AI workloads are exploding in size and speed, pushing enterprise networks to their limits. According to IDC, AI‑related data traffic will grow 40 % year‑over‑year through 2027, stretching existing encryption schemes that were designed for slower, less complex traffic patterns. As the quantum computing horizon draws nearer, the cryptographic foundations of today’s AI pipelines risk becoming obsolete. The session’s focus on quantum‑safe networking is therefore less a futuristic curiosity and more a pragmatic response to a security gap that could expose multi‑petabyte training sets to interception or tampering.
What the Session Will Cover
Mandich will be joined by Kate Kuehn of World Wide Technology, Christopher Moretti of Evernorth Health Services, and former PNC CISO Susan Koski. Together, they will dissect three pain points that conventional TLS and VPN solutions struggle with on high‑speed links: key‑lifecycle management, latency‑induced performance loss, and the inability to scale cryptographic strength without hardware upgrades. The panel will demonstrate how quantum‑resistant algorithms—such as lattice‑based key exchange and hash‑based signatures—can be woven into existing data‑center fabrics without sacrificing the sub‑millisecond latencies AI inference demands.
Industry Context and Competitive Landscape
The quantum‑safe narrative is gaining traction across the major cloud providers. Google announced its first post‑quantum key‑exchange trial on its Cloud Platform in 2023, while Microsoft is integrating NIST‑approved algorithms into Azure Confidential Compute. Amazon Web Services recently launched a “Quantum‑Ready” security add‑on for its Elastic Fabric Adapter. Qrypt’s differentiator lies in its hardware‑accelerated quantum‑resistant encryption engine, which claims to deliver up to a 30 % throughput advantage over software‑only solutions. In a market where Gartner predicts 15 % of enterprises will have adopted post‑quantum cryptography by 2027, Qrypt’s focus on low‑latency, AI‑centric networking could position it as a niche yet critical player for data‑intensive workloads.
Implications for Enterprise Marketing Teams
For B2B marketing teams, the shift toward quantum‑safe networking reframes the value proposition of AI products. Security‑by‑design becomes a selling point, especially for regulated sectors such as healthcare, financial sector, and telecommunications. Campaigns that previously highlighted only model accuracy or inference speed can now weave in compliance narratives—e.g., “Your generative AI pipeline stays ahead of quantum threats without compromising latency.” Moreover, the partnership signals to channel partners that Qrypt is aligning with industry‑wide standards, a factor that can accelerate co‑sell agreements and joint‑go‑to‑market motions.
Looking Ahead
The ONUG AI Networking Summit is expected to attract over 1,200 senior infrastructure leaders, making the session a bellwether for how quickly enterprises will adopt quantum‑safe practices. As AI models become more autonomous—think AI agents that negotiate contracts or orchestrate supply‑chain logistics—the underlying data‑transport layer must evolve in lockstep. If Qrypt’s hardware approach proves scalable, it could set a new baseline for AI‑centric security, prompting rivals to double down on integrated silicon solutions rather than relying on pure‑software patches.
Market Landscape
Post‑quantum cryptography is transitioning from research labs to production environments. A recent Forrester survey found that 42 % of CIOs consider quantum‑ready encryption a top‑three priority for 2025, driven by rising concerns over data sovereignty and the looming “harvest‑now, decrypt‑later” threat. Meanwhile, the AI infrastructure market is projected by McKinsey to exceed $120 billion by 2028, with a sizable share allocated to networking and security layers. The convergence of these trends creates a fertile ground for vendors that can deliver both high‑throughput AI performance and quantum‑resistant protection. Qrypt’s participation in a high‑visibility forum like ONUG underscores its intent to capture a slice of this expanding spend.
Top Insights
- Quantum‑safe networking addresses a concrete vulnerability in AI pipelines, protecting high‑volume data streams from future quantum attacks.
- Qrypt’s hardware‑accelerated approach promises up to 30 % higher throughput than pure‑software post‑quantum solutions, a critical edge for latency‑sensitive AI workloads.
- Enterprise marketers can now position AI offerings as “quantum‑ready,” adding a compliance‑driven differentiator for regulated industries.
- Gartner forecasts 15 % adoption of post‑quantum cryptography by 2027, indicating a rapid acceleration that will pressure legacy security stacks.
- The ONUG AI Summit’s audience of 1,200+ infrastructure leaders makes it a strategic platform for shaping industry standards around quantum‑resistant data center connectivity.
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