AI in Information Security: Security & Compliance AI
AI in information security helps the information security team resolve incidents faster, prepare checklists for Federal Law No. 152-FZ, CII, and GIS, and link requirements to control measures. Security & Compliance AI is a module of the RESTART AI Enterprise Platform designed for SOC, SGRC, and compliance: it integrates with SIEM, SOAR, SGRC, and vulnerability scanners, operates within the customer's environment, and its findings are approved by a specialist.
Where AI helps the information security team
GK RESTART — AI for Information Security: SOC event analysis, SGRC, and compliance with Federal Law No. 152-FZ, CIIs, and GIS within the customer's perimeter.
SOC Event Analysis
Summarizes events, requests, logs, timelines and similar incidents for initial analysis by a specialist.
SGRC
Works with risks, control measures, and tasks from SGRC: maps requirements to current measures.
Compliance
Prepares checklists for Federal Law No. 152-FZ, Personal Data Protection Systems (ISPDn), Critical Information Infrastructure (CII), State Information Systems (GIS), and internal policies, as well as document lists and questions for system owners.
Policies and regulations
Looks up requirements in documents, explains the meaning of regulations and relates them to controls.
Vulnerabilities
Uses data from scanners: CVE, CVSS, EPSS, KEV, assets, remediation statuses, SLAs, and tasks assigned to system owners.
AI Risk Management
Helps track prompt injection, leaks, access rights, and logs of other AI modules.
The module connects to class systems SIEM, SOAR and SGRCAI system security itself—auditing, protecting LLMs and RAG, data leaks via AI—is a separate area: AI system securityAll information security practice — information security. How AI is integrated into the entire company's processes - implementation of AI in business.
Product positioning
Security & Compliance AI is needed by companies where information security can no longer be limited to manual analysis of documents, events, requirements and reports. The product helps you quickly find the required standards, compare requirements with current measures, prepare draft checklists and resolve incidents.
This is not a replacement for a CISO, SOC, or auditor. This is a working AI layer for information security specialists that connects internal policies, regulatory requirements, events, tasks, reports and team knowledge.
Benefits for the client
Prepare inspections faster
The team quickly collects checklists, lists of documents, questions for system owners and draft reports.
Reduce information security load
Repetitive questions about policies, requirements and regulations are processed faster.
Strengthen incident analysis
AI helps summarize events, search for similar cases, prepare a timeline and recommendations for a specialist.
Control AI risks
The module helps take into account prompt injection, leaks, access rights, logs and AI usage modes.
What the module can do
Compliance checklists
Helps prepare checklists for Federal Law No. 152-FZ, ISPDn, CII, GIS, internal policies and customer requirements.
Incident analysis
Summarizes events, requests, logs, timelines and similar incidents for initial analysis by a specialist.
Policies and regulations
Looks up requirements in documents, explains the meaning of regulations and relates them to controls.
AI risk control
Supports analysis of AI use cases, data sources, access rights and logging.
Integrations
| environment | What is connected |
|---|---|
| SIEM / SOAR / SGRC | Events, incidents, response scenarios, risks, controls and objectives. |
| VM and vulnerability scanners | CVE, CVSS, EPSS, KEV, assets, fix statuses, exceptions, SLAs and tasks for system owners. |
| IS documents | Policies, threat models, regulations, acts, reports, checklists and operational documentation. |
| Service Desk and Jira | Information security tasks, requests, elimination tasks, statuses, owners and execution control. |
| AI platform | AI request logs, sources, roles, policies and control over the safe use of modules. |
How we implement it
Discovery
We fix the business process, data sources, user roles, information security restrictions, benefit criteria and the first scenario.
MVP
We launch the working module in a limited loop, connect data, roles, logs, interface and quality control.
Pilot
We test the effect on real users, set up rules, finalize integrations and prepare for operation.
Scale
We expand the module to new units, sources, roles and scenarios without breaking the platform core.
Responsibility control
Information security cannot be fully automated without a responsible owner. The module prepares analytical assistance, but conclusions, regulatory decisions, responses to inspections and actions on incidents must be approved by customer specialists.
Data under control
Sources, permissions, logs, and restrictions are fixed at the architecture level rather than added after launch.
Integrations
Modules connect to ERP, 1C, SAP, DWH, EDMS, Service Desk, GitLab, Jira, Confluence, portals and internal APIs.
Verifiability
Answers and actions should be explainable: sources, versions, logs, processing statuses and the responsible owner of the process.
Scaling
Each of the following scenarios uses the platform core: roles, models, RAGs, logs, connectors, and security rules.
AI Compute for Protected environments
Security & Compliance AI must work where there are requirements for logs, access policies, incidents, personal data, CII and internal regulations. The infrastructure is designed together with the information security practice RESTART.
Frequently asked questions
How is AI used in information security?
For initial incident analysis by the SOC, preparation of checklists and reports under Federal Law No. 152-FZ, CIIs and State Information Systems (GIS), searching for requirements in policies, mapping requirements to control measures, and handling vulnerability data. Findings and actions are approved by the customer's specialists.
What does AI offer for SGRC?
The module retrieves risks, controls, and tasks from SGRC, helps map requirements to existing controls, prepares draft checklists and reports, and tracks implementation status.
Will AI replace a SOC analyst?
No. This is a working AI layer for cybersecurity professionals: it summarizes events and prepares materials, but the customer's specialists approve conclusions, regulatory decisions, responses to audits, and incident response actions.
Can the module be used without sending data to external services?
Yes. Security & Compliance AI is delivered as a module of the RESTART AI Enterprise Platform, which can be deployed on-premise, in a private cloud, or hybrid; sources, access rights, and logs are captured at the architecture level.
Can I use it to prepare for Federal Law No. 152-FZ?
Yes. The module helps to collect checklists, documents, questions and implementation status, but does not replace legal and information security expertise.
Does it connect to SIEM?
Yes, if it is part of an agreed pilot or industrial implementation.
Can it control other AI modules?
Yes. As part of the platform, the module can help with logs, sources, rights and risks of AI scenarios.
Enterprise product packaging
Security & Compliance AI is delivered as a module of the RESTART AI Enterprise Platform: with a clear area of responsibility, business process owner, data model, integrations, roles, logs, pilot criteria and production plan. This is important for CIOs and CISOs: the module does not live separately from the corporate architecture, but is integrated into the IT landscape, security, operations and change management.
Business effect
Success criteria are formulated before the pilot: time, quality, reduction of manual workload, speed of response, completeness of data or controllability of the process.
Integrations
The module connects to customer systems: ERP, 1C, SAP, BI, DWH, EDMS, Service Desk, Git, portal, mail, documents and internal APIs.
Information security and compliance
The separation of roles, sources, loops, logs, and data is considered at the architectural level rather than added after launch.
Scaling
After the first successful scenario, the module can be expanded to new departments, documents, processes, users and regions.
How to show value per pilot
Select one process
Don’t try to automate everything at once: choose a process with an understandable pain, an owner and a measurable result.
Connect data
Collect a limited but real set of documents, applications, reports, code, regulations or historical requests.
Check with users
Conduct a pilot on working scenarios, collect feedback, adjust the quality of answers and control of controversial cases.
Design an production environment
Fix the architecture, roles, regulations, SLA, monitoring, support and development roadmap.
Let's discuss your environment
Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.
