SecurityBox — AI-Native Analyst

Conversations with conclusions,
not alerts.

SecurityBox is an AI-native cybersecurity analyst that watches your network, tests your defenses, and turns cyber risk into conclusions — what happened, the evidence, and what to do about it. In plain English.

Not another dashboard. Not another alert feed. An analyst.

See What You Get
Conclusions Evidence + Recommended Action
3 Planes Internal · External · Cloud
Plain English Ask. Challenge. Drill Down.
One Sensor Your Network or Ours. Same Brain.

Your Tools Sense.
They Don't Conclude.

The SOC drowns in alerts. The analyst is the bottleneck. Threats hide in the noise. Your stack tells you what happened — then leaves you to figure out what it means.

An analyst at a desk beneath an overwhelming wall of red and blue alert notifications

The Alert Problem

Thousands of alerts with no priorities. Every one is another thing to investigate — and the real threat is lost among them.

The Context Problem

Events correlated without meaning. You know something happened, but not what it means or what to do about it.

The Dashboard Problem

Dashboards show activity, not answers. You can see traffic patterns but still can't answer the question: are we safe?

The Staffing Problem

Tools that assume a 20-person SOC. The organizations that need security the most can afford it the least.

Conclusions, Not Alerts.

A conclusion is not one more thing to investigate. It arrives finished — with the evidence behind it and the action it calls for.

01

What Happened

A plain-English finding, not a rule match. The behavior, the hosts involved, and why it matters — already reasoned through.

02

The Evidence

Every conclusion carries its receipts: the traffic, the timeline, the anomalies that support it. Challenge it and it shows its work.

03

What To Do

A recommended action your team can take immediately. Not "investigate further." An actual next step.

Talk to Your Security. Bring Your Own AI.

SecurityBox delivers curated conclusions — an alert, a report, an observation — streamed to your AI over a live connection, the moment they're drawn. When a conclusion raises a question, your AI reasons over it and can reach back through our API for more. We call it BYOA — Bring Your Own AI: our conclusions, your AI, your walls.

Explain this SecurityBox observation to me in plain terms.
One of your workstations started quietly phoning home to a web address it has never contacted before, right after someone signed in from an unusual location. SecurityBox flagged it as likely command-and-control beaconing. In plain terms: this host may be compromised and worth isolating.
Can you get more detail on that host from SecurityBox?
Pulled it via the SecurityBox API: the beaconing runs on fixed 300-second intervals with identical payload sizes to a domain first seen 48 hours ago, and the same account authenticated from two countries within the hour. That pattern isn't an update check. Here's the timeline and the recommended containment step.

Two kinds of questions, one interface — your AI. Ask it to rephrase a conclusion in plainer terms, or ask it to go deeper, and it reaches back through SecurityBox's API for the data to get to the bottom of it. Your AI, your walls — sovereign, regulated, or air-gapped.

One Vantage Point.
Three Planes of Visibility.

A software sensor on your LAN — or hosted by us, same brain. From that one seat it watches, tests, and assesses. No re-architecture.

01

Internal — Watch

Passive visibility from a SPAN feed: east-west traffic between your hosts and north-south traffic to the internet. The network's behavior, observed continuously.

02

External — Test

Active testing of your perimeter from the inside out: continuous penetration testing and vulnerability assessment of public IPs, firewalls, VPN, and mail.

03

Cloud — Assess

Credentialed assessment of M365, Azure, and AWS as a tenant collaborator. Identity risk, configuration drift, and auth exposure — measured, not guessed.

Observe → Score → Judge → Conclude.

Between raw traffic and a finished conclusion sits a deliberately deep pipeline: enrichment, correlation, cohort clustering, cross-fleet checks, machine learning, and anomaly detection. The depth is the point — it delivers conclusions nothing else can reach.

A stream of grey noise events converging through an intelligent funnel into a small set of golden conclusions

Sovereign or regulated environment? The reasoning brain is a module — bring your own LLM and your data never leaves your walls.

Proven Expertise. Measurable Results.

"We went from not knowing what we didn't know to having a clear risk picture across every endpoint. The weekly summaries changed how our leadership thinks about security."
Director of IT Mid-Market Insurance
"The risk scores made the board conversation easy. For the first time, we could show measurable improvement quarter over quarter."
VP of Operations Financial Services

One Sensor. Your Stack. Your AI, and Ours.

Find out what an AI-native analyst concludes about your environment. We'll show you the conversation — and the conclusions — from your own network.

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