Active Resilience Deterrence

Abstract

This paper proposes Active Resilience Deterrence (ARD) as a tactical doctrine for CBRN response in the AI-augmented battlefield. ARD reframes the defender’s posture from passive damage limitation to active denial of adversary objectives by compressing the decide-act phase of the OODA Loop. The CBRN-CADS implementation demonstrates a 33x OODA compression at the battalion level, validating the doctrine’s operational feasibility.

1. Problem Statement

Conventional CBRN doctrine inherits an industrial-age assumption: that the defender’s task is to absorb the attack and restore baseline operations. This concedes the adversary’s primary objective — the temporary degradation of the defender’s offensive capacity — by definition. The defender wins the long fight (decontamination, medical response) while losing the short fight (operational tempo).

This concession is no longer tenable for three reasons:

1. Contemporary adversaries optimize for the short fight. Mission planning explicitly accounts for the defender’s CBRN response window and schedules follow-on action within it.
2. Dual-use threats blur the attribution boundary. The defender wastes critical decide cycles on attribution rather than action.
3. AI-augmented adversaries compress their own OODA. The defender’s OODA must compress in proportion or the relative tempo gap widens.

2. Definition

Active Resilience Deterrence (ARD) is the doctrine of denying the adversary the operational benefit of a CBRN action by acting faster than the adversary’s planning model anticipates.

Three constituent elements:

1. AI-compressed decide phase — The decide phase is automated for the most common 80% of scenarios, with human-in-the-loop escalation for the rest.
2. Predetermined response cards — A library of pre-approved tactical responses indexed by hazard signature, environmental conditions, and unit posture.
3. Adversary-facing signaling — Deliberate communication of response speed back to the adversary, recursively shifting their planning model.

3. Implementation: CBRN-CADS

UAM KoreaTech’s CBRN-CADS (Chemical Biological Radiological Nuclear Combat Decision Support) implements ARD at the battalion level. The system ingests sensor telemetry (chemical detectors, biosurveillance, radiological monitors) and produces three outputs:

• Hazard classification (NATO STANAG 2103 categories)
• Recommended tactical action (selected from the response card library)
• Confidence band (with explicit uncertainty quantification)

Patent KR 10-2026-0055778 (“GPS 거부 오염환경에서 유·무인 복합(MUM-T) 작전을 위한 자율 CBRN 제독 의사결정 시스템 및 방법”) covers the autonomous decision logic for GPS-denied contamination environments.

3.1 OODA Compression Measurement

Baseline (manual battalion CBRN response): observed 22–28 minutes from sensor trigger to first defensive action.

CBRN-CADS pilot: observed 38–48 seconds from sensor trigger to first defensive action.

Compression ratio: ~33x.

4. Compatibility with Existing Doctrine

ARD is not a replacement for NATO AJP-3.8 or DoD JP 3-11; it is a tempo accelerator that operates within their authority structures. The escalation thresholds, rules of engagement, and human-in-the-loop requirements are preserved.

5. Limitations

• Training data scarcity — Real CBRN events are rare, so the response card library is necessarily seeded with synthetic scenarios. Validation against red-team exercises is ongoing.
• Adversary adaptation — Once ARD becomes known, adversaries will adapt. The doctrine assumes continuous re-tuning of the response card library.

6. Conclusion

ARD reframes CBRN response from a defensive problem to a denial problem. CBRN-CADS demonstrates the operational feasibility of the doctrine at the battalion level. Future work will extend ARD to brigade and corps levels and validate the adversary-signaling element through allied red-team exercises.