Post-Quantum’s Algorithm - Classic McEliece - Achieves Global ISO Standardization to Protect the World From Quantum Cyber Attack 

It’s proven that today’s encryption is vulnerable to attack by a sufficiently mature quantum computer running Shor’s algorithm - a catastrophic event commonly known as Q-Day. Even before such a cryptographically relevant quantum computer emerges it is known that adversaries are stealing encrypted data now, which can be decrypted...
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LiberNovo 2026 Chair Lineup Marks One Month on Sale as Early Bird Savings Enter Final Countdown

HONG KONG, HK /ACCESS Newswire/ July 15, 2026 / The LiberNovo 2026 lineup, made up of the Omni SE, Omni Pro, and Maxis Series, has reached one month on sale, and its first-release early bird pricing has entered the final stretch. Offers end July 31 at 5:00 p.m. BST in the UK and 6:00 p.m. CEST across the...
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Thredd Joins The Visa Agentic Ready Programme, Bringing Agent Network Readiness To Issuers Across Europe, Starting With Zilch

Thredd, the AI-first issuer processing platform, today announced it has joined theVisa Agentic Ready programme, enabling issuers across Europe to participate in agent-initiated payments without rebuilding their payments infrastructure. Consumer payments platformZilchwill be among the first issuers on the...
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Forrester’s 2027 Budget Planning Guides: After A Year Of Caution, Business And Tech Leaders Are Ready To Invest Again

According toForrester’s(Nasdaq: FORR)2027 Budget Planning Guides, business and technology leaders are approaching 2027 with renewed confidence as they increasingly accept volatility as a permanent feature of the business environment. After a year of more cautious spending, more than 80% of leaders expect their budgets to increase over the next 12 months, with as many as one-quarter anticipating growth of 10% or more. But planning in the age of AI demands more than bigger budgets: Increasing investment without modernizing operating models, strengthening data foundations, and improving AI readiness will only accelerate fragmented data, duplicated work, and technical debt. To realize AI’s...
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