A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity researchers. The flaw allows attackers with only Storage Account access to ...

Ed, Microsoft's Dan Coleman explains how agencies can integrate identity, telemetry, and real-time visibility across their environments to establish a more secure zero-trust posture.

Utterance classification is a critical pre-processing step for many speech understanding and dialog systems. In multi-user settings, one needs to first identify if an utterance is even directed at the ...

Traffic classification is a fundamental tool for network management, measurement and security. As the new services with diversified QoS requirements are evolving, traffic classification plays a more ...

A lot of these models perform significantly better with the exception of Gemini, which was our best performing model and still appears to me confused by the examples we chose here. These models were ...

Anomaly detection is a critical aspect of various applications, including security, healthcare, and network monitoring. In this study, we introduce FusionNet, an innovative ensemble model that ...

Specific versions of Anthropic and Meta’s AI models with this FedRAMP authorization include Claude 3.5 Sonnet v1, Claude 3 Haiku, Llama 3 8B and Llama 3 70B.