Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Software delivery today is a delicate balancing act between moving quickly and maintaining security. CXOs chase release velocity, PMs measure success by the number of features shipped, and developers are asked to code faster with every sprint. However, every pipeline that prioritizes speed without embedded security is essentially gambling with the risk of a breach. Legacy security models still act like toll gates, piling on reviews and post-deploy scans that stall progress.

Most teams run on velocity budgets, not risk budgets. While features get sprints, milestones, and release slots, risk, on the other hand, gets hope. When scan depth and speed decisions are made without an explicit budget for risk, the outcome is predictable: throughput is optimized while exposure compounds silently in the background.

When engineers stress-test a bridge, they don’t ask the pedestrians to sign off on safety. They put the liability squarely on the designers, contractors, and city officials, i.e., if it fails, it’s their names on the line. CERT-In 2025 audit guidelines and framework apply the same logic to digital infrastructure. No more passing the buck to auditors; CXOs must sign risks, PMs must certify vendors, and developers must prove security in every build.

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.