Signal Advance(R) (OTC:SIGL) Hits Another Cybersecurity Milestone: Validates AI Resistant Analog Encryption

Rhea-AI Summary

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.

Positive

• 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

Negative

• 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 (~50%) and could not infer the analog key or message. "Even modern AI couldn't identify which key or message was behind the data," said Chris Hymel, Ph.D., CEO of Signal Advance.

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?

Signal Advance announced tests showing its Analog Guard analog encryption produced ~50% prediction accuracy (random chance) in two AI model evaluations, indicating no learnable relationship to original messages.

How many AI models did Signal Advance test for Analog Guard's AI resistance?

The company tested two modern machine-learning AI architectures and reported the models failed to recognize keys or message correlations.

Will Signal Advance publish independent validation of Analog Guard's AI resistance?

Signal Advance said it intends to publish selected findings for independent review and will expand testing across more models and datasets.

What is the claimed technical reason Analog Guard resists AI decryption for SIGL?

Analog Guard uses physics-based signal modulation and continuously varying waveforms instead of math-based transforms, which the company says removes exploitable structure AI needs to learn.

Which markets does Signal Advance position Analog Guard for after these tests?

The company positioned Analog Guard for defense, critical infrastructure, industrial, and secure communications markets facing AI-accelerated vulnerabilities.