Future-proofing cybersecurity: Understanding Quantum-Safe AI and how to create resilient defences.
Briefly

Future-proofing cybersecurity: Understanding Quantum-Safe AI and how to create resilient defences.
"While generative AI has undeniably made its mark, quantum computing looms as the next disruptive technological revolution. Still in its early stages, its staggering potential to break current encryption standards is already igniting urgent conversations across the tech world. At its core, a quantum computer uses the principles behind quantum mechanics to solve extremely complex problems. That's why it's poised to be problematic when it comes to encryption, because encryption is designed to be complex and unbreakable (for modern computing standards);"
"The main concern of a cryptographically relevant quantum computer (CRQC) is around its capabilities, as it's theorized that the machine would break traditional public key cryptography (PKC) algorithms. While CRQCs are currently unavailable, the development trajectory of quantum computing suggests these could emerge by 2037 if not sooner. Even so, any CRQC would have to be extremely stable with a countless number of error-corrected qubits."
Quantum computing leverages quantum mechanics to solve extremely complex problems and therefore poses a significant threat to current encryption designed for classical computing. Cryptographically relevant quantum computers (CRQCs) could break traditional public-key cryptography (PKC) algorithms, and development trajectories suggest such machines could appear by 2037 or sooner. Practical CRQCs require extreme stability and large numbers of error-corrected qubits, making early systems specialized and rare. NIST has standardized three algorithms to protect against quantum-enabled threats by enabling quantum-resistant key exchange and digital signature verification. ML-KEM enables secure, quantum-resistant shared-key exchange over public channels, benefitting end-to-end encrypted applications.
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