What Is Application Security? A Practical Guide for 2026
Application security in practice: what it covers, where traditional scanners fall short, and how to build a programme that ends in shipped fixes rather than a backlog of tickets.
Practical, in-depth guides on finding the vulnerabilities that actually matter — across code, cloud, and the AI systems now writing both.
Application security in practice: what it covers, where traditional scanners fall short, and how to build a programme that ends in shipped fixes rather than a backlog of tickets.
Everything that goes into shipping secure software: finding real vulnerabilities in code, triaging what actually matters, and fixing it without stalling the teams building fast.
1 guideHow to run a vulnerability programme that ends in fixes rather than tickets: scanning, deduplication, prioritisation by real exploitability, and closing the loop on remediation.
1 guideSeeing your attack surface the way an attacker does — assets, identities, and misconfigurations across cloud and code — and knowing which exposures are genuinely reachable.
2 guidesSecuring AI systems, and using AI to secure everything else: agent behaviour, model and prompt risk, the supply chain behind them, and where automation genuinely outperforms a human reviewer.
1 guideContinuous threat exposure management is a program model, not a product. Here is what its five stages produce, and where AI changes the work inside them.
Discovery tells you what exists. Exposure management tells you what an attacker could chain together. A guide to building an inventory you trust and validating what is genuinely reachable.