Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A prompt injection attack through server logs becomes possible when hidden instructions are processed later by an AI log analysis tool. That turns normal logging into a possible data exfiltration path and gives attackers a new way to abuse LLM workflows without touching the main application logic.

AI agents are creating a new penetration testing risk when they act beyond the tester’s intent and leave messy accountability behind. Once an agent touches email, tickets or workflows in a user’s name, legal, forensic and control problems start stacking up fast.

Human in the loop AI security is failing because analysts are asked to review machine-speed output at human speed. AI now produces too many alerts, findings and decisions for manual review to remain the main safety control in modern cyber defence.

Shadow AI is already inside many companies through unapproved AI tools, local LLMs and public AI apps used without oversight. That creates data security, governance and compliance risk because the business often has no clear view of what is being used or where sensitive information is going.

Third party risk management is breaking because AI writes the questionnaire and AI writes the answer. That leaves security teams with polished vendor responses, less proof, and far less confidence that supplier controls, governance and cyber risk are being measured honestly.

Privacy is getting harder to maintain. Governments are expanding surveillance. But there are practical steps you can take right now to secure your digital life and protect your family. James Rees walks through exactly how to do it. From choosing an operating system to securing your email and banking to protecting your devices. It's not expensive and it doesn't require being a tech expert. Operating system choice matters. VPNs are non negotiable. Backup everything with MFA enabled. Diversify your bank accounts. Use credit cards instead of debit cards. And yes, keep some cash on hand.

Defence in depth has evolved every time the technology landscape has shifted. The internet, virtualisation, cloud, SaaS. AI is the next shift, and the old model isn't keeping up. Welcome to Razorwire, the podcast where we share our take on the world of cybersecurity with direct, practical advice for professionals and business owners alike. I'm Jim and in this episode, I'm joined once again by Martin Voelk, co-founder of SpartanX and an ethical hacker with nearly 26 years in cybersecurity.

AI agents and AI coding are creating a new software supply chain risk inside development teams. When coding agents pull code, prompts, skills and open source packages straight from GitHub, insecure code and malicious dependencies get much closer to production.

This episode explores how defence in depth is changing in an AI enabled business world, where code driven systems, supply chain risk and offensive AI are moving faster than defenders can react. It looks at why human in the loop is failing, why visibility still comes too late, and what modern cyber defence needs to become next.

AI is moving so fast that even security professionals feel they are staring over an event horizon without knowing what comes next. Public information alone is already unsettling, and the fear grows when you consider what is happening beyond open sources, from hidden capabilities to post quantum risk no one has fully mapped yet.