Architectural Invariant Design: Runtime-Immutable eBPF LSM Privilege Fencing for MicroVMs
Runtime-Immutable eBPF LSM Privilege Fencing for MicroVMs defines an industrial-grade behavioral standard for security engineering. Enforces deterministic, kernel-space privilege confinement for ephemeral microVM workloads by anchoring Linux Security Module (LSM) BPF hooks to cgroup contexts. Eliminates Time-of-Check to Time-of-Use (TOCTOU) capability inheritance races by making security boundaries strictly synchronous and unbypassable. 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 | Userspace Asynchronous Security Monitoring and Fail-Open LSM Hook Returns | 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 synchronous rejection (-EPERM) directly inside eBPF LSM hooks (`SEC("lsm/capable")`, `SEC("lsm/task_fix_setuid")`) rather than delegating decisions to userspace ring buffers.
Engineers MUST ALWAYS implement synchronous rejection (-EPERM) directly inside eBPF LSM hooks (`SEC("lsm/capable")`, `SEC("lsm/task_fix_setuid")`) rather than delegating decisions to userspace ring buffers.
Engineers MUST NOT allow fallback-to-allow or fail-open execution paths when BPF policy map lookups miss or return null pointers.
Engineers MUST NOT allow fallback-to-allow or fail-open execution paths when BPF policy map lookups miss or return null pointers.
Code SHOULD seal BPF policy maps with `BPF_F_RDONLY_PROG` after hypervisor initialization to prevent guest workloads from tampering with allowed capability masks.
Code SHOULD seal BPF policy maps with `BPF_F_RDONLY_PROG` after hypervisor initialization to prevent guest workloads from tampering with allowed capability masks.
Services MUST scope LSM execution contracts to specific microVM cgroups using `bpf_get_current_cgroup_id()` to avoid cross-tenant collateral enforcement.
Services MUST scope LSM execution contracts to specific microVM cgroups using `bpf_get_current_cgroup_id()` to avoid cross-tenant collateral enforcement.
Components NEVER permit capability escalation (specifically `CAP_SYS_ADMIN`, `CAP_NET_ADMIN`, `CAP_BPF`, or `CAP_SYS_RAWIO`) unless verified against a signed, pre-boot VM deployment manifest.
Components NEVER permit capability escalation (specifically `CAP_SYS_ADMIN`, `CAP_NET_ADMIN`, `CAP_BPF`, or `CAP_SYS_RAWIO`) unless verified against a signed, pre-boot VM deployment manifest.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Runtime-Immutable eBPF LSM Privilege Fencing for MicroVMs critical for AI coding assistants?
Enforces deterministic, kernel-space privilege confinement for ephemeral microVM workloads by anchoring Linux Security Module (LSM) BPF hooks to cgroup contexts. Eliminates Time-of-Check to Time-of-Use (TOCTOU) capability inheritance races by making security boundaries strictly synchronous and unbypassable. 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 (Userspace Asynchronous Security Monitoring and Fail-Open LSM Hook Returns) 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.