Distributed on behalf of 01 Quantum Inc.
It’s estimated that quantum computers can solve problems 100 million times faster, as noted by AI Magazine. In fact, it was once reported that a quantum computer solved a complex problem in about 200 seconds that would have taken the world’s fastest computer 10,000 years to complete. All of which creates incredible opportunities for the world moving forward.
Quantum computing could even be used to discover new drugs, quicker than even imagined. It may even be able to help advance artificial intelligence, machine learning, financial modeling, cybersecurity, batteries, and even help with the green energy boom.
No wonder governments all over the world are heavily investing in quantum computing.
According to Forbes.com, “Global powers, led by China, have invested more than $55 billion in the promising technology… In Europe, Germany has launched an investment plan of more than $3 billion by 2026, and France has announced an investment of nearly $2 billion, aiming to train 5,000 quantum-ready engineers and create 30,000 jobs. In the United States, the National Quantum Initiative Act has authorized $1.2 billion in funding over five years for quantum computing research and development.”
Unfortunately, the power behind quantum makes everything even more vulnerable than ever before, including banking systems, email communications, communications, cryptocurrency networks, AI systems, and national defense – all of which is creating opportunity for companies such as 01 Quantum Inc. (TSXV: ONE) (OTCQB: OONEF), formerly 01 Communique Laboratory.
It’s also creating opportunity for Palo Alto Networks (NASDAQ: PANW), CrowdStrike (NASDAQ: CRWD), Okta (NASDAQ: OKTA), and Zscaler (NASDAQ: ZS).
To help, 01 Quantum Inc. (TSXV: ONE) (OTCQB: OONEF)Just Announced its Quantum AI Wrapper (QAW) Technology to Protect Privacy in the AI Market
01 Quantum Inc. just announced its Quantum AI Wrapper (QAW) technology. This technology is engineered to solve one of the most pressing challenges facing the Artificial Intelligence (AI) industry, which is security and privacy in the special-purpose AI model market.
Unlike general purpose Large Language Models (LLMs) such as ChatGPT, special-purpose AI models are often tailored for some specific tasks rather than general purpose. These special tasks often involve highly confidential/sensitive user input such as credit fraud detection, image recognition, diagnostics, and network traffic analysis. These use cases involve confidential data, making security or privacy safeguards a concern for both the user and AI model vendor. Additionally, AI model vendors have requirements to protect their intellectual property from model extraction attacks.
The security challenge is twofold:
1. User Risk: Individuals risk exposing sensitive data during AI inference.
2. Vendor Risk: AI model vendors run a risk when allowing access to their unencrypted AI model.
These security issues have hindered both deployment and adoption in a significant segment of the AI market, which according to Statista, a global data and business intelligence platform, will reach $250 billion USD by the end of 2025 and $1.77 trillion USD by 2032. QAW is engineered to resolve these security issues by enabling encrypted AI query and inference, ensuring that neither user data nor vendor models are ever exposed.
Powered by Full Homomorphic Encryption and IronCAP™
QAW leverages a combination of:
- Full Homomorphic Encryption (FHE): A cryptographic breakthrough that allows computations directly on encrypted data, enabling secure processing of inputs like medical records and financial information without ever being decrypted. In the context of AI, FHE enables secure query and inference, ensuring that neither the user’s data nor the vendor’s model is exposed.
- IronCAP™: 01 Quantum’s NIST approved post-quantum cryptography, designed to withstand the future threat of quantum attacks (Q-Day).
Together, these technologies deliver a quantum-safe, future-proof solution protecting AI against the looming threat of Q-Day, the moment quantum computers are capable of breaking traditional encryption.
A Marketplace for Secure AI Models
Technical Highlights
- A Secure AI Operations patent application associated with our QAW technology has been filed (US #19/341.748).
- A quantum-safe solution for harvest-now-decrypt-later attacks or long-term field deployment.
- Deployment options tailored for special-purpose AI use-cases.
“We’re excited to announce our QAW technology, designed to enhance security and privacy in AI,” said Andrew Cheung, CEO for 01 Quantum. “Unlike general-purpose AI models that are designed for broad tasks like conversation or summarization, special-purpose AI models are built for mission-critical applications, from credit fraud detection to medical diagnostics, where data sensitivity and IP protection are paramount. Our QAW technology is tailored for these high-stakes environments. While we’re not disclosing further technical details at this time for competitive reasons, a live demonstration is forthcoming followed by our commercialization strategy. We look forward to showcasing how our QAW enabled AI inference can unlock secure deployment across industries soon.”
Other related developments from around the markets include:
Palo Alto Networks, the global cybersecurity leader, is launching Cortex® AgentiX™ to solve this problem. As the next generation of Cortex XSOAR®, AgentiX is the industry's most secure platform to build, deploy and govern the AI agent workforce of the future. Starting with the SOC, AgentiX is revolutionizing automation to counter adversaries who can launch attacks up to 100 times faster with AI. Its powerful prebuilt agents are able to dynamically plan, reason and execute solutions just as an expert would, giving security analysts a decisive advantage. Ultimately, AgentiX delivers up to a 98% reduction in MTTR with 75% less manual work, freeing time up for strategic initiatives.
CrowdStrike expanded its Agentic Security Workforce, introducing new mission-ready agents that extend the Falcon® platform and drive the evolution of the agentic SOC. Building on the first wave of agents introduced at Fal.Con 2025, new agents bring agentic automation to common Falcon platform tasks such as app creation and data onboarding, accelerating outcomes and liberating analysts to focus on the strategic decisions that strengthen security. “If agents are expected to think, reason, and act like an expert analyst, they must be trained on expert experience, not legacy playbooks,” said George Kurtz, CEO and founder of CrowdStrike. “That’s the difference between static automation and true intelligence – playbooks train automation, people train intelligence. CrowdStrike’s agents learn from the world’s best SOC operators, giving them the judgment to act autonomously and the discipline to stay under defender command.”
Okta, the leading independent identity partner, today announced new Okta Platform and Auth0 Platform capabilities, enabling organizations to build secure, standards-first AI agents that can be seamlessly woven into an identity security fabric for end-to-end lifecycle management. As part of the fabric, organizations will also be able to issue and verify tamper-proof digital credentials, helping establish trust and address rising AI-powered fraud. “AI is changing the workplace faster than organizations can adapt. We’re starting to see poorly built, deployed, or managed agents expose the risks of using a traditional patchwork of identity solutions,” said Kristen Swanson, SVP of Design and Research, Okta. “The modern enterprise requires an identity security fabric that can unify silos and reduce the attack surface. Our latest innovations weave agents into that fabric to manage their entire identity lifecycle, leveraging open standards like Cross App Access that help elevate the entire industry and create a more secure AI-powered ecosystem.”
Zscaler, the leader in cloud security, today announced it has acquired innovative AI security pioneer SPLX, extending the Zscaler Zero Trust ExchangeTM platform with shift-left AI asset discovery, automated red teaming, and governance, so organizations can secure their AI investments from development through deployment. “Today marks an important step in advancing Zscaler’s role as the trusted partner helping organizations securely adopt AI,” said Jay Chaudhry, CEO, Chairman, and Founder of Zscaler. “AI is creating enormous value, but its full potential can only be realized when it can be secured. By combining SPLX’s technology with the intelligence of the Zscaler Zero Trust Exchange and its native data protection that classifies, governs, and prevents loss of sensitive data across prompts, models, and outputs, Zscaler will secure the entire AI lifecycle on one platform. This will strengthen our industry leadership and give customers the confidence to safely embrace AI.”
Legal Disclaimer / Except for the historical information presented herein, matters discussed in this article contains forward-looking statements that are subject to certain risks and uncertainties that could cause actual results to differ materially from any future results, performance or achievements expressed or implied by such statements. Winning Media is not registered with any financial or securities regulatory authority and does not provide nor claims to provide investment advice or recommendations to readers of this release. For making specific investment decisions, readers should seek their own advice. Winning Media is only compensated for its services in the form of cash-based compensation. Pursuant to an agreement Winning Media has been paid three thousand five hundred dollars for advertising and marketing services for 01 Quantum Inc. by 01 Quantum Inc. We own ZERO shares of 01 Quantum Inc. Please click here for full disclaimer.
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