
How AI Agents Are Writing Custom Exploits
AI agents with reasoning capabilities like DeepSeek are revolutionizing exploit development, marking the end of traditional security approaches based on static rules and patterns.
AI agents with reasoning capabilities like DeepSeek are revolutionizing exploit development, marking the end of traditional security approaches based on static rules and patterns.
Examine why current security solutions fail to detect and mitigate threats from residential proxies, and the need for comprehensive protection strategies.
An in-depth exploration of the JA4+ network fingerprinting method, its applications, and its role in cybersecurity.
Deep dive into Robust Random Cut Forest (RRCF) implementation for real-time anomaly detection in Application Security Platforms. Learn how advanced machine learning algorithms enhance threat detection and automated response capabilities.
This article explores the use of Double Median Absolute Deviation (Double MAD) for anomaly detection in time series data, particularly in skewed or non-symmetric distributions.
Explores various thresholding techniques like Median Absolute Deviation (MAD), Min/Max, and Z-Score for interpreting Robust Random Cut Forest (RRCF) anomaly scores, crucial for classifying data points as normal or anomalous.
Does TLS extension randomisation assist in hiding Chrome?
What is fingerprinting, and in particular TLS fingerprinting?
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