Architectural Invariant Design: eBPF Tetragon Anonymous Memory Execution (memfd_create) Enforcement
eBPF Tetragon Anonymous Memory Execution (memfd_create) Enforcement defines an industrial-grade behavioral standard for security engineering. Enforces kernel-level interception via Cilium Tetragon TracingPolicies to detect and terminate fileless binary execution originating from anonymous memory descriptors. Prohibits unchecked combinations of memfd_create, fexecve, and execveat at the kernel boundary to prevent in-memory malware delivery within containerized workloads. 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 | Permissive Kernel Syscall Policies Enabling Fileless In-Memory Execution via Anonymous File Descriptors | 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 enforce synchronous termination (`action
Engineers MUST ALWAYS enforce synchronous termination (`action: Sigkill`) on unauthorized `memfd_create` and `execveat` syscall executions inside production namespaces.
Engineers MUST NOT rely exclusively on Tetragon audit/monitoring modes (`action
Engineers MUST NOT rely exclusively on Tetragon audit/monitoring modes (`action: Post`) for container runtime attack surfaces vulnerable to memory-only payload staging.
TracingPolicies MUST filter explicitly on `sys_enter_execveat` and evaluate the `AT_EMPTY_PATH` flag (0x1000) when resolving file descriptor execution.
TracingPolicies MUST filter explicitly on `sys_enter_execveat` and evaluate the `AT_EMPTY_PATH` flag (0x1000) when resolving file descriptor execution.
Services MUST scope Tetragon policies at the `TracingPolicyNamespaced` level for tenant isolation or `TracingPolicy` cluster-wide with strict namespace selector matches.
Services MUST scope Tetragon policies at the `TracingPolicyNamespaced` level for tenant isolation or `TracingPolicy` cluster-wide with strict namespace selector matches.
Components NEVER execute binaries directly from memory descriptors (`/proc/self/fd/*` or anon_inode) inside production application containers.
Components NEVER execute binaries directly from memory descriptors (`/proc/self/fd/*` or anon_inode) inside production application containers.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is eBPF Tetragon Anonymous Memory Execution (memfd_create) Enforcement critical for AI coding assistants?
Enforces kernel-level interception via Cilium Tetragon TracingPolicies to detect and terminate fileless binary execution originating from anonymous memory descriptors. Prohibits unchecked combinations of memfd_create, fexecve, and execveat at the kernel boundary to prevent in-memory malware delivery within containerized workloads. 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 (Permissive Kernel Syscall Policies Enabling Fileless In-Memory Execution via Anonymous File Descriptors) 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.