial intelligence, and distributed systems, I've had the unique privilege of crafting, leading, and developing state-of-the-art security solutions. I've been at the forefront of pivotal initiatives like the Lookout Distributed Proxy Engine, Zero Trust Network Access (ZTNA), cloud sandboxing.
At Zscaler, I significantly contributed to AI/ML infrastructure, propelling the Zero-Day Threat Protection Service to new heights. I've also played key roles in product development for storage backup systems at giants like Commvault and EMC-Dell Isilon.
In my tenure at Arkose Labs, I architected the Traffic Shaper product – a testament of fusion of machine learning and security – aiming to mitigate volumetric DDOS attacks by botnets.
PATENTS (granted/pending)
1. Machine learning to determine domain reputation, content classification, phishing sites, and command and control sites (US20210377303A1)
2. Utilizing Machine Learning to detect malicious Office documents (US20220083661A1)
3. Machine learning model abstraction layer for runtime efficiency (US11475368B2)
4. Utilizing Machine Learning for smart quarantining of potentially malicious files (US20200320192A1)
5. Utilizing Machine Learning to detect malicious executable files efficiently and effectively (US20220083659A1)
6. Explaining internals of Machine Learning classification of URL content (US20220121984A1)
7. Utilizing Machine Learning for dynamic content classification of URL content (US20220067581A1)
2. Utilizing Machine Learning to detect malicious Office documents (US20220083661A1)
3. Machine learning model abstraction layer for runtime efficiency (US11475368B2)
4. Utilizing Machine Learning for smart quarantining of potentially malicious files (US20200320192A1)
5. Utilizing Machine Learning to detect malicious executable files efficiently and effectively (US20220083659A1)
6. Explaining internals of Machine Learning classification of URL content (US20220121984A1)
7. Utilizing Machine Learning for dynamic content classification of URL content (US20220067581A1)
shashank.gupta.paper.review@gmail.com