What does AI in the SOC look like? with Filip Stojkovski

AI SOC Anxiety: Does More Control Equal More Complexity?

SOC teams want AI they can control without recreating SOAR sprawl. This post explores why control and complexity feel linked, and how autonomy with guardrails breaks the tradeoff. The post AI SOC ...
Blog-Meet the AI Agents Powering Gurucul’s Self-Driving SIEM. Gurucul’s data democracy and AI-driven security operations, featuring intelligent AI agents orchestrating threat detection, data pipeline automation, analyst augmentation, and adaptive response across a federated security platform.

Meet the AI Agents Powering Gurucul’s Self-Driving SIEM

In a recent live demo, Gurucul unveiled its newest advancements in autonomous cybersecurity with the introduction of agentic AI capabilities, a foundational element of its Self-Driving AI SIEM. This isn’t just an ...
Raw Logs to Real-Time Defense: How Gurucul’s Self-Driving SIEM Delivers AI-Powered Threat Detection

Raw Logs to Real-Time Defense: How Gurucul’s Self-Driving SIEM Delivers AI-Powered Threat Detection

Data is the lifeblood of cybersecurity—but it’s only valuable if you can actually use it. Too often, organizations are drowning in logs and alerts, stuck manually trying to extract value from data ...
Third-Party Blind Spots: Why Your Vendors Could Be Your Biggest Cyber Risk

From Noise to Intel: How Contextual Analytics Turns Telemetry into Your Best Security Asset

Cybersecurity isn’t suffering from a lack of data. It’s drowning in it. Every firewall log, API call, and login attempt adds more noise to an already chaotic security landscape. But here’s the ...
The Gurucul REVEAL Security Analytics Platform: How it Works

The Evolution of SIEM Solutions: From Log Management to AI-Driven Security Intelligence

Security Information and Event Management (SIEM) solutions have played a crucial role in helping organizations detect, analyze, and respond to security threats, while also playing critical roles in ensuring regulatory compliance. As ...
New NIS2 Requirements broken out by entities.

Cyber Resilience in the EU: Leveraging NIS2 to Mitigate Threats

In 2016, the NIS Directive emerged as a response to the increasing frequency, sophistication, and impact of cyberattacks targeting critical infrastructure and essential services across the European Union (EU). However, over the ...
Read the Ultimate Guide to UEBA cybersecurity tools. UEBA security meaning is User and Entity Behavior Analytics.

The Rise of UEBA Cyber Security

Introduction Organizations face an ever-evolving landscape of cyber threats. Traditional security measures, once deemed sufficient, are increasingly inadequate in detecting sophisticated attacks. Enter User and Entity Behavior Analytics (UEBA), a revolutionary approach ...
Randeep Gill

Harnessing AI to Drive Business Outcomes: Insights from the CIO Report

AI is becoming a cornerstone for innovation and transformation. However, many CIOs are still struggling to effectively leverage AI to drive business outcomes and use cases while trying to understand cyber security ...
Learn how AI and cybersecurity converge at the intersection of artificial intelligence and advanced threat detection, enabling organizations to stay ahead of evolving cyber risks.

The Intersection of Cybersecurity and Artificial Intelligence

The significance of artificial intelligence (AI) and machine learning (ML) in cybersecurity is massive. As cyber threats become more sophisticated and frequent, traditional security measures have become outdated as cyber criminals are ...
Get the ultimate guide to UEBA systems to understand the UEBA security meaning and power of behavioral analytics in cybersecurity.

What is UEBA and How Does It Work?

UEBA Security Defined User and Entity Behavior Analytics (UEBA) is a security solution that monitors user activity and machine behavior within a corporate network. It uses statistical modeling and machine learning to ...