Kernel-Layer AI Governance Subversion Engine
The Problem
AI agent security frameworks increasingly rely on kernel-level enforcement: eBPF-based syscall monitoring, BPF-LSM security policies, namespace sandboxing, and cryptographically signed audit ledgers. These mechanisms are marketed as tamper-proof. SPECTER KERNEL is the world's first tool that systematically dismantles every one of them — proving that an attacker who can load an eBPF program can defeat AI governance at the kernel layer without ever touching the governance framework itself.
Architecture
Each subsystem targets a distinct layer of kernel-enforced AI governance. Run independently or chain together for full end-to-end attack chain evidence.
Proof
SPECTER KERNEL does not just find vulnerabilities — it generates machine-readable, hash-chained proof of governance failure at every layer.
Safety Gate
SPECTER KERNEL requires KAMIKAZE-class authorization for all active exploitation. The eBPF compilation, LSM hook loading, and container pivot capabilities require both the UNLEASHED Ed25519 key and explicit --confirm-destroy confirmation. KERNEL_ENV_PROBE and EVIDENCE run unauthenticated.
Deployment
SPECTER KERNEL is an authorised security research and penetration testing tool. Loading eBPF programs into a production kernel without explicit written authorisation from the system owner is prohibited. Active LSM hook installation and namespace escape capabilities are designed for isolated test environments only. Red Specter Security Research Ltd assumes no liability for misuse. This tool requires root or CAP_BPF capability to operate.
Kernel-Layer AI Governance Subversion Engine | NIGHTFALL Framework
Authorised use only. KAMIKAZE Ed25519 dual-gate enforced on all active kernel operations.