Manage Security Operations with AI

Security operations teams face thousands of alerts a week — most of it noise, some of it signal, and no reliable way to tell which is which before the coffee gets cold. Log sources that disagree, firewall rules nobody remembers writing, EDR telemetry without a story, hardening baselines that drifted six months ago. Whether you run Elastic, Splunk, Sentinel, or Wazuh; SentinelOne, Defender, or CrowdStrike; Fortinet, Palo Alto, or pfSense — VibeComputing handles the full spectrum of security operations: alert triage, incident investigation, rule audits, CIS benchmark hardening, and response preparation. Stop pasting alert JSON into search engines. Just describe the problem.

The agent connects in seconds and immediately maps the landscape — alert volume and sources, top signal patterns, exposed services, firewall rule sprawl, patch state, and benchmark drift. "Which of last night's four thousand alerts actually matter?" "Walk me through this auth-failure chain as a story." "Show me firewall rules wider than they need to be." "Are these hosts CIS-hardened, and what's the gap?" The AI correlates scattered events into intrusion chains, separates the false positives from the false sense of security, and proposes exact remediation before it touches anything.

For security and platform teams, VibeComputing fits existing workflows without ceremony. The zero-trust outbound-only agent model works inside locked-down networks — no VPN changes, no SOC tools exposed to the internet. Read-only by default; every containment, block, or rule change is shown as the exact command before it runs, and sensitive identifiers are obfuscated before they ever reach a model. Humans approve every disruptive action. Combined with LLM data obfuscation for compliance-heavy environments and BYOK for strict control over your AI provider, it's the most secure way to manage security with AI.