SIE for Security software teams
Threat reports describe behaviour in prose. Analysts need the right ATT&CK technique.
SIE gives teams building security software one API to extract behaviors, search current ATT&CK definitions, rank close techniques and return the exact source sentence with each suggestion.
Self-host SIE in your infrastructure, or ask about managed deployment through SIE Cloud.
Narrative behaviour, current ATT&CK definitions and historical examples
The source says the actor used a stolen cookie. The agent separates use from theft.
The operational problem
The model call is only one part of the job.
Threat intelligence is written for people. ATT&CK is structured and changes over time. Mapping the two requires context, source evidence and a willingness to abstain.
01
The behaviour hides inside narrative prose
Reports mix observed actions with malware detail, background and analyst interpretation.
02
Close techniques differ by intent
Stealing a cookie and using it are separate behaviours with different mappings.
03
The framework keeps changing
Historical labels and current definitions can point in different directions.
04
Analysts need the source sentence
A bare technique ID creates more review work and makes mistakes harder to catch.
How SIE helps
Map behaviour to ATT&CK with the evidence attached
SIE runs extraction, search, reranking and verification through one inference engine. Your security product sets thresholds and review policy.
Technique ID, name, confidence, source sentence and the competing mapping considered.
Where it fits
Use SIE inside the product your team is already building.
CTI mapping
Turn narrative reports into analyst-ready ATT&CK suggestions.
Detection planning
Group source-backed behaviours for detection engineers.
Report triage
Extract the portions of long reports that deserve analyst attention.
Knowledge maintenance
Recheck old mappings against current framework definitions.
Representative task benchmark · Rerank
Price, quality and speed for ATT&CK candidate ranking
One measured model job from this workflow. These figures come from SIE task evaluations, not from the industry example on this page.
499 Federal Register questions with 20 candidates each, under two relevance rules. A question is right when the requested document ranks first under both rules.
Recorded example
Current ATT&CK separates using the cookie from stealing it
The recorded example maps a public Proofpoint report. The crucial sentence says the attacker used the stolen session cookie to log in as the victim.
The exact behaviour sentence is extracted from the wider threat narrative.
One covers stealing web-session cookies. The other covers using them.
The source sentence and competing technique remain attached to the result.
Deployment
Run SIE where your data can go.
The workflow uses the same SIE API whether you choose managed infrastructure or run it under your control.
Use SIE Cloud
Let the SIE team operate model serving, scaling and updates. Talk to us about availability and the right setup for your workload.
Get startedRun SIE in your infrastructure
Keep models and data inside your environment. Your team controls hardware, networking, access and deployment policy.
View the deployment guide