AI in Cybersecurity

Bugs that once hid for months now surface in hours as AI tears through codebases, configs, and clouds, collapsing the gap between discovery and attack while regulators recalibrate what counts as reasonable security. That shift is not abstract; it is operational, legal, and commercial all at once.

Seconds now decide outcomes as AI-enabled intrusions fan out across cloud, SaaS, and edge while defenders juggle exploding non-human identities, compressed detection windows, and demands for provable governance that still lets the business move fast. The Rise of AI-Native Security: Scope,

A drumbeat of faster, intertwined risks has pushed cybersecurity to the top of insurance risk agendas, and the shift is reshaping how risk is governed, staffed, and tooled across carriers, reinsurers, brokers, and insurtech partners as technology, geopolitics, climate, and conduct fuse into a

Malik Haidar has spent years inside multinational firms chasing down intrusions, deconstructing adversary tradecraft, and turning raw telemetry into board-ready decisions. He blends analytics, intelligence, and security with a sharp business lens, the kind you need when thousands of devices can go

Financial Services at an AI Crossroads: Scale, Interdependence, and Exposure Lightning-fast automation has collapsed the gap between bug discovery and breach execution, and finance now runs across rails so tightly coupled that a single fault can echo from payments to trading in minutes. Payments,

The digital battlefield has shifted from reactive firewall rules to autonomous reasoning engines capable of anticipating threats before a single packet is dropped. This transition marks the end of the signature-based era, replacing it with a paradigm where defensive systems learn and adapt in