What is a digital twin in cybersecurity?

A continuously updated virtual model of your IT environment — systems, users, access, data flows, and dependencies — built from live telemetry. It stays in sync with reality so you can simulate attacks, measure blast radius, and quantify risk against your actual environment rather than a static diagram.

What is cyber risk quantification?

Cyber risk quantification expresses security risk in financial terms instead of qualitative ratings. Onek uses Value at Risk (VaR) and Monte Carlo loss modeling to produce a dollar-denominated loss distribution, so leaders can compare risks, justify investment, and report to the board in business language.

What is Value at Risk (VaR) in cybersecurity?

Value at Risk estimates the potential financial loss from cyber events over a period at a given confidence level. Onek rolls per-asset revenue, cost, and customer exposure into a portfolio VaR and models tail risk (CVaR) so you see both expected and worst-case losses.

How does cyber attack simulation work?

Onek runs probabilistic simulations using agent-based modeling, discrete-event simulation, and Monte Carlo methods, with attacker and defender agents. Instead of a single guess, it produces outcome distributions, surfacing single points of failure, blast radius, weak points, and an overall resilience score.

How is Onek different from a SIEM?

A SIEM collects and correlates logs to detect events after they occur. Onek maintains a live, simulatable model of your environment, so you can test attacks before they happen, quantify business impact in dollars, and prioritize remediation — complementing detection rather than replacing it.

Can Onek help with NIST 800-171 and CMMC compliance?

Yes. Onek includes a NIST 800-171 control catalog (110 controls across 14 families) with evidence-backed self-assessment and CMMC preparedness gap analysis, mapping your live environment to control status and generating POA&M candidates.

What is automated remediation?

Automated remediation closes the loop from finding to fix. Onek generates risk-scored remediation previews, routes them through approvals, and executes via runbooks or infrastructure-as-code within policy guardrails — so fixes are fast but controlled, not unsupervised.

Does Onek use my data to train AI models?

No. Onek is bring-your-own-AI: you connect your own model provider and key, which is encrypted and used server-side. Privacy-preserving analysis runs on the server, so raw sensitive data is not exposed to the client.

How is Onek deployed?

Onek ships as a containerized stack (Docker / Compose) with a documented go-live runbook, so it can run in your own infrastructure. You bring your own AI provider and keys, keeping models and data under your control.

Security leaders (CISOs), IT and infrastructure teams, and executives or boards. Each gets a tailored view: defensible dollar risk and remediation plans, a live operational map, and business-language risk reporting respectively.

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Monte Carlo simulation

Monte Carlo simulation is a technique for modeling uncertainty by running a scenario many thousands of times with randomized inputs and assembling the results into a distribution of outcomes. Rather than returning a single estimate, it shows the full range of what could happen and how likely each result is.

In cyber risk, Monte Carlo methods turn uncertain inputs — the likelihood and cost of events — into a loss distribution. From that distribution analysts read percentile losses (for example p5 to p99), conditional value at risk (CVaR), and exceedance curves showing the probability of exceeding a given dollar threshold.

Related terms

Value at Risk (VaR)
Cyber Value at Risk (Cyber VaR)

Go deeper

Cyber risk quantification
Attack simulation

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