Failure Pattern
SIEM tools correlate logs based on metadata that does not reflect true system identity. Attackers exploit false attribution to hide activity.
What We See in the Field
Logs appear to show legitimate systems performing actions. In reality, compromised workloads reuse names, IPs, or certificates. Investigations chase false leads because identity is unreliable.
Underlying Causes
SIEM logs inherit wrong identity
Duplicate metadata
Identity drift in elastic environments
Shallow attribution in event pipelines
Lack of tamperproof identity source
Trust-Native Network Resolution
DTL embeds verified TrustKeys into session metadata. All logs reflect ground-truth identity rather than inferred identity. Analysts see the actual actor behind every action.
Broken Trust Assumption
This failure pattern has played out repeatedly in real security incidents—not because of missing tools, but because of how trust is assigned.
In breaches such as SolarWinds, Capital One, Okta, and MOVEit, attackers did not bypass security controls. They operated through them, using valid identities, trusted credentials, signed code, and encrypted sessions. Security systems accepted these signals as proof of legitimacy, allowing malicious behavior to proceed.
The common thread across these incidents is structural: identity was assumed based on trust signals, not proven at the moment of execution.