Security teams commonly test individual security controls, such as EDR agents, phishing simulations, or SIEM rules, to see if they detect specific techniques. While this validation is often continuous in mature organizations, it overlooks the reality of how adversaries operate. Attackers do not use isolated techniques; instead, they chain them together, moving from initial access to privilege escalation, lateral movement, and data exfiltration.
The primary issue is that even if individual security controls are theoretically capable of catching a step, the overall sequence of an attack often slips through the gaps between disparate tools, teams, and alerts. This 'exposure gap' means that security postures, despite being validated against individual techniques, can fail when faced with a multi-stage attack. Breach and attack simulation programs, even advanced ones, typically rely on libraries of individual techniques mapped to frameworks like MITRE ATT&CK, which does not account for chained attacks.
This is not merely a theoretical concern. A report by Filigran indicates that 93% of security leaders experienced a business-impacting cyberattack in the past year, despite having validated their defenses. Furthermore, 88% acknowledge that AI accelerates attacker movement once inside a network, and 84% attribute this vulnerability to siloed tools and disconnected testing practices. The effectiveness of security measures is compromised when they cannot collectively detect a full attack path.
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Current security testing methods, which focus on individual techniques, fail to address how real attackers chain multiple steps together to breach systems. This gap between testing techniques and testing full attack chains leaves organizations vulnerable, despite validated individual controls. The industry needs to adapt its testing strategies to simulate multi-stage attacks to effectively counter modern threats.