Editorial

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

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

AI is being adopted across enterprise infrastructure faster than most security programs can respond. The result is a recognizable pattern: pilots stall, leaders question control, and business value sits idle while compliance reviews drag on. What security teams need is a security architecture built

Attackers do not beat the best tools. They beat the gaps between them. The average enterprise is awash in agents, logs, and dashboards. Yet the first thing that fails in a real incident is not the firewall or the endpoint. It is awareness. If a system, identity, or connection is invisible, it is

Cybersecurity threats continue to evolve at an unprecedented pace. Attackers are becoming more sophisticated, regulations are multiplying, and the consequences of a breach are higher than ever. For small and medium-sized businesses (SMBs), staying ahead requires both strategic foresight and

Security and networking are converging into a single control plane. The old split between box-first networks and bolt-on security cannot keep up with modern threats or sprawling hybrid environments. That is the backdrop for Fortinet’s current push: unify the stack, compress operational overhead, a