When an attacker breaks in, the longer they stay hidden the worse it gets — and most break-ins happen overnight. We watch your systems around the clock, catch the unusual stuff fast, and stop it before it spreads.
Your team goes home at six. The attackers don't. Here's the kind of activity we routinely catch overnight — the kind that's already done damage by Monday morning if no one's looking.
Attackers run the file-encrypting program at 2 a.m. on Saturdays. By Monday standup, every file is locked. We see it start, isolate the machine, and stop the spread.
Someone clicks a phishing email at 5 p.m. By 11 p.m. the attacker is signed in from a country you don't operate in. We notice the unusual location instantly.
Attackers spam someone's phone with login approvals hoping they'll tap 'yes' just to make it stop. We see the wave of prompts and lock the account before it works.
A successful login from Russia or North Korea for a firm that only operates in Ontario. A simple check, but it has to run every minute — not every morning.
We use AI to triage, not to decide. A human L1 verifies every escalation before action; L2 owns containment. Speed comes from removing the queue, not removing the humans.
Endpoint, identity, network, cloud, email, and SaaS logs stream into Microsoft Sentinel as the primary SIEM, with secondary forwarding to your archive.
Detection rules and behavioral models bucket every event into noise, watchlist, or escalate. ~98% of raw alerts close at this layer.
Every escalation is read by a named analyst within five minutes. False positives are documented to tune the rule for next time.
Isolate the endpoint, revoke the session, freeze the account, snapshot for forensics. We do this before the client call.
Phone (not email) within fifteen minutes for a confirmed incident. Written post-mortem with control updates within five business days.
We meet your stack where it is. The most common 2026 deployments share these names.
From the moment something unusual happens to the moment we see it.
For confirmed serious incidents — from spotting to contained.
Most alerts are nothing. Software handles the easy 97%. Humans only look at the 3% that might matter.
Of the alerts that reach a real person, fewer than 4 in 100 turn out to be nothing.
These are not aspirational targets. This is the runbook every analyst on the floor can recite from memory.
Yes. We monitor and respond; your internal team owns identity, systems, and business context. We're additive, not a replacement — most clients keep their MSP or internal IT for help-desk and run us as the security layer above.
We spot most problems within fifteen minutes. For a confirmed serious incident, you get a phone call from us before that fifteen-minute mark.
We don't call you for noise. ~97% of raw alerts close at AI/SIEM triage; of what reaches a human analyst, escalation false-positive rate is under 4%. You hear from us when it matters.
Yes — AWS, Azure, M365, Google Workspace, Salesforce, GitHub. Cloud telemetry is now where most material incidents start; endpoint-only SOCs are an artifact of 2018.
Often. We do a parallel run for 30 days so you can compare detection quality, response time, and the quality of the post-mortems. If we're not visibly better, you cancel without penalty.
We'll map your current detection coverage against your real attack surface and tell you where you're blind — whether or not you end up working with us.