Eight capabilities. One shared context.
Each capability answers a different question, but all of them read the same unified model — which is what keeps their answers consistent with one another.
Unified Asset Intelligence
A consolidated view of assets, their attributes and their relationships, so findings are always tied to something real.
- Consolidated asset inventory
- Asset attributes and ownership context
- Relationships between assets and findings
Vulnerability Consolidation
Vulnerability data brought together and normalized so the same issue is not counted many different ways.
- Normalized vulnerability records
- Deduplicated findings
- Consistent identifiers
Threat Intelligence Correlation
Vulnerabilities related to threat intelligence context, so activity in the wider landscape informs local decisions.
- Threat context on findings
- Corroboration across sources
- Landscape-aware signals
Security Signal Analysis
Security telemetry and signals reviewed alongside vulnerability data rather than in a separate console.
- Signals in one workspace
- Corroborated observations
- Signal-to-finding linkage
Contextual Risk Scoring
Risk expressed using vulnerability, threat, asset, exposure and business context together instead of severity alone.
- Multi-factor scoring
- Transparent contributing factors
- Organization-specific outcomes
Attack Path Intelligence
Relationships between systems and vulnerabilities represented as paths, showing how progression could occur.
- Graph-based relationships
- Path visibility
- Chokepoint awareness
AI-Assisted Assessment
AI-generated explanations and recommendations that make complex findings readable and reviewable.
- Narrative explanations
- Suggested next steps
- Human-in-the-loop by design
Remediation Workflow
Structured workflows that carry prioritized findings from decision to completion with visible status.
- Ownership and assignment
- Status tracking
- Progress visibility
What each capability contributes
A closer look at the role each capability plays inside the connected intelligence lifecycle.
Unified Asset Intelligence
A consolidated view of assets, their attributes and their relationships, so findings are always tied to something real.
- Consolidated asset inventory
- Asset attributes and ownership context
- Relationships between assets and findings
Vulnerability Consolidation
Vulnerability data brought together and normalized so the same issue is not counted many different ways.
- Normalized vulnerability records
- Deduplicated findings
- Consistent identifiers
Threat Intelligence Correlation
Vulnerabilities related to threat intelligence context, so activity in the wider landscape informs local decisions.
- Threat context on findings
- Corroboration across sources
- Landscape-aware signals
Security Signal Analysis
Security telemetry and signals reviewed alongside vulnerability data rather than in a separate console.
- Signals in one workspace
- Corroborated observations
- Signal-to-finding linkage
Contextual Risk Scoring
Risk expressed using vulnerability, threat, asset, exposure and business context together instead of severity alone.
- Multi-factor scoring
- Transparent contributing factors
- Organization-specific outcomes
Attack Path Intelligence
Relationships between systems and vulnerabilities represented as paths, showing how progression could occur.
- Graph-based relationships
- Path visibility
- Chokepoint awareness
AI-Assisted Assessment
AI-generated explanations and recommendations that make complex findings readable and reviewable.
- Narrative explanations
- Suggested next steps
- Human-in-the-loop by design
Remediation Workflow
Structured workflows that carry prioritized findings from decision to completion with visible status.
- Ownership and assignment
- Status tracking
- Progress visibility
Scores you can defend in a review
Every score exposes the factors behind it, so a prioritization decision can be explained to an engineer, an auditor or an executive with the same evidence.
How the capabilities run as one sequence
From ingestion through reassessment, each step hands its context to the next.
- 01
Ingest
Asset, vulnerability and security data is brought into the platform.
- 02
Normalize
Records are standardized so they can be compared and combined.
- 03
Deduplicate
Repeated findings are consolidated into single, coherent records.
- 04
Correlate
Findings are related to assets, threat intelligence and signals.
- 05
Contextualize
Criticality, exposure and business context are layered on.
- 06
Score
Contextual risk is calculated from multiple contributing factors.
- 07
Map Paths
Relationships are represented as potential attack paths.
- 08
Assess
AI produces explanations and recommendations for review.
- 09
Remediate
Prioritized work moves into structured remediation workflows.
- 10
Reassess
Posture is re-evaluated as conditions and intelligence change.
Decisions that survive the handoff
Prioritized findings carry their context into the workflow, so the team doing the work sees the same reasoning that put it at the top of the queue.
Posture, communicated
Reporting views summarize the same unified model that analysts work in, keeping leadership conversations grounded in the operational reality.
See these capabilities against your own environment
Request a walkthrough of AegisVMP and see how unified intelligence changes what your team works on first.