Black Hat 2026. Find us at Booth #1839  ·  Las Vegas, August Learn more →
Compare Approaches

7AI vs. SIEM

A SIEM is a system of record. The question is how much you pay to centralize everything before anyone can investigate it. 7AI agents query data where it was born.

app.sevenai.com / detect / federated-search
Show every event tied to source IP 185.220.101.45 or to any of the 18 users it targeted, including auth attempts and credential-theft endpoint activity in the past 90 days. 7AI 7AI ▾Search Complete
14 Events1/1 queries Export CSV Draft Rule
TimeSourceOCSF classPrincipalDetail
22:13:51Z OkOkta authentication w.bryant@okami-ai.com INVALID_CREDENTIALS · 185.220.101.45
22:12:47Z OkOkta authentication s.thompson@okami-ai.com INVALID_CREDENTIALS · 185.220.101.45
22:11:34Z OkOkta authentication mikael.eriksson@okami-ai.com PASSWORD_RESET_REQUIRED · 185.220.101.45
22:09:13Z OkOkta authentication j.harrington@okami-ai.com INVALID_CREDENTIALS · 185.220.101.45
Apr 5 14:23:11Z CSCrowdStrike Falcon detection_finding NBK-MERIK-01 LummaC2 · T1555.003 Credentials from Web Browsers · high
Results from every source, normalized to one OCSF schema.

Why teams start looking

The bill grows with the gigabyte, not with the outcome.

Security teams tell us the same three things. The ingest bill climbs every year. The data they actually want is too expensive to onboard, so it never makes it in. And after all that collecting, indexing, and storing, every alert still waits for a person to investigate it. None of that is a flaw in your team. It is the economics of centralize-first.

Two models

What changes when investigation goes to the data, instead of the data coming to the investigation.

01 / The model

Centralize first, ask questions later.

The SIEM approach was designed for a world where humans run the queries, so everything had to live in one place first. Move the data, index it, store it, then search it. Cost scales with volume, not with value. The sources you cannot afford to onboard become the questions you cannot ask.

  • Every gigabyte is paid for before it answers anything.
  • High volume, low value sources price out the data you want.
  • Storage and correlation still leave investigation to people.
The centralize-first model
CollectMoveIndexStoreQueryInvestigate by hand

Data travels to the platform. People travel to the data. The meter runs the whole way.

The federated model
AlertAgents query data at the sourceConclusion, with evidence

7AI agents investigate where the data was born: EDR, identity, email, cloud, and your SIEM. Nothing is duplicated to be understood.

02 / Federated

Investigate where the data lives.

7AI Federated Search reaches into your tools and asks the question there. Agents pull exactly what an investigation needs, when it needs it, from the source of truth for each signal. Your SIEM stays one of those sources, queried for correlation and enrichment, not bypassed.

  • Query in place across EDR, identity, email, cloud, and SIEM.
  • No bulk duplication of logs to a second home.
  • Noisy sources can stop flowing to premium ingest first.
app.sevenai.com / store / logs
Total Log Sources
6
Unhealthy
0
Processed Logs · Hot Storage
1,127.4M
165.5 GB
Source NameStatusLast ReceivedVolume
OkOktaACTIVEJust Now4.5 GB
CSCrowdStrikeACTIVEJust Now18.0 GB
MSMicrosoft SentinelACTIVEJust Now120.0 GB
AWSAWS CloudTrailACTIVEYesterday7.0 GB
DefMicrosoft DefenderACTIVE2 Days Ago14.0 GB
WizWizACTIVE4 Days Ago2.0 GB
03 / Conclusions

Detection that keeps up with every source.

A SIEM stores and correlates. It does not investigate. 7AI takes each alert from source to a determination you can read, with the evidence attached and humans on the loop. That is the work that never got cheaper no matter how much you centralized.

  • Rules mapped across EDR, identity, cloud, and your SIEM.
  • Coverage and gaps visible in one place.
  • Tuned continuously as sources change.
app.sevenai.com / detect / detection-rules
Total Detection Rules
222
Triggered Alerts
24,475
MITRE Coverage
78%
Source & RuleTypeMITRE ATT&CKRecent Detections
DefUser Reported PhishingCustom
T1566 PhishingT1566.001 Spearphishing Attachment
798
SplHigh Risk Okta LoginCustom
T1078 Valid AccountsT1110 Brute Force
1,170
7AIPassword SprayCustom
T1110 Brute ForceT1110.003 Password Spraying
1,000
CSSoftware Vulnerability DetectedCustom
T1190 Exploit Public-Facing AppT1068 Privilege Escalation
402
S1Unusual Network TrafficCustom
T1071 Application Layer ProtocolT1048 Exfiltration Alt Protocol
324
7AIImpossible TravelCustom
T1078 Valid AccountsT1078.004 Cloud Accounts
348

Coexistence, by design

Three ways teams actually do this.

Almost nobody rips out a SIEM on day one, and we would not suggest it. A SIEM is a valuable source of data and correlation. What changes is how much you pay to keep everything in one place.

Path 01

Run in parallel

Keep the SIEM exactly as it is. 7AI agents query it alongside every other tool as a first class source. Nothing about your data strategy has to change to get agentic investigation.

Path 02

Put less data in

Point agents at data where it was born and stop sending high volume, low value sources to premium ingest. The SIEM keeps the data that earns its seat. The savings compound monthly.

Path 03

Move bit by bit

Shift sources over time toward lower cost storage while investigation runs federated. Retention stays intact for compliance. Some teams eventually replace; most simply shrink what they centralize.

Proof at scale

The work gets done either way. Here is the scale.

Investigations7M+Completed to a conclusion
Analyst time521Analyst years given back
Cost$59.9MAnalyst cost reclaimed
Backing$166MTotal Funding

Questions

7AI and SIEM, answered.

Do I have to replace my SIEM to use 7AI?

No. 7AI treats your SIEM as a first class data source. Agents query it for correlation and enrichment alongside your other tools. Many customers change nothing about their SIEM and still get every alert investigated to a conclusion.

How does 7AI reduce SIEM costs?

By investigating data where it was born, 7AI removes the need to send every source to premium ingest just to make it searchable. Teams typically start by diverting the noisiest, lowest value sources and keep the SIEM for the data that deserves centralizing.

What is federated search?

Federated search means the query travels to the data instead of the data traveling to the query. 7AI agents reach into each tool, from EDR to identity to cloud to the SIEM itself, and pull exactly what an investigation needs at the moment it needs it.

What about compliance and retention?

Retention requirements do not change. Data that must be kept can live in low cost storage while investigation runs federated on top. Keeping data and paying premium prices to index it are two different decisions.

Does 7AI work with my existing SIEM?

Yes. 7AI connects to the SIEMs security teams actually run, reads alerts from them, and queries them during investigations. The platform is vendor agnostic by design.

Is 7AI a SIEM?

7AI is agentic security: AI agents that investigate, respond, and hunt across your environment, with humans on the loop. For teams that want it, 7AI also offers low cost federated storage for data that has no affordable home today, so visibility no longer depends on what you can afford to ingest.

See it on your alerts

See what your alerts look like investigated.

A guided demo of the full platform, including how agents query your data where it lives and what a completed investigation looks like.