Threat Intelligence
AREAAgile Risk Enumeration Algorithm
Deterministic ranking. AI that explains it.
AREA scores, tiers and schedules your vulnerability findings from exploitation evidence, not severity alone. The math decides the order. A local model writes the why.
A CVSS score describes a vulnerability in isolation. It cannot tell you whether anyone is using it, who, or against whom. AREA can, and it shows its work.
Deterministic
Same inputs, same order, every run. No model in the loop where the ranking is decided.
Auditable
Every score traces back to the evidence that produced it, and every run leaves a log.
Repeatable
Consistent results across environments and across time, so a change in the list means a change in the world.
AI explains
A local model reads the finished ranking and writes the narrative. It never moves a finding.
The pipeline
From raw threat intelligence to a sprint ready plan
Seven stages. The first six are deterministic code. Only the last one involves a language model, and by then every decision has already been made.
STAGE 01
ENRICH
Enrich Security Context
Security findings are enhanced with relevant threat and security intelligence to provide a broader understanding of organizational exposure and potential impact.
Contextualized Findings
STAGE 02
UNDERSTAND
Understand Risk Context
Machine learning transforms complex security signals into meaningful risk intelligence, providing a clearer understanding of risk across the vulnerability landscape.
Risk Intelligence
STAGE 03
ANALYZE
Analyze Risk Patterns
Advanced analytics surface meaningful patterns and relationships, helping distinguish significant risk from routine security noise.
Risk Insights
STAGE 04
ORGANIZE
Organize Threat Profiles
Related risks are organized into actionable threat profiles, revealing concentrations of exposure and common remediation needs.
Threat Profiles
STAGE 05
PRIORITIZE
Prioritize What Matters
Machine learning driven intelligence focuses attention and resources on the vulnerabilities and exposures that present the greatest organizational risk.
Prioritized Action Plan
STAGE 06
INFORM
Inform Decisions
Risk drivers, threat context and affected technologies are synthesized into concise, decision ready intelligence for executives and security teams.
Decision Intelligence
STAGE 07
ACT
AI Assisted Remediation Guidance
AI assisted guidance translates prioritized risk intelligence into actionable recommendations. Teams see where to act first, why it matters, and the recommended course of action.
AI Assisted Remediation Guidance
AI assistedTiers by percentile, sprints by wave
Tiers are cut by percentile of the composite score, so the top of the list is always the top of the list regardless of how many findings you have. Urgent and Elevated findings are then planned into sprint waves ordered by score and cluster, so the next wave of work is always defined.
Service waves
Wave 1
First
Urgent plus the first Elevated batch
Wave 2
Next
Urgent plus the next Elevated batch
Wave n
Until the tiers are worked through
Backlog waits, and is still ranked
What goes in
-
Your findings
Open vulnerabilities from the scanners you already run, scoped per system
-
ATIP enrichment
Actors, malware, ransomware, exploits, industries and ATT&CK for each CVE
-
Exploit probability (EPSS)
EPSS is the Exploit Prediction Scoring System, a public daily estimate of how likely a CVE is to be exploited in the next 30 days. Joined per CVE from the daily snapshot.
What comes out
-
Priority table
Tier, rank, sprint, score and threat profile for every finding
-
Threat profile sheets
The evidence behind each threat profile, one sheet per profile
-
Remediation guidance
Executive and technical briefing, written by the model from the table
-
Data quality report
Every inconsistency the cross check found, for transparency and audit
-
Run log
Timestamps and counts, end to end, for every run
Inside AlloyGRC the result appears as the AREA Risk Level on every finding, and it is what the Vulnerabilities page and the Sprint Dashboard are ordered by.
Why it matters
The same findings, two orders
Exploitation first
The exploited finding moves to the top and the untouched one waits. Nothing about the underlying vulnerability data changes. What changes is whether the order reflects evidence.
See your findings in the order the evidence puts them.
Ask for a demo and watch a synthetic scan go through the pipeline: ranked, tiered, planned into sprints and explained.