01Quantum to Host Webinar on Securing AI Inference Against Adversarial Threats in 2026

Insider Brief:

01Quantum will host a live strategic briefing on February 26, 2026, focused on securing AI inference against adversarial threats, as part of the 2026 Year of Quantum Security, in partnership with The Quantum Insider.

The 60-minute session will examine how government and enterprise organizations can protect AI prompts, models, and outputs from extraction, inversion, and long-term cryptographic risk using post-quantum security approaches that integrate into existing systems without disruption.

Led by Andrew Cheung (01Quantum) and Brian Lenahan (Quantum Strategy Institute), the briefing targets decision-makers navigating emerging compliance, procurement, and trust requirements as AI deployment outpaces current security models.

01Quantum will host a live strategic briefing on Wednesday, February 26, 2026, at 11:00 a.m. EST, focused on one of the most under-addressed risks in enterprise AI deployment: the security of AI inference.

The 60-minute webinar, “Securing AI Inference Against Adversarial Threats in 2026,” is part of the 2026 Year of Quantum Security event series and will examine how government and enterprise organizations can protect AI prompts, models, and outputs from adversarial extraction, inversion attacks, and long-term cryptographic risk—without disrupting existing infrastructure.

Hosted in partnership with The Quantum Insider, the session will bring together technical, strategic, and policy perspectives to address emerging compliance and security requirements tied to post-quantum readiness. Registration is free and open to qualified participants.

Key Focus Areas

The session will focus on three core dimensions of AI inference security:

Adversarial risk exposure in AI systems, including prompt extraction, model inversion, and “harvest now, decrypt later” (HNDL) attack vectors.
Practical application of post-quantum cryptography (PQC) to secure inference pipelines without requiring full system redesigns or vendor lock-in.
Compliance and trust considerations for government and enterprise buyers navigating quantum-readiness mandates in procurement and regulation.

Rather than exploring theoretical future threats, the discussion centers on deployment realities in 2026, where AI systems are already operational in high-stakes environments.

Featured Speakers

Andrew Cheung, Founder & CEO, 01Quantum: A specialist in post-quantum cryptography and enterprise security, Cheung will outline how PQC can be integrated into live AI systems with minimal operational friction.
Brian Lenahan, Founder & Chair, Quantum Strategy Institute: Lenahan will address strategic risk, procurement pressures, and the implications of quantum security for executive leadership and long-term planning.
Industry and regulatory experts (TBC) will contribute perspectives on standards alignment, NIST guidance, and real-world implementation considerations.

The briefing will feature leaders spanning technology, strategy, and policy:

Format and Audience

The 60-minute program will include expert presentations followed by a live audience Q&A.

Organizers note the session is designed specifically for government and enterprise decision-makers, including security leaders, CIOs, CISOs, AI architects, and compliance teams responsible for deploying or overseeing AI systems in regulated environments.

Why Now

AI adoption has accelerated rapidly across government and enterprise, but security models have not kept pace with inference-layer risk. While attention often focuses on data storage and model training, inference remains a critica and increasingly exposed attack surface.

At the same time, post-quantum security is moving from long-term planning into near-term compliance reality, particularly for public-sector procurement and critical infrastructure operators.

By focusing on disruption-free integration, 01Quantum’s briefing aims to help organizations understand how quantum-safe security can be applied pragmatically, without halting AI deployment or forcing costly architectural resets.