Quantum Security, Cybersecurity

Enterprise IT teams find chasing perfect crypto maps stalls quantum defenses

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October 14, 2026 by Ivy Delaney

Enterprise IT teams pursuing a complete cryptographic inventory for quantum defenses are finding themselves stalled in a familiar trap. Like early cloud migration initiatives, the effort to map every cryptographic dependency across vast systems risks analysis paralysis and delayed implementation. Instead of exhaustive discovery, organizations can make immediate gains by focusing on foundational security measures. “Simple, foundational actions like enforcing proper configuration for TLS and upgrading data at rest to AES 256 create immediate security wins without requiring deep mathematical expertise,” and building operational muscle against threats like attacks that endanger long-life, sensitive records.

Total Crypto Inventory Causes Quantum Readiness Delays

Harvest-now-decrypt-later attacks represent an immediate and escalating threat to organizations with long-term data retention policies, specifically impacting sensitive records, customer data and contracts requiring decades of confidentiality. These attacks exploit the vulnerability of current encryption methods to future quantum computers, meaning data encrypted could be decrypted years later when quantum computing power matures. Risk management teams must therefore prioritize the protection of data with extended lifecycles, recognizing that the window of vulnerability is already open.

Citi’s quantum readiness team, for example, prioritized upgrading key lengths for AES-256 to secure critical data repositories by using existing infrastructure and personnel to address immediate vulnerabilities, rather than pursuing a complete overhaul of cryptographic systems. Aligning these upgrades with scheduled hardware refreshes and software end-of-life events minimizes capital expenditure and maximizes efficiency.

Establishing a cryptography center of excellence or centralizing policy guidelines can further bridge the gap between infrastructure, security and application development teams, ensuring a coordinated and effective response to the quantum threat.

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Cryptography Quantum Computing Risk Management
Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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