Solutions

LLM Defender

LLM Defender is Topologe’s AI-native cybersecurity solution for detecting and disrupting weaponized large language models (LLMs).

Assessed as “Awardable” by the DoW’s Chief Digital and AI Office (CDAO) Tradewinds Solutions Marketplace and winner of the 2023 GSA Applied AI Challenge on LLMs, it combines metalinguistic watermarking, automated malware triage, and behavioral clustering to deliver real-time threat detection—without requiring model-specific training or proprietary access. Its architecture supports secure operation in classified, enclave, and tactical environments, ensuring adversarial AI cannot exploit language as a vector for intrusion, influence, or disinformation in mission-critical communications.

Watch our 5-minute video overview:
LLM Defender: Frontier AI Against Weaponized LLMs (accessible to government users via Tradewinds Solutions Marketplace).

To request a white paper or start a conversation, contact us.

STACI

STACI™ (Stealth Technology Active Camouflage Intelligence) is Topologe’s AI-powered deception system for defeating autonomous visual surveillance.

It uses a compact hardware/software module with electrophoretic displays to disrupt drone-based classification—causing enemy systems to misidentify vehicles, boats, buildings, or forward assets as “friendly” or invisible. STACI operates without access to adversary models by leveraging the universal math behind visual recognition, breaking the autonomous kill chain through pattern manipulation. With zero infrared signature and bistable durability, STACI enables stealth through AI instead of materials, supporting TRL 4 performance in drone-heavy environments.

To request a white paper or start a conversation, contact us.

Face Active Camouflage Intelligence (FACI™)

FACI™ (Face Active Camouflage Intelligence) is Topologe’s facial anomaly camouflage system designed to defeat AI-based recognition.

Built on the same algorithms as STACI, FACI directs a computer-controlled makeup device to apply imperceptible changes to a person’s face—exploiting neural network vulnerabilities and causing misclassification by facial recognition systems. It enables agents to bypass automated identity checkpoints without needing access to adversary models.

To request a white paper or start a conversation, contact us.

ClearPath
(Air Traffic Control Near-Misses)

ClearPath is Topologe’s air traffic communications visualizer that extracts pilot intent and controller instructions from ATC transcripts to enhance aviation safety and situational awareness.

Using state-of-the-art Large Language Models and a configurable multi-pass analysis pipeline, ClearPath processes structured and unstructured transcript formats—including SRT and Markdown—to identify mismatches, clarify instructions, and flag risks such as runway contention or in-air collisions. Its conflict detection module maintains a temporal model of airspace and runway occupancy, with planned expansion to real-time capabilities. Confidence scoring and flexible input handling allow integration with existing ATC workflows, making ClearPath a scalable tool for post-hoc analysis and future live monitoring.

To request a white paper or start a conversation, contact us.

FlyBy
(See Through the Eyes of AI)

FlyBy is Topologe’s anomaly detection and visualization tool for triaging large volumes of text-based reports.

Using NLP to measure text similarity, FlyBy clusters messages into interactive 3D space—allowing analysts to inspect, group, and forward thousands of related data points as unified entities. Originally built using NASA’s Aviation Safety Reporting System, FlyBy integrates incident text, weather, and flight outcomes to calculate cluster severity and prioritize review. Its interface includes search filtering, word frequency charts, severity color coding, and department routing—transforming weeks of manual review into hours of interactive triage.

To request a white paper or start a conversation, contact us.

CyBy

CyBy is Topologe’s high-speed anomaly detection system for identifying cyber threats that traditional tools miss.

Instead of relying on known signatures, CyBy spots unusual patterns in network traffic—structured or unstructured—and flags suspicious behavior in real time. It helps cybersecurity teams quickly find where an attack is happening, what kind it is, and what to do next. CyBy recommends countermeasures ranked by mission impact and risk, with full transparency into how decisions are made. Built to meet federal cybersecurity standards, CyBy also supports commercial use cases that need fast, explainable, and resilient cyber defense.

To request a white paper or start a conversation, contact us.

IonoScan

IonoScan is Topologe’s AI-native system for detecting hypersonic threats by analyzing ionospheric disturbances.

Assessed as “Awardable” on DARPA’s ERIS Marketplace, ionoScan identifies anomalies in high-frequency signal propagation caused by fast-moving objects in the upper atmosphere. It fuses data from multiple sensors and uses physics-informed AI—specifically Hamiltonian Neural Networks—to track maneuverable threats with high accuracy, even when radar and optical systems fail. The system predicts trajectories, maintains custody, and ranks threat responses by mission impact, supporting early warning, threat attribution, and operational planning. With dual-use potential in aerospace and drone tracking, ionoScan delivers stable, high-fidelity insights in environments where traditional systems fall short.

Watch our 7-minute video overview:ionoScan—An Elegant AI Solution to the Hypersonic Problem (accessible to government users via the Darpa ERIS Marketplace)

To request a white paper or start a conversation, contact us.