AI in Cybersecurity

AI in cybersecurity enhances threat detection, response, and prevention through advanced algorithms and machine learning. It identifies anomalies, automates incident response, and predicts emerging threats, providing faster, more accurate protection. AI-driven cybersecurity improves efficiency, reduces human error, and strengthens defenses against sophisticated attacks.

Maximizing Security with SIEM Services

SIEM solutions play a pivotal role in enhancing event management security. They aggregate logs and other security-related documentation for real-time analysis and demonstrate the following key capabilities:

Dries Morris

Jul 304 min read

Challenge, Opportunity, and Forward Motion

The Role of AI in Vulnerability Management

In the relentless race between defender and adversary, the organizations that blend AI’s speed with human context will not just keep up—they will lead.

Dries Morris

Jul 153 min read

Beyond Visibility: Why the Future SOC Needs AI Agents, Not Just More Alert

This broader movement — toward agentic AI operating systems — is reshaping how we think about automation itself.

Dries Morris

Jul 22 min read

Leadership at the Edge of the Singularity: Are You Ready for Exponential Times?

Did you know 70% of executives feel unprepared for the pace of AI-driven change? If you’re leading today, you’re standing at the edge of...

Dries Morris

Jun 132 min read

From Alert Fatigue to Analyst Focus: The Case for AI-SIEM in Modern SOCs

Reducing alert volume is just the beginning. AI-SIEM lets you refocus your SOC around outcomes—speed, accuracy, and resilience. It’s the shift from reactive alerting to proactive defense.

Dries Morris

May 282 min read