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.

If you’re part of a cloud-first organization, building in fintech, healthcare, SaaS, or any environment where infrastructure shifts fast and data matters, external risk isn’t theoretical; it’s operational, with breach patterns evolving and compliance expectations tightening, visibility into what you’ve exposed online is no longer optional.

As of February 6, 2025, India has over 740 million Ayushman Bharat Health accounts(ABHA), and close to 500 million health records linked with ABHA. Moreover, this architecture caters to more than 1,59,000 healthcare facilities and the personal data of over 6,00,000 professionals (under the HPR), respectively, with five digital foundational pillars.

APIs run the show today. Whether it’s a mobile app fetching user data, a SaaS platform integrating with Stripe, or a microservice coordinating with ten others, APIs are the glue and the backbone. This is something that attackers are notoriously aware of. The challenge? Most security tooling still operates on a page-view and form-based model. It can’t view the business logic of API calls, like knowing who is supposed to do what on what object and in what context.

Modern cybersecurity presents organizations with an insurmountable problem: even security experts struggle to define what constitutes a vulnerability, and thousands of new vulnerabilities are identified daily. Traditional vulnerability management methods often introduce noise rather than signal, hindering strategic decision-making regarding resource allocation and the erosion of security posture over time.

Your security team just flagged a critical vulnerability in production that last cycle’s scan missed. Now you are juggling incident tickets, compliance gaps, and a CISO demanding answers. This is not about blame. It’s about coverage. In environments where containers spin up and down every second, endpoints scatter across continents, and CI/CD pipelines deploy code multiple times a day. Traditional scanners simply can’t keep pace.