Imagine slashing the time spent on code reviews while catching more bugs and vulnerabilities than ever before. That’s the promise of AI-driven code review tools. With 42% of large and enterprise organizations already integrating AI into their IT operations , the future of software development is here. These tools can swiftly detect syntax errors, enforce coding standards, and identify security threats, making them invaluable to development teams. However, as powerful as AI is, it has its pitfalls.

In this episode of Trust Issues, host David Puner welcomes back Lavi Lazarovitz, Vice President of Cyber Research at CyberArk Labs, for a discussion covering the latest developments in generative AI and the emerging cyberthreats associated with it. Lavi shares insights on how machine identities are becoming prime targets for threat actors and discusses the innovative research being conducted by CyberArk Labs to understand and mitigate these risks.

Data privacy and security are critical concerns for businesses using Large Language Models (LLMs), especially when dealing with sensitive information like Personally Identifiable Information (PII) and Protected Health Information (PHI). Companies typically rely on data masking tools such as Microsoft’s Presidio to safeguard this data. However, these tools often struggle in scenarios involving LLMs/AI Agents.

This is the third blog in our series, where we embark on a journey of Branch Transformation with the Next Gen SASE Branch solution. Built on the Netskope One SASE platform, the Next Gen SASE Branch solution combines its three layers–Context-aware SASE Fabric, Zero Trust Hybrid Security, and a SkopeAI-powered Cloud Orchestrator–into a unified cloud offering.