The digital landscape is currently facing a subtle but profound transformation as quantum computing advances from a theoretical possibility to a tangible threat for standard encryption protocols. While most internet users rely on traditional virtual private networks to secure their daily traffic, the arrival of powerful quantum processors could
The rapid integration of autonomous AI agents into the software development lifecycle has inadvertently transformed what were once considered productivity boosters into sophisticated vehicles for remote code execution. These tools represent a shift in engineering, moving beyond chat interfaces to execute complex tasks like security auditing and

Security teams are evaluating agentic AI because security operations need faster triage, investigation, and response. The appeal is clear: AI agents can work across alerts and data sources at machine speed. However, speed alone does not guarantee better decisions. For defensive AI, context determines whether an agent understands what it is seeing, why it matters, and what action is appropriate.

Over the past years, the phishing playbook has been rewritten. In 2026, fraudulent emails don't arrive riddled with typos or bizarre requests from foreign royalty, which were easy to recognize. Nowadays, they land in inboxes looking polished, contextually relevant, and disturbingly well-informed. Cybercriminals now wield artificial intelligence, harvested corporate data, and sophisticated

As modern enterprise security teams grapple with the sheer volume of telemetry data and code repositories, the limitations of massive, general-purpose large language models have become increasingly apparent in terms of latency and operational costs. Cisco is addressing these challenges directly by introducing the Antares family of Small Language Models, which includes the Antares-350M and Antares-1B. These models represent a fundamental shift in how artificial intelligence is applied to cybersecurity, moving away from "one-size-fits-all
