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Cyber Exposure & Intelligence

AI-assisted risk analysis, with people in charge

AI Risk Intelligence helps your team analyze exposure information and prioritize risk faster. Your people review the output and make every decision.

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Illustrative Cyber Exposure Intelligence dashboard with demo data showing an asset exposure list, exposure severity chart, threat correlation chart and brand risk alerts
Illustrative demo Sample data for illustration only, not live results. The exposure severity and correlation panels illustrate how AI-assisted analysis could present ranked items for human review.
The challenge

Risk information grows faster than teams can read it.

Exposure findings, threat information and digital risk signals arrive from many directions. Reading, correlating and ranking them by hand takes time that most teams do not have, so important items wait while minor ones are handled first.

Speed alone is not the answer. Risk decisions affect budgets, customers and operations, so teams need analysis they can inspect and challenge, not a verdict they must accept on faith.

Capability groupCyber Exposure & Intelligence
Delivered byValtrenix
What it supports

Capabilities at a glance

  • AI-assisted analysisHelps process and summarize large volumes of exposure and risk information so analysts begin with a clearer picture.
  • Prioritization supportProposes an order of attention across items, along with the reasons behind it, for an analyst to confirm or change.
  • Plain-language explanationsDescribes why an item may matter in terms an analyst or manager can read, check and question.
  • Cross-source correlationHelps relate findings from threat, attack surface and digital risk views so related items are seen together.
  • Reviewer controlsKeeps a person in the loop: recommendations can be accepted, edited or rejected, and the outcome is recorded.
  • Briefing draftsPrepares draft summaries for leadership that a person edits and approves before they are shared.
How it works

From first input to a reviewed decision

AI assists at the analysis step. People own scoping, review and every decision that follows.

  1. 01

    Scope and set rules

    Your team decides what is in scope and how risk should be judged. These choices guide the analysis and stay under human control.

  2. 02

    Analyze

    The AI-assisted analysis summarizes information, groups related items and proposes a priority order with its reasoning. Nothing is acted on at this stage.

  3. 03

    Review

    An analyst checks the proposals against what they know. They accept, change or reject each one and can ask for more detail.

  4. 04

    Decide

    A named person with the right authority decides what to do. Decisions and rationale are recorded.

  5. 05

    Improve

    Reviewer feedback helps your team refine scope and rules for the next cycle. Reports show what was proposed and what was decided.

Use cases

Where teams apply it

01

Triage at scale

An analyst facing a long list uses suggested groupings and ranking to start with the most relevant items. They still review before anything is escalated.

02

Explaining risk to non-specialists

Risk managers use plain-language explanations as a starting point for their own briefing notes. They check and edit the wording before it is shared.

03

Connecting related findings

A team sees that an exposed asset, a relevant threat and a brand issue point to the same problem. They investigate it as one case.

04

Preparing leadership updates

Analysts generate a draft summary of the period's risk picture, then correct and approve it. Leaders receive a document a person stands behind.

05

Second-opinion checks

Experienced reviewers compare the suggested ranking with their own judgment. Differences prompt a closer look.

Benefits

What it helps your team do

Faster starting point

Analysts begin with summaries and a proposed order instead of a blank page.

Reasoning you can inspect

Explanations make it possible to question and correct a recommendation.

Clear accountability

Named people decide, and their decisions are recorded.

Consistent review

A shared process helps teams apply the same standards across analysts.

Built on an exposure view

Analysis draws on the same exposure picture your team already reviews.

FAQs

Questions we are often asked

Does AI make the decisions?

No. The AI-assisted analysis proposes and explains. People review the output and make every decision, including what to escalate, fix or accept.

How accurate are the recommendations?

We do not state an accuracy figure. AI-assisted output can be wrong or incomplete, which is why every recommendation is reviewed and can be changed or rejected.

Can it predict future attacks?

No. It helps organize and prioritize current information. It does not forecast specific events.

What data does it use?

It works on risk and exposure information within the scope you agree with us. Details of sources and data handling are confirmed during scoping and in contract terms.

Can we turn off or limit the AI assistance?

Scope and rules are set with your team, and the review step is always part of the process. Specific configuration options are discussed during scoping.

How does it relate to AI-Powered Risk Management?

AI Risk Intelligence focuses on analyzing external exposure and threat information. AI-Powered Risk Management covers the wider enterprise risk process, from register to reporting. They can be used together.

Get in touch

Talk to us about AI Risk Intelligence.

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