Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data poisoning occurs when cyber criminals intentionally compromise the integrity of a data set used for training machine learning models. They corrupt the information to manipulate the model’s outcome in the form of incorrect predictions by introducing vulnerabilities that reduce the effectiveness, add security risks, and fundamentally shape its decision making capabilities.

Imagine financial analysts watching stock prices suddenly drop. Dashboards show misaligned data, market confidence disappears, and trading screens across the NASDAQ turn red. But this time, the disruption isn’t caused by politics or economic shifts. It starts with a cyberattack. We reveal how a simple and overlooked flaw in Streamlit’s file upload feature, part of a widely used open-source framework for building stock market dashboards, could be used to cause this kind of financial chaos.

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.

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.

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.

Today’s enterprising adversaries are weaponizing AI to scale operations, accelerate attacks, and target the autonomous AI agents quickly transforming modern businesses. The CrowdStrike 2025 Threat Hunting Report details this new chapter in the threat landscape. This year’s report, based on frontline intelligence from CrowdStrike’s elite threat hunters and intelligence analysts, examines how threat actors are using AI to do more with less.

The AI battleground is here. Adversaries are weaponizing AI to launch attacks with unprecedented scale, speed, and effectiveness. In response, defenders are turning to AI as an analyst force-multiplier, using it to offload repetitive tasks, accelerate decision-making, and scale expertise across the SOC.