Cyber Risk Management

The introduction of agentic artificial intelligence into the cybersecurity landscape has fundamentally altered the way modern enterprises protect their most sensitive digital assets from sophisticated external threats. In the high-stakes environment of 2026, relying solely on traditional

Malik Haidar has spent his career at the intersection of high-level intelligence and corporate security, navigating the complex landscapes of multinational corporations. He is not just a technician but a strategist who understands that the modern perimeter isn't a firewall—it's a mindset.

The contemporary health payer landscape has undergone a radical transformation where massive datasets now traverse high-speed cloud environments with unprecedented velocity, yet the security frameworks governing this information often remain anchored in the manual methodologies of previous decades.

The persistent failure of perimeter-based security measures highlights a fundamental flaw in the traditional belief that internal network traffic is inherently trustworthy and safe. As digital transformations accelerate, the castle-and-moat strategy has crumbled under the weight of distributed

The rapid transition from simple text-based conversational interfaces to fully autonomous AI agents has introduced a profound paradigm shift in how users interact with software, yet this evolution also exposes a critical vulnerability inherent in the statistical nature of large language models.

The sheer volume of encrypted and unencrypted traffic crossing modern enterprise boundaries creates a playground for sophisticated actors who exploit the very tools designed to monitor them. When a network analyst opens a capture file, they are essentially trusting a complex piece of software to