The cybersecurity industry has spent the better part of two years trying to figure out how to secure AI agents. Most of that energy has pointed upstream: model governance, configuration hardening, intent-based policy layers, guardrails. Those things aren’t wrong. But they’re not enough, and focusing too heavily on them means

Artificial intelligence (AI) has reset the tempo of cybersecurity in 2026. Attackers can now automate reconnaissance, social engineering, and lateral movement, compressing the time between initial access and business impact. The result is a challenge for boards and executive teams: response windows are shrinking, and decisions about resilience can no

Three primary concerns for cybersecurity teams today are identity, pace, and a battleground shaped by global politics. The influence of AI pervades cybersecurity, giving attackers added sophistication, speed and scale. Where attacks are directed and by whom is increasingly influenced by geopolitical tensions and international alliances. But the focus of

Cybersecurity in many organizations is considered to be an IT problem, a departmental issue for the “tech guys” to sort out. But if that were ever the case, it couldn’t be further from the current reality. From increasing reliability on interconnected digitized systems and growing geopolitical tensions, organizations of all

By 2026, cybersecurity defences have reached an unprecedented level. Advanced email filtering, AI-driven threat detection, and widespread security awareness training are now standard across many organizations. Yet phishing emails and spoofed messages continue to succeed at alarming rates. These figures demonstrate a key reality: phishing emails are rarely simple or one-dimensional. Phishing has developed into