Wednesday, September 16, 2026
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Expert Talks

Beyond the Lure: What the DoNot Campaign Reveals About Modern Cyber Espionage 

By Brian Hussey, Senior Vice President of Howler Cell Threat Services at Cyderes  Cyber espionage campaigns are designed to succeed long before malware is even deployed. They often begin with sophisticated tactics such as social engineering and spear phishing, using trusted identities, timely events or convincing documents...

Your Incident Response Plan Has a Dependency You Never Approved

During the first publicly documented agent-driven intrusion, the defenders tried to analyze the attack with commercial AI models and were refused. The attacker was operating under no usage policy at all. By Brad LaPorte The most quietly alarming sentence in the Hugging...

Security in the AI Era Starts with First Principles 

Written By Alfredo Hickman, CISO, Kai  Artificial intelligence is evolving so rapidly that keeping up can feel daunting. New models, capabilities, and attack vectors seem to emerge almost daily, pressuring CISOs to constantly adjust their security strategies. Security leaders have recognized that...

Planning Your AI Security – How will You Manage All Your Resources?

AI has a role to play in Security Operations Centre (SOC) environments. According to EY, the number of senior security leaders dedicating at least a quarter of their cybersecurity budget to AI solutions for cybersecurity is expected to rise in the...

How Pro-Iran Hacktivist Networks Mobilize During Kinetic Conflict

The current conflict between the United States and Iran has become a case study in how asymmetric warfare and coalition building are reshaping the cyber and geopolitical dimensions of modern conflict. Following the United States and Israel’s joint military...

Why AI-generated identities mean verification can no longer be a one-time check

By Harry Varatharasan, Chief Product Officer, ComplyCube Meta's Muse Image tool briefly showed just how little it now takes to manufacture a convincing likeness of someone. For a few days in July, tagging a public Instagram handle was enough to...

What 434 AI-Generated Vulnerabilities Reveal About Secure Software Development

New research finds that modern AI coding models frequently generate insecure code that exposes AI-generated applications to denial-of-service attacks, hardcoded secrets and authorization failures. The rapid adoption of AI coding assistants has transformed software development, enabling developers to generate production-ready...

AI-Speed Attacks Are Forcing a Rethink of Incident Response

Byline: Nikola PetrovicAccelerating Attacks. Our Detection Processes Are Still Running on Human Time. In one of my previous roles, I regularly dealt with incident reports. Most of them arrived ex post. An incident happened, the immediate issue was handled, and a...

The Hidden Risks of Scaling Cybersecurity Without Architecture, Governance, or Accountability

Written by Padmanabham Venkiteela — a trusted advocate for responsible enterprise AI and secure, accountable technology transformation. Introduction Cybersecurity systems rarely fail because organizations lack security products. More often, they fail because security capabilities are expanded without a coherent architecture, effective...

Vinod Kumar Is Focused on the Evidence Layer Behind Enterprise Security

By Vinod Kumar Cybersecurity and AI-governance leader focused on continuous assurance, third-party trust, and accountable technology transformation Introduction Passing an audit can create a dangerous sense of security. An organization may possess a certification, an approved assessment, or a completed compliance review...

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