Modern SOC / MDR

How we use AI here

We use AI for triage and correlation at scale, and for automatic response on high-confidence patterns (known ransomware, signed malware, clear exfiltration attempts). In those cases the machine acts immediately to contain. When the case requires business context, a high-impact decision, or has ambiguity, a human analyst reviews, investigates, and decides. We don't delegate critical actions without human oversight.

The problem

Most SOCs drown their team in alerts. Noise buries the relevant signal and analysts burn out triaging events that go nowhere.

Our approach

We connect the relevant telemetry (identity, endpoints, and cloud) and apply intelligent correlation. The goal is that only what truly warrants a human decision reaches an analyst. We prioritize by real risk, not alert volume.

What we deliver

• Use cases prioritized by your environment's real risk
• Automatic response on high-confidence threats + human validation on complex cases
• Tested response runbooks adapted to your infrastructure
• Reports with root cause, impact, and clear action recommendation
• Notifications on the channels you use (email, Slack, Teams, Telegram, WhatsApp, or a call for critical incidents)
• Periodic coverage review, false-positive reduction, and metrics (MTTD/MTTR)
• Basic proactive threat hunting over your environment

Response process

1. 01AI automatically triages and correlates incoming signal.
2. 02On high-confidence threats, it acts immediately: containment, blocking, or isolation.
3. 03On cases that require judgment, an analyst investigates, validates, and executes or recommends.
4. 04We notify you through the agreed channels with clear context: what happened, what was done.
5. 05We document root cause and lessons learned to improve coverage.