Architectural Invariant Design: eBPF Tetragon Dynamic LSM Capability Escape Enforcement & Synchronous Termination
eBPF Tetragon Dynamic LSM Capability Escape Enforcement & Synchronous Termination defines an industrial-grade behavioral standard for security engineering. Enforces synchronous in-kernel detection and immediate process termination via eBPF Tetragon TracingPolicies hooked into raw Linux Security Module (LSM) boundaries. Prevents container escape vectors and privilege escalations by blocking unprivileged-to-privileged namespace transitions before kernel capability handoff executes. 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 | Asynchronous Userspace Alerting or Syscall-Only Tracepoints for Privilege Escalation | 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 attach capability enforcement policies directly to raw LSM hooks (e.g., security_capable) or critical kernel cred transition points (commit_creds) rather than non-blocking raw syscall enter tracepoints.
Engineers MUST ALWAYS attach capability enforcement policies directly to raw LSM hooks (e.g., security_capable) or critical kernel cred transition points (commit_creds) rather than non-blocking raw syscall enter tracepoints.
Engineers MUST configure synchronous in-kernel Sigkill actions (action
Engineers MUST configure synchronous in-kernel Sigkill actions (action: Sigkill) within Tetragon TracingPolicies to terminate offending threads before returning control to userspace.
Engineers MUST NOT rely on userspace audit loops, daemon alerting pipelines, or post-execution logging (action
Engineers MUST NOT rely on userspace audit loops, daemon alerting pipelines, or post-execution logging (action: Post) to mitigate container breakout vectors.
Code SHOULD filter selectors explicitly by capability integer IDs (e.g., CAP_SYS_ADMIN=21, CAP_SYS_PTRACE=19, CAP_DAC_OVERRIDE=1) and ensure namespace checks differentiate host init_user_ns from containerized user_ns.
Code SHOULD filter selectors explicitly by capability integer IDs (e.g., CAP_SYS_ADMIN=21, CAP_SYS_PTRACE=19, CAP_DAC_OVERRIDE=1) and ensure namespace checks differentiate host init_user_ns from containerized user_ns.
Services MUST ensure Tetragon is deployed with BPF LSM support enabled in the host kernel (CONFIG_BPF_LSM=y) and tetragon.enforceKprobeArgs set to true.
Services MUST ensure Tetragon is deployed with BPF LSM support enabled in the host kernel (CONFIG_BPF_LSM=y) and tetragon.enforceKprobeArgs set to true.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is eBPF Tetragon Dynamic LSM Capability Escape Enforcement & Synchronous Termination critical for AI coding assistants?
Enforces synchronous in-kernel detection and immediate process termination via eBPF Tetragon TracingPolicies hooked into raw Linux Security Module (LSM) boundaries. Prevents container escape vectors and privilege escalations by blocking unprivileged-to-privileged namespace transitions before kernel capability handoff executes. 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 (Asynchronous Userspace Alerting or Syscall-Only Tracepoints for Privilege Escalation) 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.