Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Developers work in a few core loops: writing code, committing changes, installing dependencies, and increasingly working alongside AI in the editor. Aikido Expansion Packs are built around those moments. They let you add focused security capabilities to Aikido that run locally, inside your IDE, and fit naturally into how developers already work. Each pack addresses a specific part of the workflow and does not require new tools, new pipelines, or new processes.

The International AI Safety Report 2026 is one of the most comprehensive overviews to date of the risks posed by general-purpose AI systems. It’s compiled by over 100 independent experts from more than 30 countries, and shows that while AI systems are performing at levels that seemed like science fiction only a few years ago, the risks of misuse, malfunction, and systematic and cross-border harms are clear. It makes a compelling case for better evaluation, transparency, and guardrails.

What is cloud application security? Cloud application security is the set of practices, tools, and policies that protect applications running in cloud environments across their entire lifecycle—from code development through CI/CD pipelines to production runtime. Unlike traditional perimeter security, it must protect multiple layers simultaneously: application code, container images, Kubernetes orchestration, and underlying cloud infrastructure under the shared responsibility model.

Compliance evidence only works if it reflects the current state of the system. At Aikido, we’ve always treated compliance as a byproduct of good security, not a separate exercise teams need to prepare for. That’s why Aikido integrates with multiple compliance platforms. The goal is simple: let teams use the security data generated in Aikido wherever they run their compliance programs, without changing how they work or maintaining parallel processes.

As part of the JFrog Security Research team’s ongoing work, we continuously monitor newly published packages across multiple ecosystems for malicious activity. This effort serves the broader open source community through public research disclosures, and it directly impacts the detection capabilities behind JFrog Xray and JFrog Curation. Our scanning pipeline uses a broad set of indicators to detect suspicious behavior.

Aikido Package Health surfaces the true health of an open source package with a single score. It helps devs understand stability, maintenance quality, and supply-chain risk before installing a dependency. Aikido Package Health is a public service that assigns a clear Health Score to open source packages. It gives you an honest signal about which dependencies are well-maintained and safe to adopt, and which ones might need extra scrutiny before you pull them into your project. The goal is simple.

The difference between a secure organization and a breached one depends on how well security is embedded into the Software Development Life Cycle (SDLC). Is security a built-in capability, or was it added after the core architecture was already in place? When it’s the latter, security is scattered and breaches happen.