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Sysdig Blog

Masterclass: AI is more than ChatGPT and LLMs CVE-2026-39987 update: How attackers weaponized marimo to deploy a blockchain botnet via HuggingFace 5 steps to securing AI workloads Marimo OSS Python Notebook RCE: From Disclosure to Exploitation in Under 10 Hours Security briefing: March 2026 The Sysdig MCP server is now available in AWS Marketplace Risk isn’t reduced until you take action: How teams resolve issues in the cloud AI infrastructure security: Why it deserves its own category Three pillars for building effective runtime-powered cloud defense, the right way Closing the cloud security gap with runtime security Seeing risk isn’t stopping it: Why visibility alone isn’t enough TeamPCP expands: Supply chain compromise spreads from Trivy to Checkmarx GitHub Actions AI coding agents are running on your machines — Do you know what they're doing? Runtime security for AI coding agents: Protecting AI-assisted development How runtime insights power every cloud security use case CVE-2026-33017: How attackers compromised Langflow AI pipelines in 20 hours Inline Cloud Response: Accelerating AWS threat containment for SOC teams Runtime malware detection for AWS Fargate Detecting CVE-2026-3288 & CVE-2026-24512: Ingress-nginx configuration injection vulnerabilities for Kubernetes Malware detection with Sysdig Security briefing: February 2026 Leveling up Kubernetes Posture: From baselines to risk-aware admission Eliminating runtime blind spots: How CleanStart and Sysdig build continuous trust across the container lifecycle LLMjacking: From Emerging Threat to Black Market Reality Real risks live at runtime: Why CISOs must care about deep telemetry in 2026 Sysdig named a Leader in the Forrester Wave™: Cloud Native Application Protection Solutions, Q1 2026 How to run rootless containers AI-assisted cloud intrusion achieves admin access in 8 minutes Security briefing: January 2026 Securing GPU-accelerated AI workloads in Oracle Kubernetes Engine
How to create custom cloud security controls faster with ...
Blair Howard · 2026-05-18 · via Sysdig Blog

Modern cloud security posture management (CSPM) platforms, such as Sysdig, provide strong insight into misconfigurations, risks, and how environments align to benchmarks like CIS.

Sysdig is also the first to introduce headless cloud security, extending capabilities like CSPM custom controls beyond the user interface and into the workflows where teams already operate.

For many organizations, the challenge is not identifying risks. It’s operationalizing security requirements quickly and consistently across environments.

That challenge becomes especially apparent when teams need to build custom controls tied to specific compliance, custom or operational requirements. Translating those requirements into enforceable policy often means interpreting benchmark language, combining multiple conditions into a single rule, validating the logic, and integrating the control into infrastructure workflows.

Each step can introduce delays, increase operational overhead, and create dependency on a small number of individuals with deep policy expertise. As environments scale, maintaining consistency across custom controls becomes even more difficult.

Why policy-as-code becomes a bottleneck

Policy-as-code frameworks like Rego provide the flexibility and precision needed to create powerful custom controls. But translating security requirements into policy still requires specialized expertise and time.

Even relatively simple requirements, such as combining access conditions with configuration states and exclusions, can quickly expand into detailed policy definitions that require careful validation before deployment.

The challenge is not the capability of the language itself, but the operational effort required to implement policies consistently at scale. This is where custom control workflows can slow you down, limiting how quickly organizations can move from requirement to enforcement.

Custom cloud security controls with headless cloud security

Headless cloud security extends security beyond a fixed user interface by delivering capabilities through APIs, automation, and Sysdig skills. Rather than replacing the SaaS experience, it allows organizations to integrate security directly into the workflows and environments where teams already operate, from terminals to automation pipelines.

For custom controls, this shifts the experience from manual policy creation to guided, intent-driven workflows. Analysts can describe what a control should detect or enforce using natural language, while the custom controls skill helps translate that intent into validated policy logic.

This reduces the need for deep Rego expertise while helping teams streamline control creation and improve consistency across environments. Built-in validation ensures important details such as conditions, exclusions, severity, and enforcement intent are confirmed before a policy is generated.

Once validated, policies can be automatically generated and deployed through infrastructure as code workflows using tools like Terraform, enabling teams to operationalize custom controls through the same automated processes already used to manage infrastructure.

The result is a faster and more scalable approach to custom control creation. Instead of relying on manual policy development and disconnected workflows, organizations can create, validate, and deploy controls through repeatable automation that improves operational efficiency without adding unnecessary complexity.

Accelerating custom control operations

Custom controls are where security requirements become actionable across the environment. By extending control creation into headless, programmatic workflows through Sysdig skills, organizations can reduce the operational overhead traditionally associated with policy creation and enforcement.

Instead of relying on senior members to develop policies manually and fragmented workflows, teams can create, validate, and deploy custom controls faster through repeatable automation and infrastructure as code practices. This helps organizations improve consistency across environments, scale enforcement more efficiently, and accelerate how quickly security requirements turn into operational controls. Headless cloud security skills are available today for existing Sysdig customers. If you are a security leader whose engineers have started building around your security stack with AI, request a demo to see this live in action