Threats are hiding in your data.
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THE CHALLENGETHE CHALLENGE
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THE SOLUTIONTHE SOLUTION
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THREAT BRIEFTHREAT BRIEF
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OUR EDGEOUR EDGE
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SCHEDULE DEMOSCHEDULE DEMO
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.
ADVERSARIAL AI DEFENSE PLATFORM
Nights Watch protects every stage of the AI lifecycle for one continuous defense posture.
Night’s Watch is a unified technical framework designed to ensure AI validity from development through active deployment. Nights Watch ensures that intelligence remains a strategic asset—not a vulnerability—enabling 100% operational confidence.
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CRUCIBLE
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.
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Robustness reports & scoring
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Run custom adversarial AI attacks on object detection, segmentation & classifier models
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Degraded conditions simulation
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Proprietary attack libraries
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Robustness reports
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Corpus screening
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WATCH TOWER
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.
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Command-level AI assurance view
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Red & blue teaming interface
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COA analysis of vulnerabilities
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Incident documentation & audit trail
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Audit trails
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Compliance management
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No-code interface
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SENTINEL
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Real-time threat detection
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97% field-tested accuracy
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Automatic quarantine with HIL alerts
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99% model performance recovery
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3-pronged detection
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Real-time alerts
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Auto recovery
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97% accuracy
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
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.
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.
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Stress Mapping: Nights Watch maps patch vulnerability using Cloak + Disguise attacks during pre-deployment, BEFORE that attack hits downstream
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Real-time Intercept: The 3-model Defense Suite identifies the non-natural spectral signature of the patch at inference
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 layer required for AI-driven operations—securing the digital kill chain and ensuring verified intelligence decision-makers can trust.
Defend the data. Secure the AI. Assure the outcome.
Night’s Watch defeats AI deception — denying adversaries easy exploits while decreasing latency across the digital kill chain. It creates an operational trust layer that gives programs defensible evidence of model robustness under adversarial conditions.
Safeguard your data and models from Adversarial AI. 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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Proprietary attack libraries
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Robustness reports
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Corpus screening