Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security configuration management ensures systems remain securely configured by detecting and correcting drift. Traditional baseline checks fall short in modern, fast-changing environments. A continuous SCM approach enables proactive detection, intelligent change control, and audit-ready reporting, helping organizations reduce risk and maintain compliance at scale.

Traditional RAG creates risk. In enterprise AI, accuracy and security aren’t optional. Most vector-only databases are built for speed, but they ignore enterprise realities like security and compliance. Without context, access controls, or accurate recall, they create compliance gaps that make AI unsafe for regulated industries. At Protecto, we built GPTGuard to change that — making enterprise AI safe by preventing data leaks, enforcing privacy, and keeping compliance intact.

One can’t discuss the modern state of endpoint security without mentioning a term that has quickly become ubiquitous with security solutions: artificial intelligence (AI). With a constantly evolving threat landscape and many security challenges plaguing organizations (e.g sprawling attack surfaces, monitoring and continuity gaps, alert overload, and limited resources), it’s clear that endpoint security must evolve as well, and the most-promising advancement is AI.

On August 20, 2025, Salesloft published an advisory describing a security issue potentially affecting the Salesloft Drift integration with Salesforce. On August 26, Google Threat Intelligence Group (GTIG) provided additional details about the campaign, in which a threat actor known as UNC6395 authenticated against Salesforce customer instances using compromised OAuth tokens tied to the Salesloft Drift integration with Salesforce.