#ai-security-risks

#ai-security-risks

Meta is working on two proprietary frontier models: Avocado, a large language model, and Mango, a multimedia file generator. The open-source variants are expected to be made available at a later date.

Estefania Angel noticed that while her company helped other enterprises set up AI, it did not use those systems internally. She began using AI apps in Slack, Outlook, and Google to track assignments, which garnered attention from her superiors.

The most dangerous assumption in quality engineering right now is that you can validate an autonomous testing agent the same way you validated a deterministic application. When your systems can reason, adapt, and make decisions on their own, that linear validation model collapses.

In June 2025, researchers uncovered a vulnerability that exposed sensitive Microsoft 365 Copilot data without any user interaction. Unlike conventional breaches that hinge on phishing or user error, this exploit, now known as EchoLeak, bypassed human behavior entirely, silently extracting confidential information by manipulating how Copilot interacts with user data. The incident highlights a sobering reality: Today's security models, which are designed for predictable software systems and application-layer defenses, are ill-equipped to handle the dynamic, interconnected nature of AI infrastructure.