Your detection stack, continuously optimized.
7AI connects every detection source you run, maps your coverage to the techniques attackers actually use, finds the rules drowning your team in false positives, and routes each detection to the right outcome. With humans on the loop.
The problem with detection
A louder detection stack is not a safer one.
Every tool you add produces more alerts, more overlap, and more noise, and real threats hide inside it. Most teams have no single view of what their detections are catching, where coverage is thin, or which rules are generating false positives. 7AI gives you that view, and keeps it sharp.
Inside Detect
What 7AI does across your detection stack, shown the way the platform shows it.
01 / Detection Intelligence
Every alert, every source, one view.
Connect the detection tools you already run across identity, endpoint, cloud, email, and SIEM, and see your entire alert inventory in one place. 7AI shows what each source is producing and how much of it has been investigated to a conclusion.
- Every source connected and normalized into one inventory.
- Investigation coverage shown for each source.
- Nothing sits unseen in a queue.
02 / Detection Coverage
See what you are not catching.
7AI maps your detections to the MITRE ATT&CK techniques attackers actually use, so coverage gaps stop being invisible. Drill into any tactic to see which techniques have no coverage, which are an acceptable risk, and which are handled by an alternative control.
- Coverage scored against known attacker techniques.
- Gaps surfaced tactic by tactic.
- Prioritize what matters for your environment.
Command & Control
03 / Detection Rules
Every rule, and what it is really doing.
All of your detection rules in one inventory, with the techniques they map to, how often they fire, and how many investigations they drive. The rules that earn their place become obvious, and so do the ones that do not.
- One inventory across every connected source.
- Detections and investigations measured per rule.
- Built on the work 7AI already does on every alert.
| Source | Detection Rule Name | Type | MITRE | Recent Detections | Investigations |
|---|---|---|---|---|---|
MDMicrosoft Defender | User Reported Phishing | Custom | T1566 - Phishing T1566.001 - Spearphishing Attachment T1204.001 - Malicious Link | 798 | 399 |
7AI7AI | Impossible Travel | Custom | T1078 - Valid Accounts T1078.004 - Cloud Accounts | 348 | 348 |
SPSplunk | High Risk Okta Login | Custom | T1078 - Valid Accounts T1110 - Brute Force | 1,170 | 130 |
CSCrowdStrike | USB Device Policy Violation | Custom | T1052 - Exfiltration Over Physical Medium T1025 - Data from Removable Media | 693 | 99 |
S1SentinelOne | Process Injection Detected | Custom | T1055 - Process Injection T1055.012 - Process Hollowing | 85 | 85 |
MSMicrosoft Sentinel | Malware Detected in Workload | Custom | T1204 - User Execution T1610 - Deploy Container | 532 | 76 |
04 / Recommendations
Find the noise. Tune it down.
7AI watches how every rule performs and flags the ones generating false positives at scale. For each one it explains why, quantifies the cost in analyst time, and recommends a precise change scoped to confirmed threat signals, so real detections rise and the noise falls.
- False positive rate measured for every rule.
- A specific, scoped tuning recommendation, not a vague score.
- You stay in control, with humans on the loop.
User Reported Phishing
EnabledThis rule is generating significant noise at 467 detections with a 96% false positive rate. Most user reported emails are misidentified newsletters, marketing emails, or internal communications. Targeted exclusions are strongly recommended to reduce analyst fatigue.
| where ThreatTypes contains "Phish" AND (UrlCount > 0 OR AttachmentCount > 0) | where ConfidenceLevel in ("High", "Medium")
05 / Detection Routing
Route every detection to the right outcome.
Decide what happens to each detection before it ever reaches a person. Investigate everything critical, sample the low-severity noise, suppress known-good sources, or send confirmed threats straight to enrichment and quarantine. Routing runs continuously, with humans on the loop and a full audit trail.
- Investigate, sample, suppress, or escalate by rule.
- Exceptions for VIPs and known-good sources.
- Every routing decision logged.
| Hierarchy | Status | Name | Exceptions | Outcome | Impacted rules |
|---|---|---|---|---|---|
| 1 | ENABLED | Critical detections always investigate Anything rated critical is investigated immediately | None | Investigate | 42 |
| 2 | ENABLED | Sample low-severity informational alerts Investigate a sample of low-severity informational alerts | entity on VIP list | InvestigateSampling: 10% | 310 |
| 3 | ENABLED | Suppress known scanner noise Do not investigate alerts from the approved internal scanner | None | Do not investigate | 18 |
| 4 | DRAFT | Quarantine ransomware indicators Run the quarantine workflow for ransomware detections | None | Quarantine & notify | 7 |
| 5 | ENABLED | Phishing: enrich and quarantine Run enrichment and quarantine workflows for confirmed phishing | None | Enrich & tagQuarantine & notify | 12 |
A detection layer that gets sharper over time. build what's next.
A force multiplier, not a replacement.
Questions
Detection optimization, answered.
Detection optimization is the work of connecting and analyzing your detection stack so you can see your full alert inventory, find coverage gaps, and tune the rules that generate false positives. 7AI does it continuously across every connected source.
No. 7AI connects to the detection sources you already run across identity, endpoint, cloud, email, and SIEM, and makes them work better together. A force multiplier, not a replacement.
7AI maps your detections to the MITRE ATT&CK techniques attackers use and scores coverage tactic by tactic, so thin and missing coverage becomes visible and you can prioritize the gaps that matter for your environment.
For a noisy rule, 7AI shows how often it fires, how many of those detections were false positives, and why, then recommends a specific change scoped to confirmed threat signals. You decide whether to apply it.
Changes happen with humans on the loop. 7AI recommends, you stay in control of what gets tuned, and every change is recorded.
A sharper detection layer means higher-signal alerts. Those alerts flow into 7AI investigations, where every one is taken to a conclusion.
Take the full tour
See the whole platform, in one guided demo.
A walkthrough of detection intelligence, coverage, rules, and routing, end to end, on a realistic data set. Work on your own detections begins once you are set up.