Infosecurity Opinions
Shadow AI is Your New Attack Surface
Shadow AI is your new perimeter. And most organizations don’t have adequate governance in place to defend it
What Performing in Opera Taught Me About Succeeding in Cybersecurity
My focus on growth in opera, with countless hours devoted to vocal training, collaboration and live performances, has directly fed into my development as a cybersecurity practitioner. The connection is quite natural.
AI is Already Powering Cyber-Attacks. Can it Power Cyber Defense?
Defenders cannot respond effectively if their operational model still depends entirely on human-scale review cycles and fragmented visibility
The New Hacktivists: How Global Conflict Turned a Nuisance Into a Security Threat
Hacktivism is everywhere, encompassing hundreds of groups across the globe. Here's how to counter them
The Readiness Gap: What Wimbledon Reveals About Modern Cyber Defense
Many organizations believe they are protected from cyber-attacks. But infrastructure never stands still
Ethical AI Is an Operational Discipline, Not a Philosophy
Safety requirements for AI in cybersecurity cannot be limited to proselytizing about good intents, it must demonstrate control, containment, and cleanup
The Security Coverage Gap is a Math Problem
The economics of offensive operations are changing, and defenders must react now.
AI in Cybersecurity Has a Value Problem, Not a Technology Problem
The reason AI cybersecurity projects fail is rarely because the technology doesn't work. It's that organizations haven't defined what "working" means
The Human Cost of Ransomware: Why CISOs Must Think Beyond Technology
Organizations must prepare their people for what happens if faced with a ransomware attack, not just their systems
Frontier AI Models Point to a Shift Defenders Are Not Ready For
The challenge for enterprises is not simply the volume of new vulnerabilities, but the operational burden of responding to them quickly enough
The Shared Language Needed to Secure and Govern AI Systems
Cybersecurity professionals need understand enough about data and statistics to bring a level of transparency and understanding around how AI models learn and predict
What The FIFA World Cup 2026 Means For Fraud
The 2026 FIFA World Cup in North America will be the biggest yet, with more host countries, participants and matches than ever before. Thomas Peacock, director of global fraud intelligence at BioCatch, analyses banking data from previous football tournaments to examine how major sporting events reshape digital activity and fraud risk.
Shadow AI is Exposing the Same Governance Failures Cybersecurity Teams Have Ignored For Years
As organizations rapidly implement AI governance policies in response to rising shadow AI usage, many are repeating the same operational governance mistakes that have historically weakened cybersecurity compliance programs
Securing the AI-Driven Public Sector: Why Data Governance and Trust Must Come First
AI offers improved decision-making and efficiency. But it also introduces significant cybersecurity and governance challenges
The Beginning of the End of Human Penetration Testing
There’s nothing inherently wrong with human pen testers, but there are many drawbacks. AI pen testing could change everything.
Why the Surge in DDoS Attacks Should Worry Security Leaders
As botnets grow larger and attackers become more opportunistic, organizations can no longer treat DDoS resilience as a secondary concern
Cyber House Party: More Than Just an After Party
Cyber House Party 2026 at Infosecurity Europe returns on June 3 at the ExCeL London, bringing the cybersecurity community together for networking, fun and fundraising
Breaking The Silo: What ECCTA’s Information-Sharing Gateway Means for Security Leaders
Learn how ECCTA 2023 enables secure data-sharing between institutions, helping CIOs and CISOs tackle economic crime with integrated, cross-sector visibility
Math, Morals, and the Machine: Perspectives on AI Security and Ethics
The task ahead is not to give machines a conscience. It is to design systems where failures are predictable, constrained, and survivable
AI Agents Are Here. Security Must Be an Accelerator for AI Transformation
As agents are being deployed, security and risk leaders need to identify and resolve blind spots before they outpace controls
