Aqua Cloud Native Blog › Categories: RUNTIME SECURITY

TL;DR When a container is compromised, the SOC needs the full picture of what happened and fast. The problem is that runtime security data from cloud native workloads often lives outside Splunk, in a separate tool the analyst must pivot to at exactly the wrong moment. Aqua’s integration with Splunk solves this by streaming its …

TL;DR: Frontier AI models are discovering zero day vulnerabilities and weaponizing them in hours. Boards, regulators and underwriters have noticed, and they are asking a question most CISOs cannot answer: “What does our exposure cost in dollars?” Reporting in CVE counts and CVSS scores made sense when the threat timeline gave security teams room to …

TL;DR Anthropic recently launched Claude Code Security. Using its most advanced model, Claude Opus 4.6, the tool found over 500 high-severity vulnerabilities in production open-source codebases. These are bugs with security implications that had survived decades of expert review, continuous fuzzing, and multiple layers of automated scanning. The cybersecurity market reacted badly: roughly $15 billion …

Cloud threat detection is changing as attacks increasingly unfold inside running workloads rather than in static code or configuration layers. This shift affects how detection works in practice and how security teams are able to investigate incidents once alerts appear.

Every attack leaves a trail, but in containerized environments, that trail can vanish before you even realize you have been attacked. Containers are short-lived, and attackers exploit this by executing malware in memory, loading hidden payloads, or deploying rootkits, then silently modifying or deleting evidence to cover their tracks. By the time security teams are …

On March 14th, 2025, security researchers discovered a critical software supply chain vulnerability in the widely-used GitHub Action tj-actions/changed-files (CVE-2025-30066). This vulnerability allows remote attackers to expose CI/CD secrets via the action’s build logs. The issue affects users who rely on the tj-actions/changed-files action in GitHub workflows to track changed files within a pull request. …

In the dynamic world of cloud native, security teams are inundated with an overwhelming flood of alerts—far too many for any team to realistically manage. This constant barrage creates a risky dilemma: sift through the noise or silence alerts, risking missing real attacks. Like Johnny Cash’s “Walk the Line,” security teams must strike a careful …

Aqua Tracee is an open source runtime security and forensics tool for Linux, built to address common Linux security issues. Tracee’s main use case is to be installed in a production environment and continuously monitor system activity and detect suspicious behavior. Some alternative use cases which Tracee can be used for are dynamic malware analysis, …

Gartner has estimated that “90% of global organizations will be running containerized applications in production by 2026—up from 40% in 2021.”   The inherent benefits of cloud native application development enable developers to introduce new code into the environment at an accelerated rate. However, the dynamic nature of these environments amplifies the risks associated with runtime …

We are excited to announce the latest addition to our portfolio, our eBPF-based Aqua Lightning Enforcer. It’s designed for busy security professionals to detect zero-day attacks and sophisticated threats that occur in runtime. It utilizes eBPF technology, making it more effective, safer, and faster. The new Lightning Enforcer and our Runtime Protection solution is an …

Aqua Tracee is an open source runtime security and forensics tool for Linux. It can help you detect suspicious behavior at runtime using an extensive data collection engine and a sophisticated rules engine. You can further read about the development of Tracee in our blog The Story of Tracee: The Path to Runtime Security Tool.

Attackers are sophisticated, there is always a lag between zero days and mitigation, and production workloads are critical. So why is the adoption of runtime security for cloud native applications still lower than shift-left security practices for the same applications?