Behavioral Security Beyond Known Attacks
Summary: The Blue Report highlights the limitations of signature-based security systems and emphasizes the need for behavioral analysis to counter evolving threats.
Key Findings from the Blue Report
The fourth annual Blue Report from Picus Labs highlights a critical gap in enterprise security strategies. While defensive systems effectively neutralize known threats, they often fail to detect more subtle variations of the same attack techniques. This discrepancy underscores the limitations of relying solely on signature-based detection mechanisms and emphasizes the need for behavioral analysis to identify and mitigate evolving threats.
Credential Theft and Attack Variations
The report reveals that enterprise security controls perform inconsistently when tested against different attack vectors. For example, when evaluating the effectiveness of defenses against credential theft, the same tool—Mimikatz—was deployed in three distinct ways. The classic method of extracting credentials from the LSASS process memory was blocked in 94% of cases. However, when attackers used alternative approaches—such as retrieving RDP credentials from non-standard memory locations or accessing LSA Secrets via the local registry—the success rate of these methods increased dramatically, with only 17% and 3% of attempts blocked, respectively.
IOC vs. TTP Testing
The core issue lies in the distinction between indicator of compromise (IOC)-based and technique and procedure (TTP)-based testing. IOC-based methods focus on identifying known malicious artifacts, such as specific malware samples or file hashes. While effective for blocking recognized threats, they are inherently reactive and vulnerable to evasion through minor modifications. In contrast, TTP-based testing evaluates whether security controls can prevent the underlying behavior of an attack, regardless of its execution method.
According to the report, an endpoint detection system should be able to block any attempt to extract credential material from a host, whether through LSASS memory, the registry, or other means.
Structural Asymmetry Between Attackers and Defenders
The report also emphasizes the structural asymmetry between attackers and defenders. Attackers can adapt their methods to avoid detection, while defenders often rely on static signatures that become obsolete as threats evolve. This dynamic is evident in the performance of perimeter defenses versus internal controls. While 69% of attacks were detected before reaching the network’s edge, this figure drops to just 31% once an adversary is inside the environment.
Internal Control Challenges
Once inside, lateral movement, user account control (UAC) bypasses, and credential reuse are detected in 90%, 85%, and 63% of cases, respectively. However, when attackers exploit passive techniques—such as reading credentials from memory or the registry—detection rates plummet to 22% and 10%.
Testing Security Controls Effectively
The findings underscore the importance of testing security controls against a wide range of attack scenarios. Traditional signature-based testing is insufficient for evaluating the resilience of endpoint and detection systems. Instead, organizations must adopt behavioral validation methods that simulate how attackers might exploit vulnerabilities in real-world conditions.
Tools for Behavioral Validation
Tools like Picus Swarm enable this by automating the execution of multiple attack variations across an environment, ensuring that defenses are tested against all potential pathways to sensitive data.
Broader Trends in Enterprise Security
The report also highlights broader trends in enterprise security. For instance, the most exploited vulnerabilities were neutralized in fewer than 25% of attempts, indicating a widespread failure to address known weaknesses. Additionally, the low alert rates and log scores suggest that many organizations lack the visibility needed to detect and respond to sophisticated threats.
Conclusion
The Blue Report 2026 concludes that securing modern enterprises requires a dual approach: maintaining robust perimeter defenses while strengthening internal controls through behavioral analysis. Organizations must move beyond reliance on signature-based systems and invest in solutions that can identify and disrupt attacks based on their actions rather than their signatures. This shift is not about expanding the security stack but about optimizing existing tools to address the full spectrum of threats.
