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Serverless security covers the tools and practices for protecting function-as-a-service workloads like AWS Lambda, Azure Functions, and Google Cloud Functions, where you ship code but the provider owns the runtime. The shared responsibility line moves: you no longer patch the OS, but you are fully on the hook for function code, dependencies, IAM permissions, event triggers, and secrets. The tools here close the gaps that traditional agents and host-based scanners cannot reach, because there is no host to put an agent on. Security teams running cloud-native or event-driven architectures use this category to find vulnerable dependencies, over-permissioned roles, and runtime abuse before an attacker chains them into something worse.
We cover 3 Serverless Security tools, 2 free and 1 commercial.
Accuracy and depth improve over time. Last reviewed Jul 2026. Is something off? Reach out.
Security platform for serverless functions with vulnerability scanning & runtime
FunctionShield is a Serverless Security Library for Developers to enforce strict security controls on AWS Lambda & Google Cloud Functions runtimes.
LambdaGuard is an AWS Lambda auditing tool that provides security configuration checks, statistical analysis, and service dependency mapping for serverless functions.
Common questions about Serverless Security tools, selection guides, pricing, and comparisons.
Serverless security is the protection of function-as-a-service workloads such as AWS Lambda, Azure Functions, and Google Cloud Functions. Because the cloud provider manages the underlying servers and runtime, your responsibility shifts to the function code, its third-party dependencies, IAM permissions, event-source configuration, and any secrets it touches. The goal is to catch vulnerable code, excessive privileges, and runtime abuse without a host to install an agent on.
Container and broader cloud workload protection (CWPP) tools usually assume a long-running host or node where you can deploy an agent and watch processes. Serverless functions are ephemeral and run on infrastructure you cannot touch, so the same approach does not apply. Serverless-focused tooling leans on static analysis of code and dependencies, IAM and configuration checks, and lightweight in-function runtime defenses instead of node-level agents.
Look for dependency and code vulnerability scanning, least-privilege analysis of the function's execution role, configuration checks on triggers and environment variables, and secrets detection. Stronger options add runtime protection that blocks unexpected outbound calls, file writes, or child processes during execution. Coverage across AWS, Azure, and Google Cloud matters if your functions are not all in one place.
Start with where your functions run and which platforms a tool genuinely supports, not just the names listed on a website. Decide whether you need shift-left scanning in CI, runtime defense in production, or both. Weigh how it handles IAM right-sizing, how noisy its findings are, and whether it fits your existing pipeline and cloud security posture tooling rather than adding a disconnected silo.
Many CNAPP and cloud security posture platforms now include some serverless coverage, which may be enough if your function footprint is small or low-risk. Dedicated or runtime-focused tools tend to go deeper on in-function behavior, dependency analysis, and least-privilege tuning. The honest answer depends on how much of your business logic runs in functions and how much blast radius those functions carry.