Data Protection

8 reports

Quantum eMotion Buys Plurilock to Commercialize Quantum-Safe Security

Quantum eMotion plans to acquire Plurilock for C$33.8 million in a transaction designed to combine quantum-generated entropy with identity, behavioral-biometric and cybersecurity services across enterprise and public-sector networks.

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I-care adds AI anomaly detection without past failure data

I-care Group has acquired the assets of Amiral Technologies, including its DiagFit system, which detects abnormal machine behavior from normal operating data without requiring a library of past failures.

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Sitehop Deploys Hardware-Based Post-Quantum Security for Defense Networks

Sitehop has introduced a hardware-rooted post-quantum cryptography platform designed to retrofit legacy operational technology networks in the UK and Five Eyes defense infrastructure, aiming to address vulnerabilities to quantum and AI-enabled attacks without requiring full system replacement

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Eclypses and Sterling Integrate Post-Quantum Cryptography for US Agencies

Eclypses and Sterling are deploying a FIPS 140-3 validated, quantum-resistant cryptographic platform for US federal agencies, aiming to address harvest-now-decrypt-later threats and meet upcoming post-quantum migration deadlines

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QuProtect R3 Added to GSA Schedule for Federal Crypto Migration

QuSecure's QuProtect R3 platform is now available through Carahsoft's GSA Schedule, offering U.S. federal agencies a route to upgrade cryptographic systems in line with post-quantum security mandates and migration deadlines

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EY Installs On-Site Quantum Computer to Meet Data Sovereignty Needs

Ernst & Young (EY) has deployed an on-premises quantum computer in Canada, aiming to process sensitive enterprise workloads while addressing regulatory and data sovereignty requirements for sectors including finance and healthcare

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Public Claude AI Chats Indexed by Google, Exposing Sensitive Data

A technical lapse allowed Google to index publicly shared Claude AI conversations, making sensitive user data-including medical and business information-searchable until the links were removed from results

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Medical AI Models Face Higher Patient Privacy Risks Than Expected

A new peer-reviewed study finds that diagnostic medical AI models can leak sensitive patient information at rates far above previous estimates, raising concerns about privacy, data security, and the need for robust technical safeguards in clinical machine learning.

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