Information Security · Proactive Defense
Neural Network Telemetry & eBPF Anomaly Detection for Sovereign Cloud Firewalls
Defense Architecture: Signature-based intrusion detection only catches yesterday’s exploits, while noisy SIEM alert rules overwhelm small security teams with false positives. By attaching lightweight eBPF probes to Linux kernel tracepoints and scoring process-socket graphs against per-service behavioural baselines, our security stack detects and isolates anomalous lateral movement in under 4.5 seconds.
Contents
1. The blind spots of perimeter firewalls and user-space agents
Once an attacker compromises an application credential or exploits a vulnerable dependency inside a cloud container, perimeter firewalls offer little resistance if internal microservices trust each other’s private IP addresses. Worse still, traditional user-space monitoring agents can be blinded orTampered with if the intruder gains elevated privileges inside the container, or can introduce unacceptable CPU overhead on high-throughput data nodes.
To defend critical healthcare, financial, and enterprise workloads, security telemetry must be collected from a vantage point that the monitored container cannot alter: the host Linux kernel.
2. Kernel-level observability with eBPF tracepoints
Extended Berkeley Packet Filter (eBPF) allows verified, sandboxed bytecode programs to run directly inside the Linux kernel in response to system calls, network socket events, and filesystem operations — without loading risky kernel modules or pausing application threads.
In TICNES AI’s security architecture, our Rust-based collector attaches eBPF probes to a focused set of high-signal kernel events:
| Kernel Hook / Tracepoint | Telemetry Captured | Threat Pattern Detected |
|---|---|---|
| `sched_process_exec` | Binary hash, parent PID lineage, UID/GID, cgroup namespace | Web server or Python worker spawning unexpected `/bin/sh` or `curl` child processes |
| `tcp_connect` / `inet_sock_set_state` | Destination IP/port, SNI, byte volume, inter-packet timing | Unauthorized lateral scanning of internal subnets or C2 beacon heartbeats |
| `security_file_open` | Sensitive path reads (`/etc/shadow`, TLS private keys, `.env`, KMS sockets) | Credential harvesting inside a compromised container |
| `cap_capable` / `commit_creds` | Kernel capability checks and UID transitions | Container escape or local privilege-escalation exploits |
3. Scoring process-lineage and socket graphs for lateral traversal
Unlike human interactive workstations, production microservices and containerised AI workers exhibit highly regular behavioural graphs. A PDF-parsing microservice should read from its designated input queue, execute its parser binary, and write structured JSON to a single output socket. It should never spawn a shell, query the cloud instance metadata IP (`169.254.169.254`), or open an SSH connection to an adjacent database host.
Our anomaly engine represents each container’s runtime behaviour as a temporal directed graph of `(Parent Process) -> (Child Process) -> (File / Socket Resource)` transitions. A compact sequence model trained on the deployment’s verified staging and baseline production traces scores incoming kernel events in real time:
- Deterministic hard blocks: Known forbidden transitions (such as an inference container invoking a shell binary or reading another service’s secret mount) trigger immediate kernel-level enforcement (`EPERM` via `BPF_LSM`).
- Statistical drift & volume anomalies: Unusual spikes in outbound byte volume, high-entropy DNS queries (indicative of DNS tunnelling), or anomalous cross-service query cadence raise the session’s threat score within milliseconds.
4. Automated namespace containment vs. alert fatigue
Sending an email alert at 3:00 a.m. while an attacker exfiltrates gigabytes of records is not defense; by the time an on-call engineer wakes up and logs into the VPN, the breach is over.
When a workload crosses our critical anomaly threshold, the containment controller executes a reversible, surgical quarantine in under `4.5 seconds`:
- The affected container’s network policy is switched to a quarantine profile that drops all egress and lateral east-west packets while keeping the forensic memory and disk state frozen for inspection.
- Any ephemeral capability tokens or session JWTs associated with that worker instance are added to the edge revocation list.
- A clean replacement container is spun up from an immutable signed image to serve legitimate traffic while the quarantined instance is inspected by the security lead on duty.
5. Operating high-signal security with compact engineering teams
By anchoring detection on tight per-service behavioural invariants rather than noisy generic signatures, our security monitoring achieves high detection accuracy without burying operators in false alarms. Read our Security Whitepaper for our complete incident-response commitments, or contact TICNES AI to audit your cloud infrastructure.