Capabilities Rule AGI for SIEM
Capability · Detection engineering
Know which detection rules work, and fix the ones that do not.
A SIEM is only as good as its rules. Rule AGI looks at every detection rule in your SIEM, shows which ones catch real attacks, which ones only make noise and which ones never fire, and drafts the changes for your detection engineers to review.
Status: Preview Rule effectiveness reports and reviewed tuning proposals for Elastic run in preview, read-only; rule changes are only drafts for people to approve, and other SIEM platforms are on the roadmap.
The rule problem in most SOCs
Over time a SIEM collects hundreds or thousands of detection rules. Some were written for a threat that has passed, some for a log source that changed its format, and some fire so often that analysts stop reading them. At the same time, techniques attackers actually use may have no rule at all. Few teams have the time to review every rule against what it really catches.
Rule AGI does that review continuously. It reads your rule catalogue and the outcomes of the alerts each rule produced, and it reports in plain terms which rules earn their place, which need tuning, and where coverage is missing.
What Rule AGI does
Rule effectiveness
For every rule: how often it fires, how often its alerts turn out to matter, and whether it is noisy, silent or blind because its data is missing.
Coverage gaps
Which ATT&CK techniques your rules cover, which techniques appear in your data without a rule, and which rules are outdated compared with current reference rules.
Tuning proposals
Suggested exceptions and scope changes based on alerts your analysts settled as benign, checked so that no confirmed attack would have been missed.
Backtests before change
Proposed changes are replayed against your recent history, so you can see how many alerts would change before anything is touched.
Draft rules for review
New or upgraded rules are prepared in your SIEM’s own format, disabled and clearly tagged as proposals, for your engineers to review and enable.
Decisions on record
Every accepted or rejected proposal is recorded with who decided, so the next round of suggestions learns from your choices.
From rule catalogue to better detection
01
Read
Rule AGI reads the rule catalogue and alert history with read-only access.
02
Measure
Each rule is scored on what it actually caught, and the catalogue is checked for gaps and drift.
03
Propose
Tuning, upgrades and new rules are drafted with the evidence behind them.
04
Backtest
Each proposal is replayed on recent data to show its effect before it is used.
05
Decide
Your detection engineers accept or reject proposals; nothing is enabled in your SIEM without them.
SIEM platforms
| Platform | What is covered | Status |
|---|---|---|
| Elastic Security | Rule effectiveness, coverage, tuning proposals, backtests, draft rules | Preview |
| Palo Alto Cortex XSIAM | Rule reading prepared on the read-only connection; effectiveness reports and tuning proposals later | In development |
| Microsoft Sentinel | Same capabilities through the standard integration path, next after XSIAM | Roadmap |
Questions
How do you measure detection rule effectiveness?
By looking at what each rule’s alerts turned out to be: how many were real attacks, how many were benign, and whether the rule fires at all. Rules are then grouped into those that earn their place, those that need tuning and those that are silent or blind.
Will Rule AGI change rules in my SIEM?
No. It reads your rules and proposes changes. Drafts are delivered disabled and tagged as proposals, and your engineers decide whether to enable them.
Can tuning hide real attacks?
That is the main risk of tuning, so every proposal is checked against confirmed attacks in your history and backtested before you see it. A change that would have dropped a confirmed attack is not proposed.
Which SIEMs are supported?
Elastic Security today, in preview. For Palo Alto Cortex XSIAM, rule reading is prepared and tuning proposals come later. Microsoft Sentinel is on the roadmap.
See ApexAI on your own alerts.
A walkthrough with your team, in observe mode first: ApexAI scores and proposes, nothing acts on its own.