Unified Cybersecurity Threat Intelligence Platform

Beyond Vulnerabilities

Context tells you how dangerous a vulnerability is to your organization.

AegisVMP discovers your assets, works out which known vulnerabilities really apply to them, and ranks them by danger using threat intelligence, exposure, attack paths, and endpoint telemetry.

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NVD · CISA KEV · EPSS
Asset discovery
Endpoint telemetry
Exposure
Attack paths
AI

AegisVMP console home showing the Threat-Aware Risk Posture: risk, exposure and corroborated alerts — My Organization TARP — the console home page

The problem

Security teams are not short on data. They are short on meaning.

Vulnerability lists grow every week. Severity ratings describe the flaw, not the organization. The context that would make prioritization obvious is scattered across tools that never meet.

Fragmented security data

Assets, vulnerabilities, signals and threat intelligence live in separate tools that rarely agree.

Volume without meaning

Long vulnerability lists grow faster than teams can act, and counts do not describe danger.

Severity is not risk

A high severity score says nothing about whether a specific asset is exposed or reachable.

Missing context

Without asset criticality, exposure and business context, prioritization becomes guesswork.

Unseen relationships

Lists rarely show which vulnerable systems an attacker can actually reach from the internet.

Disconnected remediation

Decisions made in one system are executed in another, so progress is hard to see and verify.

Connected intelligence lifecycle

Discover → Reassess

Seven connected stages, not seven disconnected tools. Each stage carries its context forward, and the loop closes so posture keeps up with a changing environment.

Loops back to Discover

Stage 01

Discover

Find assets with collectors, agents and connectors, and record their software.

Consolidate what exists across the environment so every later decision starts from a shared, complete picture.

Correlatenext in the lifecycle

Platform overview

Many sources in. One coherent picture out.

AegisVMP discovers assets, matches their software against NVD, CISA KEV and EPSS, adds exposure and endpoint telemetry, then turns that model into prioritized, explainable outcomes.

Sources

Collectors, agents & connectors
NVD vulnerability catalogue
Endpoint telemetry
CISA KEV · EPSS · threat brief

AegisVMP Intelligence Core

Software-to-CVE matching
Exposure calculation
Contextualization
Contextual risk scoring

One data model shared across every view

Outcomes

Prioritized findings
Attack path intelligence
AI assessment
Remediation workflow

See the full platform architecture

Core capabilities

Eight capabilities that work as one system

Each capability is useful alone. Together they compound, because every one of them reads and writes the same unified context.

Unified Asset Intelligence

Agentless network discovery and lightweight endpoint agents build one inventory, enriched with owner, criticality and business context.

Agentless subnet discovery
Agent-based tracking for roaming devices
Business context on every asset

Evidence-Based Vulnerability Consolidation

Findings are derived by matching each asset's installed software exactly against NVD, with unconfirmed version ranges flagged rather than guessed.

Exact software-to-CVE matching
Unconfirmed versions shown explicitly
No duplicate findings

Threat Intelligence Correlation

A daily AI-researched threat brief, CISA KEV status and FIRST EPSS scores are correlated with the vulnerabilities on your own assets.

Daily Threat Brief
CISA KEV status
EPSS exploit probability

Security Signal Analysis

Endpoint telemetry is evaluated by detection rules mapped to MITRE ATT&CK, and linked to the open vulnerabilities on the same machine.

Windows event monitoring
ATT&CK-mapped detection rules
Corroborated findings flagged

Contextual Risk Scoring

A weighted scoring engine combines six factors. Observed exploitation (CISA KEV) sets a floor that forces a finding into the Critical tier.

Six weighted, tunable factors
KEV exploitation floor
Every factor visible

Attack Path Intelligence

Scored entry routes from the internet to exposed assets and the vulnerabilities on them, mapped to ATT&CK tactics and kill chains.

Internet-to-asset entry routes
Path scores
ATT&CK and kill-chain mapping

Remediation SLA Policy

Evidence-based deadlines per risk band, with assignment, verification of the fix and tracked exceptions.

Deadlines per risk band
Assignment and verification
Exception tracking

Executive Reporting

Durable PDF and CSV reports, previewed before generation and carrying TLP 2.0 sharing markings.

PDF and CSV reports
Preview before generating
TLP 2.0 markings

Explore capabilities in depth

Today's threats

A daily threat brief, matched to your own assets

Every day AegisVMP's AI researches the current threat landscape and correlates it against your organization's assets and open CVEs, so you see which headlines actually touch you.

AegisVMP Cyberthreat TIP page showing the daily threat brief correlated with the organization's CVEs — Cyberthreat TIP — the Daily Threat Brief

AegisVMP My Organization TARP page with average risk, average exposure and corroborated alerts — Threat-Aware Risk Posture (TARP)

Posture overview

Threat-Aware Risk Posture, on one screen

TARP leads with average risk, average exposure and corroborated alerts, broken down by band and correlated against live CISA KEV and FIRST EPSS data — not with a raw count of open findings.

Corroborated signals

Confidence comes from agreement

When endpoint telemetry agrees with a vulnerability on the same asset, the finding is flagged Corroborated for analyst action.

Vulnerability dataThe finding exists on a known asset.

Threat intelligenceCISA KEV, EPSS and the daily threat brief.

Endpoint telemetryA detection rule fired on the same machine.

Corroborated signal

When telemetry agrees with a vulnerability, the finding is flagged.

When endpoint telemetry agrees with an open vulnerability on the same asset, AegisVMP flags the finding as Corroborated so an analyst can act on it. The flag does not change the priority score by itself.

Independent sources agree
Flagged Corroborated for analyst action
The reasoning stays attached to the finding

Contextual risk vs. exposure

Context tells you how dangerous a vulnerability is to your organization

Severity is a property of the vulnerability. Danger is a property of your environment. AegisVMP scores the second one.

Severity alone

One number, no context

A severity rating describes the vulnerability. It does not describe your organization.

Finding AHigh
Finding BHigh
Finding CHigh

Three findings look identical, so the queue offers no guidance.

Contextual risk

Severity plus organization context

EPSS, CISA KEV, reachability, asset criticality and business impact separate the same three findings.

Finding ACritical
Finding BModerate
Finding CLow

Context tells you how dangerous a vulnerability is to your organization.

Exposure

A calculated score, not a label

is a score from 0 to 100 that AegisVMP works out for every asset from three inputs. It feeds into contextual risk alongside threat intelligence and business context.

Internet reachability
Can the asset be reached from the internet, directly or through a published service?
raises exposure
Exposed services
Which ports and services are open, and how risky each one is.
raises exposure
Compensating controls
Firewalls, segmentation and other controls that reduce what can be reached.
lowers exposure

Attack path intelligence

From the internet to the vulnerable asset

AegisVMP maps the routes from the internet to exposed assets and the vulnerabilities on them, scores each route and maps it to ATT&CK tactics.

Internet Exposed asset Vulnerability on the assetEach route is scored and mapped to ATT&CK tactics

AI-assisted assessment

Explanations your whole organization can read

AI turns layered technical context into a narrative: what the finding is, why it ranks where it does, and what could reduce the risk. Every output is written for human review.

AI AssessmentHuman review required

Why is this finding ranked above the other criticals?

The affected asset is internet reachable and carries high business criticality. The vulnerability is listed in CISA KEV, and the finding is flagged Corroborated by endpoint telemetry. Together these factors raise contextual risk above findings with the same technical severity.

What would reduce the risk fastest?

Reducing exposure on the affected service lowers reachability, which is the largest contributing factor here. Applying the vendor remediation removes the underlying vulnerability. Both actions are suggestions for review, not automatic changes.

Illustrative example. AI output supports analyst judgement; it does not replace it.

Remediation workflow

Prioritization only matters if the work moves

Prioritized findings flow into structured workflows with ownership, status and visible progress, so the decision made in the platform is the work that actually gets done.

Executive reporting

One story, told at every altitude

Because analysts and leadership read the same underlying model, executive views summarize the same context that drives day-to-day remediation decisions.

AegisVMP executive reporting view summarizing organizational security posture — Executive reporting

Integrations

Built to sit on top of what you already run

AegisVMP is designed to consume data from the categories of systems that already exist in a security program, and to hand prioritized work back to the places where it gets executed.

Public vulnerability catalogues

NIST NVD, CISA KEV and FIRST EPSS, synchronized automatically.

Identity and cloud

Microsoft Entra ID devices and Azure virtual machines.

Asset discovery

Tenable.io asset discovery, CSV and CycloneDX imports.

Collectors and agents

AegisVMP Site Collectors and Endpoint Agents.

Ticketing

Jira, ServiceNow and GitHub Issues for remediation tasks.

Notifications

Slack and custom webhooks.

Named integrations available in AegisVMP 1.8.0.

Enterprise governance

Structured for how large organizations actually operate

Access, separation, auditability and a consistent data model are part of the platform's design rather than additions on top of it.

Role-based access

Granular permissions grouped into roles, so people see what their job requires.

Tenant isolation

Each organization's data is separated in the database with row-level security.

Immutable audit log

Sign-ins, privilege changes and report downloads are recorded and cannot be edited.

Operator Console

A separate realm for provisioning organizations, with no view of customer data.

See context in action

Request a walkthrough of AegisVMP and see how unified intelligence changes what your team works on first.

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