Secure mobile work requires Zero-Trust architecture, endpoint protection and VPN — not just technical measures, but also consistent enforcement of security policies.
Observability platforms were often developed without security by design and are therefore vulnerable to compromise, which gives attackers access to critical operational data and pivot points for lateral movement.
Nvidia leads a consortium of Microsoft, IBM, Red Hat and other corporations to standardize open AI security tools while enabling both proprietary and open models for cyber defense.
Supply chain protection becomes a strategic priority – organisations must involve third-party providers on a least-information basis and integrate their control mechanisms into their cyber-resilience strategy.
Anthropic has developed security processes for an AI-agent-dominated SDLC in which Claude authors 80 percent of code, while human reviews and access controls remain as critical control points.
Zero-Trust verification of user identity and device trustworthiness reduces the attack surface on critical infrastructure that exploits stolen or compromised accounts.
Autonomous AI agents require zero-trust governance and complete visibility into agent identities, as their machine-to-machine communication overwhelms traditional security perimeters.
