Broadcom (AVGO) The Six Five Summit: AI Unleashed 2026 summary

Quantum computing and cybersecurity risks

• Quantum computing threatens current cryptographic algorithms like RSA and elliptic curve, making previously unbreakable keys vulnerable once quantum computers reach sufficient capability.

• The risk is not just theoretical; state-sponsored actors are already harvesting encrypted data now to decrypt later when quantum technology matures.

• Data with long-term value is especially at risk, as it may be decrypted years after being stolen.

• The timeline for quantum threats is uncertain, but estimates suggest cryptographically relevant quantum computers could emerge by 2030 or sooner.

• Urgency is heightened by the unpredictability of technological breakthroughs, as seen with past AI advancements.

Migration strategies and organizational readiness

• Immediate action is recommended: organizations should begin discovery, inventory, and planning for cryptographic assets now.

• Successful migration means completing the transition to post-quantum cryptography before quantum computers can break current algorithms.

• Inventory processes should capture dependencies and asset criticality to enable risk-based prioritization.

• Prioritize migration for the most critical assets first, based on business impact if compromised.

• Addressing technical debt and upgrading weak algorithms reduces exposure to both current and future threats.

Cyber resilience and broader security context

• Quantum and AI are disruptive forces, expanding the arsenal available to threat actors.

• Cyber resilience requires not only prevention but also preparation for detection, response, and recovery from successful attacks.

• Security is increasingly viewed as a core element of organizational resilience, not just a technical issue.

• Coordination across the organization is essential for effective resilience planning.

• Leaders are shifting from an "if" to a "when" mindset regarding breaches, emphasizing preparedness.