A Seccomp Profile is a security configuration that defines a strict, one-way filter on the system calls a Linux process is permitted to invoke, drastically reducing the kernel's attack surface. By transitioning a thread into a restricted SECCOMP_MODE_FILTER state, it enforces a least privilege execution model, blocking an attacker who compromises an agent from using dangerous kernel functions like execve or ptrace.
Glossary
Seccomp Profile

What is a Seccomp Profile?
A foundational Linux kernel security mechanism for restricting process capabilities.
Implemented via the Berkeley Packet Filter (BPF) bytecode, the profile executes a predefined ruleset for every syscall, returning an action like SECCOMP_RET_ALLOW or SECCOMP_RET_KILL. This is a critical component of Autonomous Agent Sandboxing, providing a fine-grained, programmatic enforcement layer that complements namespace isolation and prevents a compromised tool-calling process from escaping its container.
Core Characteristics of Seccomp Profiles
A seccomp profile is a precise allowlist or denylist of Linux system calls that defines the kernel attack surface available to a process. Once applied, the profile is immutable for the lifetime of the process, creating a deterministic security boundary.
One-Way State Transition
A seccomp profile enforces an irreversible security boundary. Once a process loads a seccomp filter, it can never regain the ability to make restricted system calls. This one-way transition prevents compromised processes from escaping the sandbox by reverting to a more permissive state. The kernel enforces this immutability at the prctl level, ensuring that even a process with full control of its own memory cannot disable the filter.
Berkeley Packet Filter (BPF) Backend
Seccomp profiles are implemented using classic Berkeley Packet Filter (cBPF) or extended BPF (eBPF) programs. These are small, event-driven bytecode programs that the kernel executes on every system call entry. The BPF program inspects the system call number and arguments, then returns one of several actions:
- SECCOMP_RET_KILL_PROCESS: Terminate the entire process immediately.
- SECCOMP_RET_ERRNO: Return a specified error code to the caller.
- SECCOMP_RET_ALLOW: Permit the system call to proceed. This architecture ensures filtering happens in the kernel with minimal overhead.
Strict vs. Filter Mode
Seccomp operates in two distinct modes:
- SECCOMP_SET_MODE_STRICT: The most restrictive mode. The process is allowed only
read(),write(),_exit(), andsigreturn(). Any other system call triggers SIGKILL. - SECCOMP_SET_MODE_FILTER: Allows custom BPF programs to define a granular policy. This mode supports argument inspection, allowing rules like 'allow
socket()only forAF_UNIXandSOCK_STREAM'. Filter mode is the foundation for modern container runtimes and sandboxed agent execution.
Argument Inspection Capabilities
Beyond filtering by system call number, seccomp profiles can inspect system call arguments to enforce fine-grained policies. For example, a profile can allow openat() but restrict it to read-only mode by checking the flags argument for the absence of O_WRONLY or O_RDWR. This capability enables path-based restrictions and flag-based restrictions, preventing an agent from writing to critical files even if it can call the write syscall.
Integration with Container Runtimes
Modern container runtimes like Docker, containerd, and CRI-O automatically generate and apply seccomp profiles. Docker's default profile blocks approximately 44 system calls out of over 300, including dangerous calls like reboot(), kexec_load(), and bpf(). Kubernetes allows operators to define custom seccomp profiles per pod via the seccompProfile field in the security context, enabling workload-specific hardening for autonomous agent containers.
Seccomp Notify for User-Space Decisions
The SECCOMP_RET_USER_NOTIF action, introduced in Linux 5.0, allows a seccomp filter to delegate a decision to a user-space supervisor process. When a monitored system call is intercepted, the kernel sends a file descriptor to the supervisor, which can inspect arguments, make a policy decision, and instruct the kernel to allow or deny the call. This enables dynamic, context-aware sandboxing where a human-in-the-loop or an AI policy engine can approve high-risk agent actions in real-time.
Seccomp vs. Other Linux Security Mechanisms
A technical comparison of Linux kernel security mechanisms used to sandbox autonomous agent workloads, evaluating granularity, performance overhead, and attack surface reduction.
| Feature | Seccomp | AppArmor | SELinux | Namespaces |
|---|---|---|---|---|
Security Model | System call filtering | Path-based MAC | Label-based MAC | Resource isolation |
Granularity | Per syscall & argument | Per file path | Per object label | Per resource type |
Enforcement Point | Kernel entry (syscall) | VFS & IPC hooks | LSM hooks (comprehensive) | Kernel subsystem |
Attack Surface Reduction | High (kernel surface) | Medium (user-space surface) | High (full system surface) | Low (logical isolation) |
Performance Overhead | < 0.5% | 1-3% | 2-5% | < 0.1% |
Policy Complexity | Low (allow/deny list) | Medium (path profiles) | High (type enforcement) | Low (flag-based) |
One-Way Transition | ||||
Prevents Container Escape |
Frequently Asked Questions
Essential questions about Secure Computing Mode (seccomp) profiles, their role in Linux kernel security, and how they enforce least privilege for autonomous agent sandboxing.
A seccomp profile is a security facility in the Linux kernel that allows a process to make a one-way transition into a restricted state where it can only make a predefined set of system calls. Once applied, the profile acts as a system call firewall, inspecting every syscall invocation and comparing it against a Berkeley Packet Filter (BPF) ruleset. If a process attempts to call a blocked syscall—such as mount, ptrace, or reboot—the kernel can either log the violation, return an error (EPERM), or terminate the process with a SIGKILL signal. This mechanism drastically reduces the kernel attack surface by eliminating entire classes of exploits that rely on unused syscalls, making it a foundational control for least privilege execution in containerized and sandboxed environments.
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.

Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.

Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
Related Terms
Seccomp profiles are one layer in a defense-in-depth sandboxing strategy. These related concepts form the complete isolation stack for autonomous agent execution.
Least Privilege Execution
The security principle that a process should have only the minimum permissions necessary to perform its function. Seccomp enforces this at the kernel boundary:
- An agent that only makes HTTP calls needs
socket(),connect(),sendto(),recvfrom() - It does not need
fork(),execve(), orptrace() - Building a seccomp profile starts by profiling normal behavior with
strace, then generating an allowlist that blocks everything else
Execution Allowlisting
A security control that prevents any binary or script from running unless it appears on a pre-approved list. Seccomp complements this by blocking the execve() and execveat() syscalls entirely for agent workloads that should never spawn child processes. Combined with a read-only root filesystem, this creates a powerful barrier against:
- Shell injection attacks
- Download-and-execute payloads
- Unauthorized tool invocation in agentic workflows
Runtime Security
The practice of monitoring an agent's execution environment in real-time for anomalous behavior. Seccomp profiles generate audit logs via the SECCOMP_RET_LOG action, which records denied syscalls without killing the process. This enables:
- Profile refinement: Identify missing syscalls before enforcing strict mode
- Threat detection: Flag unexpected syscall patterns as potential compromise indicators
- Compliance auditing: Maintain an immutable record of all kernel interactions
Policy-as-Code
Writing security rules in a machine-readable language that can be version-controlled, tested, and automatically enforced. Seccomp profiles can be expressed as JSON and managed through:
- Kubernetes Pod Security Standards: The
RuntimeDefaultprofile enables the container runtime's default seccomp profile - Custom profiles: Defined as ConfigMaps and referenced in pod
securityContext - CI/CD integration: Profiles are validated in staging before production deployment, ensuring no regressions

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us