Clean automated pentest reports can mislead leaders

Autumn Stambaugh and Can Yüceel of Picus Security told attendees in a recent webinar that repeated automated penetration tests can produce stable-looking reports that create a false sense of security among leadership.

The presenters explained that when the same automated tool runs multiple times, it often finds fewer issues after initial scans. That decline can occur because obvious weaknesses have been fixed or because the scanner has reached the limit of what it can detect. Report stability can therefore reflect limits in the tool rather than improved defenses.

Picus frames security validation as six separate surfaces and places automated pentesting on one: the attack path. The company lists detection rules, cloud configuration checks, identity controls and AI-related guardrails among the other surfaces that automated attack-path tests do not validate.

The presenters highlighted a practical difference between demonstrating that an attack technique works and proving that it would be detected. An automated test can show that credential dumping or lateral movement is possible, but it cannot show whether an endpoint detection product raised an alert, whether a security information and event management system logged the activity, or whether analysts in a security operations center would have had enough signal to respond.

Breach and attack simulation tools address a different question: whether existing controls react when known malicious behavior occurs. These tools record whether activity is blocked, detected, logged or missed. The speakers described breach and attack simulation as complementary to automated pentesting because it provides evidence of control effectiveness.

The presenters recommended that teams avoid treating repeated automated pentests as a complete validation program. They urged organizations to map technical findings to control responses and to build a remediation queue based on whether attacker behavior would have been observed or stopped by controls.

As practical steps, Stambaugh and Yüceel advised security teams to check whether automation has plateaued in what it can detect, then run additional validation that exercises detection logic, cloud settings and identity controls. They said combining attack-path testing with control validation produces a clearer operational view for prioritizing fixes.

The webinar included examples and demonstrations of gaps that can remain when teams rely solely on repeated automated scans, and it concluded with guidance on pairing automated pentests and control-testing tools to produce more evidence for remediation decisions.