Architectural Invariant Design: eBPF LSM In-Kernel Real-Time Capability Fence for Container Isolation
eBPF LSM In-Kernel Real-Time Capability Fence for Container Isolation defines an industrial-grade behavioral standard for security engineering. Enforces synchronous, in-kernel privilege fencing via eBPF Linux Security Module (LSM) hooks to prevent container breakouts and unauthorized capability transitions. Eliminates Time-of-Check to Time-of-Use (TOCTOU) race conditions and user-space daemon latency by resolving security decisions entirely within kernel space before execution. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Relying on Asynchronous User-Space Daemons or Kprobes for Security Enforcement | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS implement access control checks using eBPF LSM hooks (e.g., SEC("lsm/capable"), SEC("lsm/task_prctl")) rather than kprobes or tracepoints, which can be bypassed or cause TOCTOU vulnerabilities.
Engineers MUST ALWAYS implement access control checks using eBPF LSM hooks (e.g., SEC("lsm/capable"), SEC("lsm/task_prctl")) rather than kprobes or tracepoints, which can be bypassed or cause TOCTOU vulnerabilities.
Engineers MUST NOT permit capability transitions (such as CAP_SYS_ADMIN, CAP_SYS_PTRACE, CAP_NET_ADMIN) inside container cgroups unless explicitly allowed by an immutable, pinned BPF map policy.
Engineers MUST NOT permit capability transitions (such as CAP_SYS_ADMIN, CAP_SYS_PTRACE, CAP_NET_ADMIN) inside container cgroups unless explicitly allowed by an immutable, pinned BPF map policy.
Code MUST return negative error codes (-EPERM, -EACCES) directly from the LSM hook to abort execution before kernel data structures are modified.
Code MUST return negative error codes (-EPERM, -EACCES) directly from the LSM hook to abort execution before kernel data structures are modified.
Services MUST compile eBPF programs using BPF CO-RE (Compile Once - Run Everywhere) with vmlinux.h to guarantee portability and memory-safe struct offset resolution across kernel versions.
Services MUST compile eBPF programs using BPF CO-RE (Compile Once - Run Everywhere) with vmlinux.h to guarantee portability and memory-safe struct offset resolution across kernel versions.
Components NEVER fall back to user-space IPC or asynchronous ring-buffer polling to decide whether a syscall should be permitted or blocked.
Components NEVER fall back to user-space IPC or asynchronous ring-buffer polling to decide whether a syscall should be permitted or blocked.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is eBPF LSM In-Kernel Real-Time Capability Fence for Container Isolation critical for AI coding assistants?
Enforces synchronous, in-kernel privilege fencing via eBPF Linux Security Module (LSM) hooks to prevent container breakouts and unauthorized capability transitions. Eliminates Time-of-Check to Time-of-Use (TOCTOU) race conditions and user-space daemon latency by resolving security decisions entirely within kernel space before execution. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Relying on Asynchronous User-Space Daemons or Kprobes for Security Enforcement) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.