Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

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.

The majority of web experiences are currently developed with Single Page Applications to offer a fast, seamless, and undeniably effective user experience. Frameworks such as REACT, Angular, and Vue.js have turned the browser into an application runtime rather than a passive page loader. Nevertheless, this transition is associated with a security price that most teams continue to underestimate. Dynamic Application Security Testing (DAST) tools were designed to work with simpler web applications.

Your app isn’t just HTML anymore. It is containers talking to microservices, SPA front ends calling GraphQL, and third‑party SDKs everywhere. That mix creates blind spots and unpredictable OWASP Top 10 gaps. Continuous DAST looks through every layer, including mobile backends, APIs, and container workloads, simulating attacker behaviour across your entire technology stack. Hence, no more guessing which component hides the next SSRF, injection, or misconfiguration.

DAST often underdelivers, not because the tool is broken, but because it’s misapplied. It gets dropped into pipelines without strategy, runs against partial environments, skips authenticated areas, and generates findings that teams ignore. The result is predictable: wasted cycles and lost credibility. DAST best practices focus on addressing operational failures that render scans ineffective.