Threats are hiding in your data.

That's all it takes to cripple a system. The math favors the adversary at every step. Most organizations won’t know they’ve been compromised until it’s operationally too late.

THE MISSION CHALLENGE

Modern AI systems expose a massive attack surface.

Adversaries target the gap between data and decisions.

Adversaries can trick AI models into misidentifying targets and assets in high-risk mission operations — and these attacks are inexpensive, easy to implement, and invisible to standard cybersecurity tools.

Not the network. Not the system. The model, the data, and the mission outcomes are the target — below the visibility threshold of every tool in your current stack.

Target suppression

High-value assets rendered invisible to AI Vision models via digital or physical perturbation.

Misclassification

Critical targets are misidentified. A threat becomes background terrain in the output.

Sensor saturation

False alarms flood the system, causing operator fatigue and loss of mission trust.

Pipeline poisoning

Covert backdoors embedded in training data await adversarial activation.

ADVERSARIAL AI DEFENSE PLATFORM

Nights Watch protects every stage of the AI lifecycle for one continuous defense posture.

Night’s Watch is an integrated, non-invasive defense and assurance layer designed to ensure AI validity from development through active deployment. Mission intelligence remains a strategic asset—not a vulnerability—enabling 100% operational confidence.
  • CRUCIBLE
Pre-deployment validation

Red Team test range. Subjects AI models to adversarial stress conditions using a comprehensive attack suite — validating robustness before deployment. Know exactly how a model fails, how badly, and where.​

  • Robustness reports & scoring
  • Run custom adversarial AI attacks on object detection, segmentation & classifier models
  • Degraded conditions simulation
  • Proprietary attack libraries
  • Robustness reports
  • Corpus screening
  • WATCH TOWER
Command & control

No-code AI pipeline workbench. Users visualize, audit, and manage AI pre-deployment and operational security posture. Deploy attacks and defenses on videos, live streams, and still images.

  • Command-level AI assurance view
  • Red & blue teaming interface
  • COA analysis of vulnerabilities
  • Incident documentation & audit trail
  • Audit trails
  • Compliance management
  • No-code interface
  • SENTINEL
Run-time detect & defend
Persistent monitoring engine. Detect, alert, and recover before mission impact.​ Determines if data is adversarial or models are compromised—alerting users to review for operational use or quarantine.
  • Real-time threat detection
  • 97% field-tested accuracy
  • Automatic quarantine with HIL alerts
  • 99% model performance recovery
  • 3-pronged detection
  • Real-time alerts
  • Auto recovery
  • 97% accuracy
THREAT BRIEF

How your AI pipeline  gets compromised.

Operationally achievable Adversarial AI attacks scenarios that exploit the scale and openness of modern AI pipelines — no privileged user access required.

Adversarial Patch Attack on EO/IR Targeting Models

THE ATTACK

An adversary applies a small physical or digital pattern to a target — a vehicle, facility, or piece of equipment — designed to exploit known weaknesses in the deployed AI Vision model.

THE MISSION RISK

Mission outcome altered. The model receives imagery containing the perturbed target. It returns high confidence — wrong. The target ceases to exist in the model’s output. 

  • Stress Mapping: Nights Watch maps patch vulnerability using Cloak + Disguise attacks during pre-deployment, BEFORE that attack hits downstream
  • Real-time Intercept: The 3-model Defense Suite identifies the non-natural spectral signature of the patch at inference
01_RAW_DETECTION OBJECT_ID: UAV_77 02_INFERENCE_VALIDATION COORDINATE_LOCK: 45.5231° N | 122.6765° W | LENS_LATENCY: 12ms

THE NIGHTS WATCH DIFFERENCE

Nights Watch delivers purpose-built mission AI assurance.

Decision trust must be engineered, not assumed. Nights Watch provides the technical integrity required for AI-driven operations—securing the digital kill chain and ensuring verified intelligence decision-makers can rely on.

Multi-modal defense

Purpose-built for EO/IR, SAR, WAMI, and multispectral vision models—closing a critical security gap in defense AI.

Hardened for real-world threats

Uses a proprietary threat arsenal informed by real-world experience. Proven against attacks in realistic operational scenarios — not just lab benchmarks.

Ready for any security environment

Deploys on JWIC-approved clouds, edge platforms, or air-gapped hardware.

Seamless, secure integration

Fits into existing MLOps pipelines with minimal disruption and runs on Red Hat OpenShift with IL5/IL6 readiness.

Built for the tactical edge

Supports real-time operations in contested environments. 

An AI trust layer

Delivers continuous end-to-end protection, adversarial validation, and centralized compliance for operational AI.

Defend the data.
Secure the AI. Assure the outcome.

xtech_scalable

GEOINT

Authenticates imagery, preventing adversarial camouflage or phantom targets

Assured autonomy

Protects autonomous vehicles and drones from sensor data corruption

Command and control

Safeguards AI-driven C2 systems from adversarial manipulation

Electronic warfare

Ensures data integrity in contested RF environments

ISR

Secures multi-sensor data pipelines for real-time analysis

See Nights Watch in action.

Without resilience, AI is a liability in contested/edge environments. AI whose integrity holds is a shared, scalable decision asset.

As you move from AI experimentation to operational deployment, don’t sacrifice security or trust. Schedule a threat briefing with our solutions team. We’ll show you exactly what’s at risk — and how Nights Watch can protect it.

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