Threat churn is relentless. Indicators expire, malware hashes rotate, infrastructure is burned, and attacker tooling evolves daily. Detection strategies built on fragile signals fail quietly, leaving organizations exposed without realizing it.

At Argus Defense, detection resilience is designed intentionally.

Why Indicator-Based Detection Fails

Atomic indicators—hashes, IPs, domains—are inherently short-lived. While useful for immediate containment, they cannot form the foundation of a durable detection strategy.

Attackers adapt faster than indicator feeds update. Relying on indicators alone creates a false sense of security.

Behavior Over Artifacts

Resilient detections focus on what attackers do, not what tools they use.

Argus Defense builds detections around:

• Credential abuse

• Lateral movement techniques

• Privilege escalation behaviors

• Persistence mechanisms

• Data exfiltration patterns

These behaviors remain consistent even as tools change.

Mapping to the Kill Chain

Detection coverage is aligned to the attack lifecycle:

• Initial access

• Execution

• Persistence

• Privilege escalation

• Lateral movement

• Command and control

• Exfiltration

By mapping detections across stages, single-point failures are avoided.

Detection in Depth

Just as defense requires layered controls, detection requires layered visibility.

Argus Defense correlates signals across:

• Endpoint telemetry

• Identity activity

• Email events

• Cloud control plane logs

• Network indicators

This overlap ensures resilience when one data source degrades.

Contextual Correlation

Single signals are rarely decisive. Correlation across domains transforms weak signals into high-confidence detections.

Examples include:

• Identity anomalies combined with endpoint execution

• Email compromise followed by cloud API abuse

• Endpoint persistence paired with unusual outbound traffic

This correlation withstands threat churn.

Continuous Validation

Resilient detections must be tested. Argus Defense validates detection efficacy through:

• Adversary simulation

• Purple teaming

• Incident replay

• Threat hunting feedback

Testing ensures detections work today, not just on paper.

Engineering for Change

Detection logic is version-controlled, documented, and continuously refined. Changes in the environment trigger reviews and updates.

This engineering discipline prevents detection drift.

Avoiding Overfitting

Overly specific detections fail when attackers slightly modify behavior. Argus Defense intentionally avoids overfitting, favoring generalized logic that tolerates variation.

Measuring Resilience

Detection resilience is measured through:

• Coverage breadth

• False negative discovery rate

• Time-to-detection during simulations

• Detection survivability across campaigns

These metrics reveal strength beyond alert volume.

Designed to Endure

Detection programs should age gracefully, not decay silently.

At Argus Defense, resilience is engineered so detections remain effective even as threats evolve.