90% faster incident reporting
AI agent for Cyber Security Analysts
From threat detection to documented response
Delegate continuous threat monitoring and incident documentation to a specialized AI agent. It analyzes security events across your financial infrastructure, correlates threat intelligence, identifies attack patterns, and generates detailed incident reports that meet regulatory requirements.
Ideal for
Security Operations Centers
Incident Response Teams
Compliance Officers
See AI agent for Cyber Security Analysts in action
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See AI agent for Cyber Security Analysts in action
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See AI agent for Cyber Security Analysts in action
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Security Event Analysis
See AI agent for Cyber Security Analysts in action
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Time comparison
Time comparison
Traditional way
4-8 hours per incident
With V7 Go agents
15-30 minutes
Average time saved
90%
Why V7 Go
Why V7 Go
Continuous Threat Monitoring
Analyzes security events in real-time across network logs, endpoint data, and application activity to identify suspicious patterns and potential breaches before they escalate.
Continuous Threat Monitoring
Analyzes security events in real-time across network logs, endpoint data, and application activity to identify suspicious patterns and potential breaches before they escalate.
Continuous Threat Monitoring
Analyzes security events in real-time across network logs, endpoint data, and application activity to identify suspicious patterns and potential breaches before they escalate.
Continuous Threat Monitoring
Analyzes security events in real-time across network logs, endpoint data, and application activity to identify suspicious patterns and potential breaches before they escalate.
Threat Intelligence Correlation
Cross-references detected anomalies with global threat intelligence feeds, known attack signatures, and your organization's historical incident data to assess severity and attribution.
Threat Intelligence Correlation
Cross-references detected anomalies with global threat intelligence feeds, known attack signatures, and your organization's historical incident data to assess severity and attribution.
Threat Intelligence Correlation
Cross-references detected anomalies with global threat intelligence feeds, known attack signatures, and your organization's historical incident data to assess severity and attribution.
Threat Intelligence Correlation
Cross-references detected anomalies with global threat intelligence feeds, known attack signatures, and your organization's historical incident data to assess severity and attribution.
Attack Pattern Recognition
Identifies multi-stage attack campaigns by connecting seemingly unrelated events across different systems, revealing the full scope of sophisticated intrusion attempts.
Attack Pattern Recognition
Identifies multi-stage attack campaigns by connecting seemingly unrelated events across different systems, revealing the full scope of sophisticated intrusion attempts.
Attack Pattern Recognition
Identifies multi-stage attack campaigns by connecting seemingly unrelated events across different systems, revealing the full scope of sophisticated intrusion attempts.
Attack Pattern Recognition
Identifies multi-stage attack campaigns by connecting seemingly unrelated events across different systems, revealing the full scope of sophisticated intrusion attempts.
Automated Incident Documentation
Generates detailed incident reports that include timeline reconstruction, affected systems, indicators of compromise, and recommended remediation steps in formats that meet regulatory requirements.
Automated Incident Documentation
Generates detailed incident reports that include timeline reconstruction, affected systems, indicators of compromise, and recommended remediation steps in formats that meet regulatory requirements.
Automated Incident Documentation
Generates detailed incident reports that include timeline reconstruction, affected systems, indicators of compromise, and recommended remediation steps in formats that meet regulatory requirements.
Automated Incident Documentation
Generates detailed incident reports that include timeline reconstruction, affected systems, indicators of compromise, and recommended remediation steps in formats that meet regulatory requirements.
Compliance-Ready Reporting
Produces documentation that aligns with financial sector regulations including FFIEC, PCI DSS, and SOX requirements, ensuring audit trails are complete and defensible.
Compliance-Ready Reporting
Produces documentation that aligns with financial sector regulations including FFIEC, PCI DSS, and SOX requirements, ensuring audit trails are complete and defensible.
Compliance-Ready Reporting
Produces documentation that aligns with financial sector regulations including FFIEC, PCI DSS, and SOX requirements, ensuring audit trails are complete and defensible.
Compliance-Ready Reporting
Produces documentation that aligns with financial sector regulations including FFIEC, PCI DSS, and SOX requirements, ensuring audit trails are complete and defensible.
Contextual Risk Assessment
Evaluates threats within the context of your specific infrastructure, business operations, and data sensitivity to prioritize response efforts on the most critical risks.
Contextual Risk Assessment
Evaluates threats within the context of your specific infrastructure, business operations, and data sensitivity to prioritize response efforts on the most critical risks.
Contextual Risk Assessment
Evaluates threats within the context of your specific infrastructure, business operations, and data sensitivity to prioritize response efforts on the most critical risks.
Contextual Risk Assessment
Evaluates threats within the context of your specific infrastructure, business operations, and data sensitivity to prioritize response efforts on the most critical risks.
Analyzes security data from any source
To deliver actionable threat intelligence and compliance documentation.
Get started
Get started
Import your files
Splunk
,
Slack
,
Jira
Import your files from whereever they are currently stored
All types of Finance documents supported
Once imported our system extracts and organises the essentials
Customer voices
Customer voices
Connect AI to your security operations.
Connect AI to your security operations.
Turn threat detection into documented response in minutes.
Turn threat detection into documented response in minutes.
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
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
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
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
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 complex documents.
Up to 200 pages.
Security data comes in countless formats. This agent processes everything from structured SIEM logs and network packet captures to unstructured threat intelligence reports and vulnerability assessments, regardless of source or format.
Input types
50+ languages
Log Files
200 pages
Multi-modal
Document types
PDFs
JSON
Complex Tables
Network Diagrams
CSV Logs
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Security data comes in countless formats. This agent processes everything from structured SIEM logs and network packet captures to unstructured threat intelligence reports and vulnerability assessments, regardless of source or format.
Input types
50+ languages
Log Files
200 pages
Multi-modal
Document types
PDFs
JSON
Complex Tables
Network Diagrams
CSV Logs
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Supporting complex documents.
Up to 200 pages.
Security data comes in countless formats. This agent processes everything from structured SIEM logs and network packet captures to unstructured threat intelligence reports and vulnerability assessments, regardless of source or format.
Input types
50+ languages
Log Files
200 pages
Multi-modal
Document types
PDFs
JSON
Complex Tables
Network Diagrams
CSV Logs
Vendor_US.xlsx
3
Supply_2023.pptx
Review_Legal.pdf
Reach 99% accuracy rate
through GenAI reasoning.
In security operations, false positives waste critical time while false negatives create risk. The agent uses sophisticated pattern recognition and contextual analysis to accurately distinguish genuine threats from benign anomalies.
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)
Reach 99% accuracy rate
through GenAI reasoning.
In security operations, false positives waste critical time while false negatives create risk. The agent uses sophisticated pattern recognition and contextual analysis to accurately distinguish genuine threats from benign anomalies.
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)
Reach 99% accuracy rate
through GenAI reasoning.
In security operations, false positives waste critical time while false negatives create risk. The agent uses sophisticated pattern recognition and contextual analysis to accurately distinguish genuine threats from benign anomalies.
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 results,
grounded in reality.
Every threat assessment and incident finding is linked to specific log entries, network events, or system telemetry. Security teams can trace every conclusion back to raw evidence, ensuring incident reports withstand regulatory scrutiny.
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
![](data:image/svg+xml,<svg display="block" role="presentation" viewBox="0 0 198 15" xmlns="http://www.w3.org/2000/svg"><defs ><clipPath id="J0QEw1Ctk-2037569988-stroke"><use href="%23J0QEw1Ctk-2037569988"/></clipPath><path d="M 0 1 C 0 0.448 0.448 0 1 0 L 197 0 C 197.552 0 198 0.448 198 1 L 198 9 C 198 9.552 197.552 10 197 10 L 76 10 L 76 14 C 76 14.552 75.552 15 75 15 L 1 15 C 0.448 15 0 14.552 0 14 Z" id="J0QEw1Ctk-2037569988"/></defs><use fill="rgba(124, 58, 237, 0.1)" height="15px" href="%23J0QEw1Ctk-2037569988" id="J0QEw1Ctk" width="198px"/><use clip-path="url(%23J0QEw1Ctk-2037569988-stroke)" fill="transparent" href="%23J0QEw1Ctk-2037569988" stroke-dasharray="0" stroke-linecap="butt" stroke-linejoin="miter" stroke-miterlimit="4" stroke-width="1" stroke="rgb(124, 58, 237)"/></svg>)
02
01
01
02
Trustworthy results,
grounded in reality.
Every threat assessment and incident finding is linked to specific log entries, network events, or system telemetry. Security teams can trace every conclusion back to raw evidence, ensuring incident reports withstand regulatory scrutiny.
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 results,
grounded in reality.
Every threat assessment and incident finding is linked to specific log entries, network events, or system telemetry. Security teams can trace every conclusion back to raw evidence, ensuring incident reports withstand regulatory scrutiny.
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 high-stake industries.
Security event data contains your most sensitive operational intelligence. V7 Go processes all threat analysis within your secure environment, ensuring incident data never leaves your infrastructure and meets financial sector confidentiality requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Security event data contains your most sensitive operational intelligence. V7 Go processes all threat analysis within your secure environment, ensuring incident data never leaves your infrastructure and meets financial sector confidentiality requirements.
Certifications
GDPR
SOC2
HIPAA
ISO
Safety
Custom storage
Data governance
Access-level permissions
Enterprise grade security
for high-stake industries.
Security event data contains your most sensitive operational intelligence. V7 Go processes all threat analysis within your secure environment, ensuring incident data never leaves your infrastructure and meets financial sector confidentiality requirements.
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 agent for Cyber Security Analysts
How does the agent distinguish between false positives and real threats?
The agent uses multi-layered analysis that combines behavioral patterns, threat intelligence correlation, and historical context from your Knowledge Hub. It evaluates multiple indicators before flagging an event as a genuine threat, significantly reducing false positive rates compared to rule-based systems.
+
How does the agent distinguish between false positives and real threats?
The agent uses multi-layered analysis that combines behavioral patterns, threat intelligence correlation, and historical context from your Knowledge Hub. It evaluates multiple indicators before flagging an event as a genuine threat, significantly reducing false positive rates compared to rule-based systems.
+
How does the agent distinguish between false positives and real threats?
The agent uses multi-layered analysis that combines behavioral patterns, threat intelligence correlation, and historical context from your Knowledge Hub. It evaluates multiple indicators before flagging an event as a genuine threat, significantly reducing false positive rates compared to rule-based systems.
+
Can it integrate with our existing SIEM and security tools?
Yes. The agent connects to major SIEM platforms, endpoint detection systems, and threat intelligence feeds through standard APIs. It enriches your existing security data rather than replacing your current infrastructure.
+
Can it integrate with our existing SIEM and security tools?
Yes. The agent connects to major SIEM platforms, endpoint detection systems, and threat intelligence feeds through standard APIs. It enriches your existing security data rather than replacing your current infrastructure.
+
Can it integrate with our existing SIEM and security tools?
Yes. The agent connects to major SIEM platforms, endpoint detection systems, and threat intelligence feeds through standard APIs. It enriches your existing security data rather than replacing your current infrastructure.
+
How does it handle zero-day threats with no known signatures?
The agent uses behavioral analysis and anomaly detection rather than relying solely on signature matching. It identifies deviations from normal patterns in your environment, enabling detection of novel attack techniques and zero-day exploits.
+
How does it handle zero-day threats with no known signatures?
The agent uses behavioral analysis and anomaly detection rather than relying solely on signature matching. It identifies deviations from normal patterns in your environment, enabling detection of novel attack techniques and zero-day exploits.
+
How does it handle zero-day threats with no known signatures?
The agent uses behavioral analysis and anomaly detection rather than relying solely on signature matching. It identifies deviations from normal patterns in your environment, enabling detection of novel attack techniques and zero-day exploits.
+
What regulatory frameworks does the incident reporting support?
The agent generates reports structured for FFIEC cybersecurity requirements, PCI DSS incident response documentation, SOX IT control evidence, and general regulatory notification formats. Report templates can be customized to your specific compliance obligations.
+
What regulatory frameworks does the incident reporting support?
The agent generates reports structured for FFIEC cybersecurity requirements, PCI DSS incident response documentation, SOX IT control evidence, and general regulatory notification formats. Report templates can be customized to your specific compliance obligations.
+
What regulatory frameworks does the incident reporting support?
The agent generates reports structured for FFIEC cybersecurity requirements, PCI DSS incident response documentation, SOX IT control evidence, and general regulatory notification formats. Report templates can be customized to your specific compliance obligations.
+
How quickly can it generate an incident report after detection?
Once a security event is flagged, the agent can produce a comprehensive incident report within minutes. This includes timeline reconstruction, affected asset inventory, threat actor attribution when available, and recommended containment steps.
+
How quickly can it generate an incident report after detection?
Once a security event is flagged, the agent can produce a comprehensive incident report within minutes. This includes timeline reconstruction, affected asset inventory, threat actor attribution when available, and recommended containment steps.
+
How quickly can it generate an incident report after detection?
Once a security event is flagged, the agent can produce a comprehensive incident report within minutes. This includes timeline reconstruction, affected asset inventory, threat actor attribution when available, and recommended containment steps.
+
Is the threat analysis verifiable and auditable?
Absolutely. Every threat assessment and finding in the incident report is linked back to specific log entries, network traffic captures, or endpoint telemetry through AI Citations. This creates a complete audit trail that security teams and regulators can verify.
+
Is the threat analysis verifiable and auditable?
Absolutely. Every threat assessment and finding in the incident report is linked back to specific log entries, network traffic captures, or endpoint telemetry through AI Citations. This creates a complete audit trail that security teams and regulators can verify.
+
Is the threat analysis verifiable and auditable?
Absolutely. Every threat assessment and finding in the incident report is linked back to specific log entries, network traffic captures, or endpoint telemetry through AI Citations. This creates a complete audit trail that security teams and regulators can verify.
+
Next steps
Next steps
Still manually correlating security alerts and writing incident reports?
Share a recent security event log with us, and we'll demonstrate how our agent analyzes threats and generates compliance-ready documentation automatically.
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: