Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

APIs have quietly become the new first point of failure. They run the workflows your customers see, as well as the ones they never do. Every transaction, every authentication, every AI-driven feature is stitched together through APIs. That same interconnection has made them one of the most consistently underprotected parts of modern infrastructure. The numbers show the shift.

For most CTOs, the real compliance problem is not passing audits. It is how compliance pushes releases to a halt and drains DevOps velocity. Code ships daily, deployments span clouds, and CI/CD moves fast. Quarterly or annual checks simply do not keep up, and that gap creates audit fatigue and surprise findings. Continuous compliance reframes this by integrating controls into the delivery process.

In Uber’s 2022 breach, attackers didn’t crack encryption or exploit some unknown flaw. They flooded an employee with MFA prompts until they became exhausted. One careless tap, and an entire enterprise was open. The lesson isn’t that MFA failed. It’s that MFA itself can become the exploit surface. From AiTM phishing proxies like EvilGinx to automated OTP interception, attackers treat MFA like DevOps treats CI/CD, i.e, scalable, repeatable, and scriptable.

Your API rollout is on track. Code’s tested, endpoints documented. John from security asks for the third revision of your vulnerability assessment, and your release date slips another two weeks. Sounds familiar? You are not alone. According to a recent report by Salt Security, 99% companies reported at least one API security incident in 2024-25. And here’s the kicker: 95% API attacks come from authenticated sessions, proving that tokens alone don’t cut it anymore.

In the first half of 2024, 7.78M attacks hit the UK, driven by AI-fueled threats and persistent exposure. Even with Zero-Trust, human error and zero days can still risk an AI-powered breach. Penetration testing is crucial but with 50+ providers, who can you trust?

Azure CSPM (Cloud Security Posture Management) helps users maintain secure cloud setups. This post covers the basics, including the role of scanning virtual machines, various scan methods, and methods for viewing results.

For years, the cybersecurity community has discussed the theoretical risks of artificial intelligence. We’ve imagined biased algorithms and adversarial attacks, but these conversations usually stayed hypothetical. That era is over. It’s time to move beyond the theory and into the practical “how-to” of finding and exploiting vulnerabilities in AI systems. To execute this, the new OWASP AI Testing Guide (AITG) is indispensable.

Globally, DDoS attacks surged 108% year‑over‑year, API‑targeted bot assaults jumped 39%, and nine out of ten sites faced bot attacks by the end of 2024. Application‑layer threats are evolving faster than ever, and annual or quarterly scans simply can’t keep up. Yet most teams still treat security as a checkbox, i.e., formal, slow, and disconnected from rapid releases.

It is becoming increasingly common for APIs to be exploited by threat actors. Broken Object Level Authorization (BOLA) attacks are also on the rise and represent a critical general vulnerability. The problem is relevant for a broad range of teams, including API-first companies, fintech teams, SaaS platforms, and mobile app backends. The impact of a BOLA vulnerability is significant, including data exposure and regulatory fines.

The Digital Operational Resilience Act (DORA) is the EU’s response to the increasing operational risks posed by an interconnected financial system. It’s about more than cybersecurity; it’s about proving that financial institutions can keep critical services running through disruption. That’s where DORA penetration testing fits in. It shifts testing from a technical task to a strategic control, one that connects technology, risk, and business continuity.