Signal Advance(R) (OTC:SIGL) Hits Another Cybersecurity Milestone: Validates AI Resistant Analog Encryption
Signal Advance (OTC:SIGL) announced October 29, 2025 that laboratory tests show its patented Analog Guard analog-domain encryption resists pattern recognition by advanced machine-learning AI models.
Two modern AI architectures tested produced prediction accuracy near 50% (random chance), failing to infer keys or messages. The company said the analog modulation approach replaces math-based transforms with physics-based waveform variation to limit exploitable structure.
Signal Advance plans to expand testing to additional models and datasets and to publish selected findings for independent review while pursuing multi-market licensing.
Signal Advance (OTC:SIGL) ha annunciato il 29 ottobre 2025 che i test di laboratorio hanno dimostrato che la sua crittografia analogica brevettata Analog Guard, basata sul dominio analogico, resiste al riconoscimento di pattern da parte di modelli avanzati di AI di machine learning.
Due moderne architetture AI testate hanno prodotto una precisione di previsione vicina al 50% (caso casuale), fallendo nell’inferire chiavi o messaggi. L’azienda ha affermato che l’approccio di modulazione analogica sostituisce trasformazioni basate sulla matematica con variazioni d’onda basate sulla fisica per limitare strutture sfruttabili.
Signal Advance prevede di estendere i test a modelli e set di dati aggiuntivi e di pubblicare risultati selezionati per una revisione indipendente mentre cerca licenze multi-mercato.
Signal Advance (OTC:SIGL) anunció el 29 de octubre de 2025 que pruebas de laboratorio muestran que su patente Analog Guard, cifrado en dominio analógico, resiste al reconocimiento de patrones por modelos avanzados de IA de aprendizaje automático.
Dos arquitecturas modernas de IA probadas obtuvieron una precisión de predicción cercana al 50% (aleatorio), sin poder deducir claves o mensajes. La empresa dijo que el enfoque de modulación analógica reemplaza transformaciones basadas en matemáticas por variación de formas de onda basada en la física para limitar estructuras explotables.
Signal Advance planea ampliar las pruebas a modelos y conjuntos de datos adicionales y publicar hallazgos seleccionados para revisión independiente mientras busca licencias para múltiples mercados.
Signal Advance (OTC:SIGL)가 2025년 10월 29일 실험실 테스트에서 특허받은 Analog Guard의 아날로그 도메인 암호화가 고급 기계 학습 AI 모델의 패턴 인식을 저항한다는 것을 발표했습니다.
테스트된 두 가지 현대 AI 아키텍처는 예측 정확도가 거의 50%에 달하는 것으로 나타났으며(무작위 확률), 키나 메시지를 추론하지 못했습니다. 회사는 아날로그 변조 방식이 수학 기반 변환을 물리 기반 파형 변화로 대체하여 악용 가능한 구조를 제한한다고 말했습니다.
Signal Advance는 추가 모델 및 데이터 세트에 대한 테스트를 확장하고 독립적 검토를 위해 선택된 결과를 발표하는 한편 다중 시장 라이선스를 추구할 계획입니다.
Signal Advance (OTC:SIGL) a annoncé le 29 octobre 2025 que des tests en laboratoire montrent que son Analogue Guard breveté, cryptographie dans le domaine analogique, résiste à la reconnaissance de motifs par des modèles avancés d’IA d’apprentissage automatique.
Deux architectures d’IA modernes testées ont donné une précision de prédiction proche de 50% (chance aléatoire), échouant à déduire des clés ou des messages. L’entreprise a dit que l’approche de modulation analogique remplace les transformations basées sur les mathématiques par une variation d’ondes fondée sur la physique pour limiter les structures exploitable.
Signal Advance prévoit d’étendre les tests à des modèles et jeux de données supplémentaires et de publier des résultats sélectifs pour un examen indépendant tout en recherchant des licences multi-marchés.
Signal Advance (OTC:SIGL) gab am 29. Oktober 2025 bekannt, dass Labortests zeigen, dass seine patentierte Analog Guard Analogen-Domänen-Verschlüsselung Mustererkennung durch fortgeschrittene maschinelle Lernmodelle widersteht.
Zwei moderne KI-Architekturen testeten erzielten eine Vorhersagegenauigkeit nahe 50% (Zufall), konnten Schlüssel oder Nachrichten nicht ableiten.
Das Unternehmen sagte, dass der Ansatz der analogen Modulation mathematische Transformationen durch physikbasierte Wellenformabweichungen ersetzt, um ausnutzbare Strukturen zu begrenzen.
Signal Advance plant, Tests auf zusätzliche Modelle und Datensätze auszuweiten und ausgewählte Ergebnisse zur unabhängigen Überprüfung zu veröffentlichen, während es eine Lizenzierung für mehrere Märkte verfolgt.
Signal Advance (OTC:SIGL) أعلن في 29 أكتوبر 2025 أن اختبارات المختبر أظهرت أن تشفير Analog Guard الحاصل على براءة اختراع، في مجال التحويل التماثلي، يقاوم التعرف على الأنماط بواسطة نماذج الذكاء الاصطناعي المتقدمة.
اثنان من معماريي الذكاء الاصطناعي الحديثة اختبرتا وحققتا دقة توقع تقارب 50% (مصادفة عشوائية)، فشلتا في استنتاج المفاتيح أو الرسائل. قالت الشركة إن نهج التعديل التماثلي يحل محل التحويلات القائمة على الرياضيات بتغير موجي يعتمد على الفيزياء للحد من الهياكل القابلة للاستغلال.
تخطط Signal Advance لتوسيع الاختبارات لتشمل نماذج ومجموعات بيانات إضافية ونشر نتائج مختارة للمراجعة المستقلة بينما تسعى للحصول على رخصة عبر أسواق متعددة.
Signal Advance (OTC:SIGL) 于2025年10月29日宣布，实验室测试显示其获专利的 Analog Guard 模拟域加密能够抵抗先进机器学习人工智能模型的模式识别。
测试的两种现代 AI 架构的预测准确率接近 50%（随机机会），未能推断出密钥或消息。
该公司表示，模拟调制方法用基于物理的波形变化代替基于数学的变换，以限制可被利用的结构。
Signal Advance 计划扩大对更多模型和数据集的测试，并在寻求多市场许可的同时发布精选发现以供独立评审。
- Prediction accuracy ~50% in two AI model tests (random chance)
- Analog-domain design demonstrated resistance to pattern inference by tested AI
- Company intent to publish selected findings for independent review
- Results reported from two tested AI architectures only
- Independent validation not yet published or available
ROSHARON, TX / ACCESS Newswire / October 29, 2025 / Signal Advance, Inc. (OTCID:SIGL) announced new test results confirming that its patented Analog Guard® encryption system resists decryption by advanced artificial intelligence (AI) models-evidence that its analog-domain design provides intrinsic defense against next-generation AI threats.
As recently as October 10, 2025, IBM explained on its Think Blog that "AI is the overarching system. Machine learning is a subset of AI. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms."
In recent tests, two different modern machine-learning AI architectures failed to recognize any patterns, keys, or message correlations within Analog Guard®-encrypted data. Prediction accuracy remained near 50 percent-essentially random guessing, a coin toss-showing no learnable relationship between the encrypted signals and their original content.
Because attacks start with exploitable structure, removing it leaves AI with no learnable signal; in our tests, models stayed at chance (~
Dr. Hymel continued by saying, that these results validate Analog Guard's core strength: its analog-domain architecture is inherently secure from digital attacks - delivering game changing, resilience to AI-driven threats.
A New Foundation for Cybersecurity
Conventional digital encryption's dependence on mathematical transformations makes it increasingly vulnerable to AI and quantum attacks.
Analog Guard® replaces math-based security with physics-based signal modulation, continuously varying waveforms and analog keys that defy algorithmic prediction - providing AI and quantum resilience.
This achievement positions Analog Guard® as a future-resilient encryption platform for defense, critical infrastructure, industrial, and secure-communications markets-sectors already facing AI-accelerated vulnerabilities.
Next Steps
Signal Advance® will expand AI-resistance testing across additional models and datasets and intends to publish selected findings for independent review. These studies will further substantiate Analog Guard® as a commercially ready, defensible encryption technology with strong intellectual-property protection and multi-market licensing potential.
About Signal Advance, Inc.
Signal Advance® (OTCID:SIGL) develops analog-domain signal-processing technologies that complement and harden digital cybersecurity systems. Its Analog Guard® platform provides hardware-level encryption built for resilience against AI and quantum threats.
Analog Guard® and Signal Advance® are registered trademarks of Signal Advance, Inc. All other trademarks are the property of their respective owners.
Media & Investor Contact
Signal Advance, Inc.
IR@signaladvance.com | (713) 510-7445
www.signaladvance.com | X (Formerly Twitter): @Signaladv
Forward-Looking Statements
This press release may contain forward-looking statements regarding intellectual property strategies, technology development, commercialization plans, and expected benefits. These statements are based on current assumptions and involve risks and uncertainties that could cause actual results to differ materially, including patent examination outcomes, technology evolution, and market conditions. Signal Advance undertakes no obligation to update forward-looking statements except as required by law.
SOURCE: Signal Advance, Inc.
View the original press release on ACCESS Newswire
FAQ
What did Signal Advance (SIGL) announce on October 29, 2025 about Analog Guard?
How many AI models did Signal Advance test for Analog Guard's AI resistance?
Will Signal Advance publish independent validation of Analog Guard's AI resistance?
What is the claimed technical reason Analog Guard resists AI decryption for SIGL?
Which markets does Signal Advance position Analog Guard for after these tests?
