208 Sigma Rules on eBPF: Bridging Community Detection to Kernel Telemetry
How we imported 208 community detection rules and adapted them for real-time kernel monitoring. Rewrites, false positive fixes, and practical results.
48 articles on Linux server security, AI agent protection, and threat intelligence. Real data from production servers.
How we imported 208 community detection rules and adapted them for real-time kernel monitoring. Rewrites, false positive fixes, and practical results.
130 Telegram alerts overnight. 62% were false positives. How we fixed each one by understanding what normal looks like, not by tuning thresholds. Six real examples with code.
5 rounds of adversary emulation with Caldera v5.3.0. From 36% detection to 67% of testable techniques. The argv truncation fix, 15+ false positive cleanups, and why mapped is not detected.
Why we abandoned our previous AI model and built a tiny, fast anomaly detector in Rust. It learns what normal looks like on your server and catches anything unusual.
Using CPU timing analysis to find hidden rootkits without any kernel module. Based on published security research with 98.7% accuracy.
How Inner Warden protects AI agents in production with 71 threat rules, real-time notifications, and three defense layers. What happens when an agent tries rm -rf /.
Deep dive on JA3/JA4 TLS fingerprinting in pure Rust with AF_PACKET. 10 known malicious hashes, GREASE filtering, and how to add custom fingerprints.
23 rules correlating events across Ring -2 firmware, Ring 0 kernel, userspace, network, and honeypot layers. How to detect multi-stage attacks that no single product can see.
How behavioral DNA identifies campaigns across IPs using SHA-256 hashing of attack patterns and union-find clustering. 47 IPs, 8 countries, one botnet.
7 days of training, then anomaly detection without rules. Process lineage anomalies, silence detection, login time deviations, and unknown network destinations.
How to detect remote access attacks by tracking system behavior instead of pattern matching. Impossible to evade via obfuscation.
All 23 cross-layer correlation rules. Firmware chains, network chains, execution chains, post-compromise patterns. Each with attack scenario and time window.
From the deepest hardware layer to user applications, in one Rust binary. 38 monitors, 48 detectors, 23 correlation rules, behavior learning, mesh network. The full picture.
Step-by-step walkthrough of a real attack: prompt injection, tool poisoning, credential theft. How agent-guard detects each step and the honeypot captures everything.
What Inner Warden sees that nobody else does: deep hardware monitoring, firmware threats, and hidden attacks. A factual gap analysis.
Auto-generated monthly reports with executive summary, MITRE heatmap, campaign detection, geographic distribution. Replace $100K/year consulting reports.
Step-by-step tutorial: integrate InnerWarden with any AI agent in 10 minutes. check-command API, security-context, Python and TypeScript code examples.
From 7 monitors to 22. Container escapes, hidden malware, and rootkits: three real attack scenarios detected deep in the system, with smart noise filtering.
Secure Boot, TPM, ESP hashing, UEFI variable tracking, ACPI table scanning, and boot timing anomalies. Six checks that catch BlackLotus, LoJax, and MosaicRegressor before the OS loads.
Rate limiting at millions of packets per second, automatic escalation, and Cloudflare failover when your server needs backup.
How six programs running deep inside Linux detect privilege escalation, block malware, and drop malicious packets instantly.
Ed25519 signed signals, tit-for-tat trust evolution, staging pools with TTL auto-reversal. How Inner Warden nodes share threat intelligence without letting anyone abuse the network.
SSH, firewall, kernel parameters, file permissions, updates, Docker, and services. A complete hardening guide with copy-paste commands and a security score.
Real data from a live production server: where attacks come from, what attackers want, and why fail2ban isn't enough anymore.
From kernel events to a world map in the browser: SSE endpoints, server-side GeoIP proxy, react-simple-maps, and the engineering behind innerwarden.com/live.
Why regex fails for obfuscated commands like hex-encoded payloads, base64 pipelines, and Python reverse shells. How tree-sitter AST analysis detects them structurally.
Fake /proc/cpuinfo, /proc/self/cgroup, 25+ shell commands, and LLM fallback. How our honeypot passes the checks advanced attackers use to detect traps.
Tutorial: scrape Inner Warden's /metrics endpoint with Prometheus and build a Grafana dashboard with events, incidents, AI latency, and execution panels.
Most tools alert on failed SSH logins. Almost none alert when a brute-forced IP then logs in successfully. That's a compromise, not just an alert.
The story of how glibc malloc fragmentation caused our Rust daemon to grow to 1.3GB under bot traffic, and how jemalloc fixed it with 3 lines of code.
Complete reference: SUID manipulation, SSH key injection, cron persistence, log tampering, and 7 more privilege abuse categories with MITRE ATT&CK IDs.
Attackers disguise as Googlebot to bypass security. Inner Warden verifies bot identity via reverse DNS. Real Google gets through, fakes get caught.
How Inner Warden protects OpenClaw agents from executing dangerous commands, and how OpenClaw keeps Inner Warden healthy in return.
Connect Suricata IDS alerts to automatic firewall blocking. Inner Warden promotes IDS alerts to incidents, AI decides, firewall blocks. The complete alert-to-block pipeline.
Monitor Docker containers for OOM kills, rapid restarts, and escape attempts. Automatically pause compromised containers with a TTL-based recovery.
AI agents run commands on your server. Inner Warden's check-command API validates commands before execution, scoring risk and blocking dangerous operations.
Understand the difference between credential stuffing and brute-force attacks. Learn how to detect many-username attacks from a single IP and block them automatically.
Set up real-time Telegram notifications for server security events. Bot commands, inline approve/deny buttons, and AI-powered conversations about your server's status.
A real 24-hour narrative of attacks against a public VPS: SSH brute-force, web scanners, credential stuffing, and honeypot captures. All blocked automatically.
Inner Warden's AI isolation model: the model reads data and returns JSON recommendations, Rust validates and executes. The model never sees a shell.
A practical overview of the best open source security tools for Linux servers in 2026: Falco, Suricata, osquery, fail2ban, and Inner Warden. How they work together in a unified stack.
Learn what port scanning is, why attackers do it, how to detect it with sliding-window analysis, and how to automatically block scanners at the firewall.
Detect automated web vulnerability scanners like Nikto, sqlmap, and Nuclei using user-agent signatures and HTTP error flood analysis. Auto-block and rate-limit via nginx.
Detect sudo abuse patterns like burst privileged commands and lateral movement. Automatically suspend sudo access with a TTL and get Telegram alerts.
Learn how to check if your server is under attack right now, why fail2ban alone is not enough, and how to set up automated detection and blocking with AI-powered confidence scoring.
Set up an LLM-powered SSH honeypot that responds to attackers naturally, captures credentials and commands, and auto-blocks after the session ends.
Automatically report blocked IPs to AbuseIPDB and push firewall rules to Cloudflare WAF. Detect, block, report, and protect other servers from the same attacker.
A fair comparison of fail2ban and Inner Warden. Both block IPs from SSH brute-force, but Inner Warden adds stateful detection, AI triage, dashboards, Telegram alerts, honeypots, and threat intelligence sharing.