Enable AI's
Trust and Responsibility For All
TripleID isn't just a company. It's a stand.
For truth. For trust. For what's real.
TripleID: The Digital DNA of Human, AI and Data
TripleID is a global leader in hardware-protected AI identity and data trust verification for AI security, safety, and accountability. Our AuthentAI™ frameworks enable leaders, regulators, developers, and users to build and embrace AI systems with human oversight and control, for the benefit of future generations
Built for Trust
Built for Good
The Foundational Challenge for AI:
True Identity and Output Trust
Why Identity Is Foundational
Identity enables trust
Without a unique, verifiable identity, AI outputs can’t be traced to their source.
No trace, no verification
If actions aren’t linked to an authentic origin, there’s no way to verify or hold AI accountable.
Trust requires verification
Only verifiable, attributable outputs inspire real confidence in AI systems.
The Problem
Lack of Trust in AI Outputs
AI content often lacks traceable origins, fueling misinformation, deepfakes, and bias—undermining user and regulatory trust.
Regulatory Compliance Gaps
Opaque AI systems hinder compliance with transparency and accountability laws, exposing companies to legal and reputational risks.
Security Vulnerabilities
AI is vulnerable to data poisoning, adversarial attacks, and unauthorized access, compromising both safety and reliability.
Absent of human-in-loop Audit-ability
Black-box models lack human-in-the-loop oversight, making it hard to detect errors, address bias, or improve outcomes.
Stakeholder Disconnect
Without a unified, verifiable framework, collaboration across stakeholders breaks down—limiting trust, insurability, and safe innovation.
Our Solution
AuthentAI™ embeds hardware-rooted digital signatures into every AI action and output—creating tamper-proof, verifiable fingerprints that establish a secure chain of custody. This ensures trust, traceability, and compliance at scale.
Trusted Outputs
Authenticity and integrity are guaranteed, countering bias, manipulation, and misinformation.
Regulatory Compliance
Cryptographic audit trails simplify oversight and align with global standards.
Built-in Security
Hardware-based safeguards protect against tampering and adversarial threats.
Audit-Ready
Detailed records enable fast error detection and ethical system refinement.
Shared Trust Layer
A decentralized platform allows all stakeholders to independently verify and improve AI systems—driving confidence and responsible innovation.
Tailored Secure-By-Design Platforms
Secure by Design (SBD) is built with safety, security, and ethical alignment from the start, not as afterthoughts. It requires collaboration across developers, organizations, policymakers, researchers, and users to create AI that is inherently trustworthy and aligned with human values.
AuthentAI™ is a purpose-built SBD platform that embeds security at the hardware level. It is scalable across ecosystems and essential for high-risk AI. It’s anchored on three hardware-driven pillars:
1. Analysis and Design
Our SBD approach begins with a tailored analysis of each AI deployment’s architecture and risk profile. We identify threats such as unverified outputs, black-box non-compliance, data poisoning, adversarial exploits, and malicious use or weaponization. By mapping these risks to audit gaps and stakeholder needs, we deliver a custom threat model that enables precise countermeasures and clear visibility for engineers and decision-makers.
2. Silicon-Level Trust Anchored in Hardware
At the core of our SBD approach is proprietary silicon-level trust that embeds security directly into hardware, often at the chip level. Unlike fragile software layers, our custom tamper-resistant modules generate cryptographically secure, hardware-bound signatures for every AI action and output. This creates a verifiable chain of custody, tailored to each system’s architecture, and ensures integrity, traceability, and compliance across diverse AI pipelines.
3. Hardware-Agnostic, Embedded Solutions for Scalability
AuthentAI™ delivers flexible, embedded modules that integrate into SoCs, GPUs, or ASICs to meet core security and governance needs across diverse environments. These solutions enable granular tracing, verification, and certification, allowing engineers to audit and optimize systems while giving regulators, developers, and insurers a decentralized, secure, and scalable way to validate AI integrity.
Use Cases
IoTs
Secure protocols
Autonomous Machine
Autonomous driving
Regtech
Compliance
Financial Services
Fraud prevention
Leadership Team
Support U.S. National Security policy and operational objectives in counter-terrorism, counter-intelligence, and cybersecurity.
John Felker
Chairman of the Board
Dr. Robert Riegle
Chief Executive Officer
Ernest B. Chambers Jr.
Chief Technology Strategy Officer