Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The deployment of personal AI agents like Meta's Muse represents a structural shift in enterprise data loss prevention. Unlike conversational web chatbots where data movement is limited to manual user prompts, autonomous personal agents operate in cloud virtual machines, run continuous background tasks, and connect directly to enterprise SaaS platforms through OAuth integrations.

Our View from the Front Lines of Technical Assessments Kroll analyzed five years of penetration testing data. Of the trends that emerged, we focus on three in this report: the static application security testing (SAST)/software composition analysis (SCA) plateau, the need for more attention around authentication and authorization, and the security health divergence, which shows that regulation is not a reliable predictor of attack surface health.

A customer tells you they want off VMware. They have seen the headlines, looked at the latest renewal, and decided it is time to evaluate Nutanix, Proxmox, public cloud, or another virtualization platform. The opportunity appears straightforward: help them select an alternative and build the migration plan. But what if leaving VMware isn’t actually the best answer? A platform move is risky, time-consuming, and expensive.

A user signs in to an application and gets access to the dashboard. Later, the same user tries to change account settings or approve a high-value transaction. Suddenly, another verification step appears. Why? The risk has changed. Routine access and sensitive actions do not need the same level of protection. Step-up authentication lets organizations add stronger verification when users cross a higher-risk threshold, while keeping everyday access simple.

South Africans who fall victim to cybercrime now have more support available.