Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

SNMP has always been one of the quiet but crucial components of network management. It helps administrators monitor devices, automate configurations, and keep operations running smoothly. On Sept. 24, 2025, Cisco disclosed a high-severity vulnerability, identified as CVE-2025-20352, affecting the SNMP implementation in its IOS and IOS XE software. This issue allows attackers with valid SNMP credentials to cause a denial of service or execute arbitrary code on the affected devices.

‍AI systems are being woven into the fabric of business operations at a pace that outstrips the structures needed to safely scale them. McKinsey’s latest State of AI report shows that nearly two-thirds of organizations are still stuck in experimentation or pilot mode, unable to systematically expand AI usage across the business. Although leaders cite early benefits in efficiency, revenue gains, and innovation, only 39% report enterprise-level impact.

Anthropic's Threat Intelligence team recently uncovered and disrupted a sophisticated nation-state operation that weaponized Claude’s agentic capabilities and the Model Context Protocol (MCP) to orchestrate automated cyberattacks simultaneously against multiple targets worldwide. This AI-powered attack automated reconnaissance, vulnerability exploitation, lateral movement, and more across multiple victim environments at unprecedented scale and speed.

Searching for cloud migration success stories to validate your AWS journey? You’re making a smart move. Real-world examples prove what’s possible and help you avoid costly mistakes that businesses make when migrating without proper guidance. Cloud migration delivers clear competitive advantages: reduced infrastructure costs, improved scalability, enhanced security, and access to cutting-edge AWS technologies.

India has taken a decisive step toward shaping a responsible and inclusive AI future. The Government of India’s AI Governance Guidelines (2025) mark a bold framework that balances innovation, accountability, and trust—three pillars critical for sustainable AI growth. At a time when the world is debating the risks and rewards of artificial intelligence, India’s approach stands out for its clarity and cultural grounding.