90% faster incident detection

AI Log Collection Analysis Agent

From overwhelming data to actionable intelligence

Delegate log analysis to a specialized AI agent. It processes massive log collections, identifies security anomalies, detects compliance violations, and surfaces critical incidents with full context and evidence, allowing your security team to focus on response and remediation.

Ideal for

Security Operations

Compliance Teams

DevOps & Infrastructure

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    Alaris logo
    Mercedes-Benz logo
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    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Log Collection Analysis Agent in action

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  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Log Collection Analysis Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Log Collection Analysis Agent in action

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Security Incident Investigation

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    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Log Collection Analysis Agent in action

Play video

Time comparison

Time comparison

Traditional way

8-16 hours per week

With V7 Go agents

30-45 minutes

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Anomaly Detection

Identifies unusual patterns, failed authentication attempts, privilege escalations, and suspicious data access in real time, surfacing threats that manual review would miss.

Automated Anomaly Detection

Identifies unusual patterns, failed authentication attempts, privilege escalations, and suspicious data access in real time, surfacing threats that manual review would miss.

Automated Anomaly Detection

Identifies unusual patterns, failed authentication attempts, privilege escalations, and suspicious data access in real time, surfacing threats that manual review would miss.

Automated Anomaly Detection

Identifies unusual patterns, failed authentication attempts, privilege escalations, and suspicious data access in real time, surfacing threats that manual review would miss.

Security Incident Correlation

Connects disparate log events across systems to reconstruct attack chains and understand the full scope of security incidents, not just isolated events.

Security Incident Correlation

Connects disparate log events across systems to reconstruct attack chains and understand the full scope of security incidents, not just isolated events.

Security Incident Correlation

Connects disparate log events across systems to reconstruct attack chains and understand the full scope of security incidents, not just isolated events.

Security Incident Correlation

Connects disparate log events across systems to reconstruct attack chains and understand the full scope of security incidents, not just isolated events.

Compliance Violation Detection

Automatically flags logs that violate regulatory requirements like HIPAA, SOC 2, PCI-DSS, and GDPR, ensuring your organization maintains compliance posture.

Compliance Violation Detection

Automatically flags logs that violate regulatory requirements like HIPAA, SOC 2, PCI-DSS, and GDPR, ensuring your organization maintains compliance posture.

Compliance Violation Detection

Automatically flags logs that violate regulatory requirements like HIPAA, SOC 2, PCI-DSS, and GDPR, ensuring your organization maintains compliance posture.

Compliance Violation Detection

Automatically flags logs that violate regulatory requirements like HIPAA, SOC 2, PCI-DSS, and GDPR, ensuring your organization maintains compliance posture.

Bulk Log Processing

Processes millions of log entries from multiple sources simultaneously, analyzing weeks of data in minutes without performance degradation.

Bulk Log Processing

Processes millions of log entries from multiple sources simultaneously, analyzing weeks of data in minutes without performance degradation.

Bulk Log Processing

Processes millions of log entries from multiple sources simultaneously, analyzing weeks of data in minutes without performance degradation.

Bulk Log Processing

Processes millions of log entries from multiple sources simultaneously, analyzing weeks of data in minutes without performance degradation.

Contextual Threat Intelligence

Enriches findings with context about user roles, asset criticality, and threat severity, enabling faster prioritization and response decisions.

Contextual Threat Intelligence

Enriches findings with context about user roles, asset criticality, and threat severity, enabling faster prioritization and response decisions.

Contextual Threat Intelligence

Enriches findings with context about user roles, asset criticality, and threat severity, enabling faster prioritization and response decisions.

Contextual Threat Intelligence

Enriches findings with context about user roles, asset criticality, and threat severity, enabling faster prioritization and response decisions.

Auditable Investigation Trail

Every finding is linked directly to the source log entries with precise timestamps and context, creating a defensible audit trail for incident response and forensics.

Auditable Investigation Trail

Every finding is linked directly to the source log entries with precise timestamps and context, creating a defensible audit trail for incident response and forensics.

Auditable Investigation Trail

Every finding is linked directly to the source log entries with precise timestamps and context, creating a defensible audit trail for incident response and forensics.

Auditable Investigation Trail

Every finding is linked directly to the source log entries with precise timestamps and context, creating a defensible audit trail for incident response and forensics.

Analyzes logs from any source

To surface security threats and compliance violations.

Get started

Get started

Logo
Logo
Logo

Import your files

Splunk

,

AWS

,

Google Cloud

Import your files from whereever they are currently stored

Built for the teams that handle high-stakes work

Built to scale workflows for teams that need speed and accuracy.

For Teams

For Teams

Security Operations Centers

Security Operations Centers

Security Operations Centers

Reduce mean time to detect and respond to incidents. Let the agent handle log triage so your analysts can focus on investigation and remediation of confirmed threats.

Reduce mean time to detect and respond to incidents. Let the agent handle log triage so your analysts can focus on investigation and remediation of confirmed threats.

Reduce mean time to detect and respond to incidents. Let the agent handle log triage so your analysts can focus on investigation and remediation of confirmed threats.

Compliance & Risk Teams

Compliance & Risk Teams

Compliance & Risk Teams

Demonstrate regulatory compliance with automated log analysis and auditable findings. Generate evidence for audits and investigations without manual log review.

Demonstrate regulatory compliance with automated log analysis and auditable findings. Generate evidence for audits and investigations without manual log review.

Demonstrate regulatory compliance with automated log analysis and auditable findings. Generate evidence for audits and investigations without manual log review.

Customer voices

Customer voices

Connect AI to your security operations.

Connect AI to your security operations.

Detect threats faster than ever before.

Detect threats faster than ever before.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting diverse log formats.

From any source.

Logs come from countless sources with different formats and structures. This agent handles everything from structured JSON logs to unformatted text entries, from cloud platforms to on-premises systems. It normalizes disparate formats and correlates events across your entire infrastructure.

Input types

Structured JSON

Unstructured Text

CSV & Tabular

Multi-Source

Document types

JSON Logs

Syslog Format

CSV Files

Binary Formats

API Responses

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting diverse log formats.

From any source.

Logs come from countless sources with different formats and structures. This agent handles everything from structured JSON logs to unformatted text entries, from cloud platforms to on-premises systems. It normalizes disparate formats and correlates events across your entire infrastructure.

Input types

Structured JSON

Unstructured Text

CSV & Tabular

Multi-Source

Document types

JSON Logs

Syslog Format

CSV Files

Binary Formats

API Responses

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting diverse log formats.

From any source.

Logs come from countless sources with different formats and structures. This agent handles everything from structured JSON logs to unformatted text entries, from cloud platforms to on-premises systems. It normalizes disparate formats and correlates events across your entire infrastructure.

Input types

Structured JSON

Unstructured Text

CSV & Tabular

Multi-Source

Document types

JSON Logs

Syslog Format

CSV Files

Binary Formats

API Responses

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Detect real threats

with minimal false positives.

Security teams are overwhelmed by false positives. This agent uses multi-factor analysis and contextual reasoning to distinguish genuine threats from benign activity, ensuring your team investigates real incidents, not noise.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Detect real threats

with minimal false positives.

Security teams are overwhelmed by false positives. This agent uses multi-factor analysis and contextual reasoning to distinguish genuine threats from benign activity, ensuring your team investigates real incidents, not noise.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Detect real threats

with minimal false positives.

Security teams are overwhelmed by false positives. This agent uses multi-factor analysis and contextual reasoning to distinguish genuine threats from benign activity, ensuring your team investigates real incidents, not noise.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Trustworthy findings,

backed by evidence.

Every security finding is linked directly to the source log entries with precise timestamps and context. This creates an auditable trail for incident response, forensics, and regulatory compliance investigations.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy findings,

backed by evidence.

Every security finding is linked directly to the source log entries with precise timestamps and context. This creates an auditable trail for incident response, forensics, and regulatory compliance investigations.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Trustworthy findings,

backed by evidence.

Every security finding is linked directly to the source log entries with precise timestamps and context. This creates an auditable trail for incident response, forensics, and regulatory compliance investigations.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Enterprise-grade security

for sensitive security data.

Security logs contain your most sensitive operational data. V7 Go processes logs within your secure environment, adheres to strict data privacy standards, and ensures logs are never used for external model training or shared with third parties.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive security data.

Security logs contain your most sensitive operational data. V7 Go processes logs within your secure environment, adheres to strict data privacy standards, and ensures logs are never used for external model training or shared with third parties.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise-grade security

for sensitive security data.

Security logs contain your most sensitive operational data. V7 Go processes logs within your secure environment, adheres to strict data privacy standards, and ensures logs are never used for external model training or shared with third parties.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

Answers

What you need to know about our

AI Log Collection Analysis Agent

How does it detect security anomalies?

The agent uses behavioral analysis and pattern recognition to identify deviations from normal activity. It learns baseline patterns from your logs and flags activities that deviate significantly, such as unusual login times, geographic impossibilities, or access to sensitive resources by unauthorized users.

+

How does it detect security anomalies?

The agent uses behavioral analysis and pattern recognition to identify deviations from normal activity. It learns baseline patterns from your logs and flags activities that deviate significantly, such as unusual login times, geographic impossibilities, or access to sensitive resources by unauthorized users.

+

How does it detect security anomalies?

The agent uses behavioral analysis and pattern recognition to identify deviations from normal activity. It learns baseline patterns from your logs and flags activities that deviate significantly, such as unusual login times, geographic impossibilities, or access to sensitive resources by unauthorized users.

+

What log sources can it analyze?

The agent is designed to handle logs from any source: authentication systems, firewalls, web servers, databases, cloud platforms, endpoint detection tools, and custom applications. It normalizes different log formats and correlates events across all sources.

+

What log sources can it analyze?

The agent is designed to handle logs from any source: authentication systems, firewalls, web servers, databases, cloud platforms, endpoint detection tools, and custom applications. It normalizes different log formats and correlates events across all sources.

+

What log sources can it analyze?

The agent is designed to handle logs from any source: authentication systems, firewalls, web servers, databases, cloud platforms, endpoint detection tools, and custom applications. It normalizes different log formats and correlates events across all sources.

+

How does it handle false positives?

The agent uses multi-factor analysis to reduce false positives. It correlates multiple signals, considers context like scheduled maintenance windows, and learns from your feedback to refine detection rules over time.

+

How does it handle false positives?

The agent uses multi-factor analysis to reduce false positives. It correlates multiple signals, considers context like scheduled maintenance windows, and learns from your feedback to refine detection rules over time.

+

How does it handle false positives?

The agent uses multi-factor analysis to reduce false positives. It correlates multiple signals, considers context like scheduled maintenance windows, and learns from your feedback to refine detection rules over time.

+

Can it integrate with our SIEM?

Yes. V7 Go integrates with major SIEM platforms and can ingest logs from Splunk, Elastic, Datadog, and others. It can also export findings back to your SIEM for alerting and response automation.

+

Can it integrate with our SIEM?

Yes. V7 Go integrates with major SIEM platforms and can ingest logs from Splunk, Elastic, Datadog, and others. It can also export findings back to your SIEM for alerting and response automation.

+

Can it integrate with our SIEM?

Yes. V7 Go integrates with major SIEM platforms and can ingest logs from Splunk, Elastic, Datadog, and others. It can also export findings back to your SIEM for alerting and response automation.

+

How quickly can it process large log volumes?

The agent processes millions of log entries in minutes. Analysis speed depends on volume and complexity, but typical security log collections from a week of activity are analyzed in under 5 minutes.

+

How quickly can it process large log volumes?

The agent processes millions of log entries in minutes. Analysis speed depends on volume and complexity, but typical security log collections from a week of activity are analyzed in under 5 minutes.

+

How quickly can it process large log volumes?

The agent processes millions of log entries in minutes. Analysis speed depends on volume and complexity, but typical security log collections from a week of activity are analyzed in under 5 minutes.

+

Is log data kept confidential?

Absolutely. V7 Go processes logs within your secure environment and adheres to enterprise-grade security standards. Logs are never used for model training or shared with third parties. Your security data remains your own.

+

Is log data kept confidential?

Absolutely. V7 Go processes logs within your secure environment and adheres to enterprise-grade security standards. Logs are never used for model training or shared with third parties. Your security data remains your own.

+

Is log data kept confidential?

Absolutely. V7 Go processes logs within your secure environment and adheres to enterprise-grade security standards. Logs are never used for model training or shared with third parties. Your security data remains your own.

+

Next steps

Next steps

Spending hours manually reviewing logs?

Send us a week of your security logs, and we'll show you what threats you're missing with manual analysis.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: