Cybersecurity defenses based on signatures and Indicators of Compromise (IOCs) are increasingly inadequate against modern threats, as adversaries continuously adapt their techniques and infrastructures, often using encryption and legitimate tools to bypass traditional defenses. Signatures, while still valuable for identifying unsophisticated attacks and aiding in understanding the extent of known intrusions, fall short due to their specificity and the evolving nature of threats. To enhance detection and prevention, it's crucial to incorporate additional layers of defense by monitoring low-level attacker techniques within operating systems and conducting threat hunting for suspicious patterns across systems. This approach involves leveraging frameworks like Mitre's ATT&CK to identify common adversary techniques, employing automation, analytics, and machine learning to scale threat hunting, and combining these methods with traditional signature-based detections. By integrating these strategies, organizations can better detect unknown intrusions and increase their chances of thwarting adversaries before significant damage occurs.