Tag: g7
6 articles
G7 Pushes for Swift Adoption of Quantum-Safe Cybersecurity Measures
The clock is ticking: with quantum computing on the rise, experts warn that it's high time to upgrade your cybersecurity to quantum-safe measures - before it's too late! The G7 is sounding the alarm, urging governments and organizations to take immediate action to protect themselves from this emerging threat.
G7 Urges Industry to Accelerate Post-Quantum Encryption Defenses
The G7 cybersecurity working group is sounding the alarm: many organizations are neglecting to prepare for the quantum threat, and it's time to prioritize post-quantum encryption defenses to safeguard critical systems and data. Don't wait - the transition to post-quantum cryptography is a business risk that requires immediate attention and coordinated action.
AI Skills Become Mandatory in Over Half of Cybersecurity Job Ads
The demand for AI skills in cybersecurity is skyrocketing, with over half of job postings now requiring AI expertise - a number that's doubled in just one year, from 14.2% to 28.5%. This seismic shift signals a fundamental change in the way cybersecurity teams operate, combining human oversight with machine automation.
G7 Seeks Allies to Diversify Critical-Mineral Supply Chains
The G7 is rallying allies to join forces in securing critical minerals, aiming to reduce reliance on any single supplier to less than 60% by 2030. By diversifying supply chains and strengthening production, the group hopes to build a more resilient and secure global market.
Global Agencies Unveil AI Supply Chain Risk Guidance with SBOMs
Global agencies have joined forces to release groundbreaking guidance on AI supply chain risk, outlining minimum elements for Software Bill of Materials (SBOMs) to enhance security and transparency. This crucial step forward aims to tackle the complex challenges of measuring and defining AI risks across organizations.
G7 Guidance Sets AI Security Standards
The G7 has set a new benchmark for AI security with the release of voluntary guidelines, outlining the minimum requirements for transparency around AI system components. This move aims to establish a common baseline for the industry, promoting trust and safety in the rapidly evolving AI landscape.