Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In this article Chief information security officers (CISOs) are continually tasked with understanding and deploying innovative solutions that reduce risk while increasing operational efficiency. As organizations expand their reliance on digital data and cloud-based infrastructures, the volume and complexity of security questionnaires have grown exponentially. In this environment, modernizing and streamlining these questionnaires is not simply about efficiency; it is a strategic imperative.

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.

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.

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.

Security teams face a daunting mix of relentless alerts, complex investigations, and limited resources. It’s not just about detecting threats; it's also about responding quickly and efficiently. Elastic Security has long provided prebuilt capabilities for detection, investigation, and response. But what really sets Elastic apart is its open, API-first approach that gives you the power to build and automate specific workflows at your security operations center (SOC).

At Snyk, we believe you should never have to choose between speed and security. As the age of AI transforms software development, our goal is to extend our developer-first security approach to this new era, providing the essential tools your teams need to build with confidence. Today at Black Hat, we are delivering on that vision with three tangible innovations that offer a comprehensive solution to secure the entire code lifecycle with AI.

Read key insights from GitGuardian SecDays Virtual 2025 on securing the future of autonomous AI agents.