Matteo Gaillo

Matteo Gaillo

Cybersecurity Expert

Matteo Gaillo is a security expert specializing in analytics intelligence. He writes about the evolution of cyber threats and the role of AI in exploiting vulnerabilities. He also provides insights on cyber protection and reviews the latest cybersecurity software and tools.

Security How Can We Bridge the Execution Gap in Network Security?

The paradox of modern cybersecurity lies in the reality that while technological visibility is at an all-time high, the fundamental metrics of defense—such as Mean Time to Remediate—frequently fail to improve at the same pace. This discrepancy highlights the execution gap, which is the manual, fra

How Can We Bridge the Execution Gap in Network Security?
Business Perspectives 2026 Digital Risk Report Reveals a Global Trust Crisis

The transition from securing hard physical perimeters to safeguarding the fluid concept of digital trust represents the most significant paradigm shift in corporate cybersecurity since the dawn of the internet. This evolution is necessitated by a fundamental change in adversary behavior, where the

2026 Digital Risk Report Reveals a Global Trust Crisis
Security How Does Agentic AI Redefine Modern Cybersecurity?

The integration of agentic artificial intelligence into core enterprise workflows has moved far beyond the experimental phase, creating a landscape where software no longer merely suggests actions but executes them autonomously. This shift represents a fundamental departure from the traditional

How Does Agentic AI Redefine Modern Cybersecurity?
Analytics Intelligence OpenAI Launches Lockdown Mode to Prevent ChatGPT Data Leaks

Malik Haidar has spent years in the trenches of multinational corporations, balancing the scales between technological innovation and the cold reality of cyber threats. As an expert who bridges the gap between deep technical analytics and high-level business strategy, he understands that security

OpenAI Launches Lockdown Mode to Prevent ChatGPT Data Leaks
Editorial Why Context Is Essential for Defensive Agentic AI in Cybersecurity

Security teams are evaluating agentic AI because security operations need faster triage, investigation, and response.  The appeal is clear: AI agents can work across alerts and data sources at machine speed. However, speed alone does not guarantee better decisions. For defensive AI, context

Why Context Is Essential for Defensive Agentic AI in Cybersecurity
Hackers & Threats Is Your Agentic AI Vulnerable to Zero-Click HITL Bypass?

The evolution of artificial intelligence has reached a pivotal juncture where autonomous agents no longer simply answer questions but actively execute workflows across multiple software environments. This transition from passive large language models to agentic systems has opened a pandora's

Is Your Agentic AI Vulnerable to Zero-Click HITL Bypass?
Hackers & Threats Agentic AI in Defense Requires Secure IT Infrastructure

The High Stakes of Entrusting National Security to Autonomous Agents The rapid transition from human-centered oversight to autonomous agentic systems represents a pivotal moment where the speed of tactical decision-making could either save lives or inadvertently invite catastrophic failure. As the

Agentic AI in Defense Requires Secure IT Infrastructure
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