Akheros is a cybersecurity platform focused on anomaly-based intrusion detection using a patented algorithm (patented since 2003) designed to reduce false positives and false negatives in threat detection. Unlike normative (signature-based) intrusion detection systems, Akheros does not rely on prior knowledge of "bad behaviors." Instead, it measures the relative intensity of incongruities across network nodes, allowing it to detect threats even in highly turbulent or unpredictable environments where traditional systems would generate excessive alerts. Key operational approach: - Measures the velocity and relative intensity of behavioral changes on each node - Benchmarks incongruity across a population of endpoints to identify the "most incongruous" behavior - Operates effectively in high-mobility or chaotic environments (e.g., disaster zones, battlefields, emergency response) where false positive rates typically spike - Respects environmental singularity, avoiding alert fatigue caused by high variance conditions The system targets use cases including M2M (machine-to-machine) communications and C4I2 (Command, Control, Communications, Computers, Intelligence, and Interoperability) applications, particularly in contexts where traditional signature-based detection fails due to the rapid emergence of new malware variants.