Posts by Rahul Mehta
10 Best Practices for Effective Enterprise Data Protection
Discover 10 actionable data protection strategies to secure sensitive enterprise data across hybrid, cloud, and edge environments
Nine best practices for effective enterprise data protection
Discover enterprise data protection best practices that secure hybrid environments – from zero trust access to centralized data loss prevention. Learn how.
The Rise of Slopsquatting: A New Software Supply Chain Threat
As organizations increasingly embrace AI-powered coding tools to accelerate development and reduce engineering overhead, a new threat is emerging at the intersection of generative AI and open-source software (OSS): slopsquatting.
Securing the Open Source Supply Chain: A Network-Centric Approach
The widespread use of OSS — from foundational operating systems like Linux to orchestration platforms like Kubernetes — has enabled rapid development and faster innovation. However, as OSS adoption accelerates with the rise of GenAI tools and platforms, so too does the complexity and risk associated with securing open source software. This blog is intended for IT and security leaders who recognize these challenges and are seeking effective strategies to address them.
Shadow AI and data leakage: How to secure generative AI at work
Shadow AI data leakage threatens enterprises as 56% of employees use GenAI without oversight. Learn how to secure generative AI with policy and controls.
Addressing the OWASP Top 10 for LLM Applications
OWASP Top 10 for Large Language Model (LLM) Applications, highlighting critical security vulnerabilities such as prompt injection, data poisoning, and system prompt leakage. It emphasizes the need for proactive security measures, including Zero Trust principles, access controls, and continuous monitoring to protect AI-driven applications from emerging threats.
Industry Insights
10 Best Practices for Effective Enterprise Data Protection
By Rahul Mehta
Product Marketing Analyst
July 10, 2025
Discover 10 actionable data protection strategies to secure sensitive enterprise data across hybrid, cloud, and edge environments
Company Updates
Nine best practices for effective enterprise data protection
By Rahul Mehta
Product Marketing Analyst
July 9, 2025
Discover enterprise data protection best practices that secure hybrid environments – from zero trust access to centralized data loss prevention. Learn how.
Industry Insights
The Rise of Slopsquatting: A New Software Supply Chain Threat
By Rahul Mehta
Product Marketing Analyst
June 12, 2025
As organizations increasingly embrace AI-powered coding tools to accelerate development and reduce engineering overhead, a new threat is emerging at the intersection of generative AI and open-source software (OSS): slopsquatting.
Industry Insights
Securing the Open Source Supply Chain: A Network-Centric Approach
By Rahul Mehta
Product Marketing Analyst
April 15, 2025
The widespread use of OSS — from foundational operating systems like Linux to orchestration platforms like Kubernetes — has enabled rapid development and faster innovation. However, as OSS adoption accelerates with the rise of GenAI tools and platforms, so too does the complexity and risk associated with securing open source software. This blog is intended for IT and security leaders who recognize these challenges and are seeking effective strategies to address them.
Industry Insights
Shadow AI and data leakage: How to secure generative AI at work
By Rahul Mehta
Product Marketing Analyst
March 16, 2025
Shadow AI data leakage threatens enterprises as 56% of employees use GenAI without oversight. Learn how to secure generative AI with policy and controls.
Industry Insights
Addressing the OWASP Top 10 for LLM Applications
By Rahul Mehta
Product Marketing Analyst
March 5, 2025
OWASP Top 10 for Large Language Model (LLM) Applications, highlighting critical security vulnerabilities such as prompt injection, data poisoning, and system prompt leakage. It emphasizes the need for proactive security measures, including Zero Trust principles, access controls, and continuous monitoring to protect AI-driven applications from emerging threats.
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