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CDMLT

the CYBERSECURITY DNA

A revolutionary framework that moves beyond “black-box” AI to create scientifically structured, explainable, and future-proof security models

The Future of Cyber-Resilience

In an era of evolving digital threats and the looming “Quantum Harvest,” traditional, trial-and-error machine learning is no longer enough. HCISS introduces the Cybersecurity DNA ML Technome (CDMLT) a revolutionary framework that moves beyond “black-box” AI to create scientifically structured, explainable, and future-proof security models

The "Trial and Error" Gap in Modern Security

Current AI security solutions often rely on “random ensembles” choosing models based on intuition rather than rigorous science. This leads to:
 – High False Alarm Rates: Drowning security teams in “noise” and alert fatigue.
 – Operational Inefficiency: Massive analyst teams required to manually filter data.
 – Quantum Vulnerability: Systems that are unprepared for the next generation of cryptographic attacks..

The Cybersecurity "Genome"

Our Innovation

Inspired by groundbreaking research from MIT, HCISS has mapped the "DNA" of machine learning. We don't just pick a model; we compose it. By treating machine learning elements as "genes," our Composition Rules Engine allows us to build custom defense algorithms tailored to the unique physics and operational needs of your infrastructure

Core Pillars of CDMLT

• Domain-Specific Language (DSL): We "program" security and governance directly into the model’s DNA.

• Explainable AI (XAI): No more guessing. Our models provide clear, auditable reasoning for every detection.

• Post-Quantum Readiness: Built-in integration with NIST-standard Post-Quantum Cryptography (PQC) to protect your data for decades to come.

Industry Applications: Securing What Matters Most

The CDMLT platform is specifically designed for high-stakes environments where failure is not an option:

• Energy & Utilities: Protecting the power grid and EV charging networks from sophisticated state-sponsored actors

• Transportation & Mobility: Securing autonomous systems and smart-city infrastructure.

• Defense & Government: Ensuring mission-critical data remains secure against both classical and quantum threats.

Why Partner with HCISS?

When you choose CDMLT, you aren’t just buying a tool; you are investing in a superior security posture.

  • Reduce Costs: Lower operational overhead by reducing false positives by over 50%.
  • Future-Proofing: Deploy “Quantum-Safe” AI today to ensure longevity.
  • Scientific Rigor: Benefit from a platform supported by NSF SBIR research and developed in collaboration with Argonne National Laboratory.

Meet the Experts Behind CDMLT

Our leadership team combines over 30 years of information security experience with world-class academic research.

Daniel Addison, CEO: A veteran in cyber-physical security with 30+ years of experience.

Dr. Helen Turner, Senior Technical Advisor: A lead data scientist who has managed over $40M in federal research funding.

Get Started: Secure Your Digital DNA

Are you ready to move from reactive security to precision-engineered defense? Contact our team today to learn how CDMLT can be integrated into your existing MLOps pipeline or infrastructure.

Request a Technical Briefing

Future of Cyber-Resilience with CMDLT

A revolutionary framework that moves beyond “black-box” AI to create scientifically structured, explainable, and future-proof security models