Cyble and DRONA Cyber Solutions launched an AI-powered cyber defense initiative in Ahmedabad to address India's cybersecurity gap, particularly for mid-sized businesses in Tier-2 and Tier-3 cities that lack dedicated security resources. The initiative combines threat intelligence, investigation, and endpoint enforcement through a managed security model that emphasizes human decision-making over automated responses, demonstrated through a live technical exercise showing detection, investigation, and containment of an intrusion attempt. India's cybercrime burden has grown significantly, with 28.15 lakh recorded cases in 2025 representing a 24 percent increase and losses exceeding ₹22,495 crore, highlighting the urgent need for accessible security capabilities beyond large enterprises and banks.
Read full article at The Cyber Express ↗The Australian Signals Directorate has outlined its 2026 board priorities alongside new frontier AI guidance, emphasizing that rapid response alone is insufficient to counter emerging cyber threats in an AI-driven threat landscape. The directorate's approach suggests a need for more comprehensive strategies beyond speed-focused defenses to address the evolving sophistication of AI-enabled attacks.
Nigeria is advancing its sovereign cloud infrastructure through new financing, procurement, and policy frameworks designed to strengthen its cyber and national security posture. The initiative aims to build domestic technical capabilities and reduce reliance on foreign cloud providers for critical systems and data.
Meta has introduced three new security features for WhatsApp: enhanced two-step verification, caller information for unknown numbers, and support for multiple passkeys per account. These additions aim to strengthen account protection while maintaining the platform's end-to-end encryption for conversations.
The Linux Foundation has adopted TRACE, a hardware-backed specification developed collaboratively by AMD, Intel, Microsoft, OPAQUE, and the Technology Innovation Institute to create standardized evidence records for AI agents and confidential workloads. TRACE provides organizations with a consistent, trustworthy method to demonstrate that sensitive data handling complies with established policies as autonomous AI agents and open-weight models become increasingly prevalent in enterprise deployments.