Agentic Cybersecurity Automation Around Your Existing Security Stack
Connect security signals with identity, asset and business data. Mimasa AI helps teams analyze available evidence, coordinate incident work and automate approved actions.
Build custom AI agents and governed workflows around your existing SIEM, XDR, SOAR and IT systems. Keep people in control of high-risk decisions.
Incident workflows | Business context | Human approval | Compliance evidence | Sovereign deployment
Definition
What Is Cybersecurity Automation?
Cybersecurity automation uses software to complete repeatable security tasks. These tasks can include enrichment, assignment, evidence collection, escalation and reporting.
Agentic AI cybersecurity adds reasoning within defined boundaries. An agent can gather approved context, use assigned tools and recommend the next step.
Mimasa connects these capabilities with governed workflows and people. It complements the security systems already responsible for detection and technical response.
This makes agentic AI for cybersecurity useful beyond a single alert. The same workflow can involve security, IT, legal, HR, compliance and a business owner.
The Value Chain
1Security signal
2Approved context
3Agent-assisted analysis
4Workflow
5Human decision
6Permitted action
7Audit and reporting
Complementary Layer
Complement Your SIEM With Custom Agents And Workflows
Your security stack remains responsible for collecting telemetry, detecting threats and running its native controls. Mimasa adds configurable intelligence and workflow around those systems.
This is a practical form of SIEM automation. It connects a signal to the business process required to resolve it.
Mimasa does not claim a connection to every security product out of the box. Each connector, permission and action must be configured and tested.
It Can Connect An Authorized Security Signal With
The affected user and assigned role.
The asset owner and business service.
Related tickets, policies and previous cases.
A vendor, facility, customer or operational process.
The people responsible for review and action.
Seven Steps
How Agentic Security Automation Works
Each step has a clear boundary. AI security automation works best when every agent has a clear role, approved evidence and limited tools.
01
Signal
Receive an authorized alert, case, ticket, vulnerability finding or scheduled event.
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02
Context
Retrieve approved identity, asset, employee, vendor, policy and business information.
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03
Analyze
Summarize available evidence, identify missing information and prepare a recommended next step.
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04
Coordinate
Create a case, assign tasks and bring the required teams into Gosthi.
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05
Approve
Pause for human review when an action affects access, systems, people or regulatory obligations.
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06
Act
Update a ticket or invoke a permitted action through a configured connection.
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07
Report
Maintain the activity record and prepare operational, compliance or management reporting.
Cybersecurity work extends beyond alert handling. It also includes remediation, evidence, policies, vendors and communication.
01
Incident Response Automation
Incident response automation connects evidence, owners, tasks, approvals and permitted actions. Mimasa can prepare a summary, organize available evidence and route the case for review.
AI for incident response can reduce repetitive coordination. Analysts remain responsible for validating evidence and deciding how to respond.
Connect scanner findings with asset ownership, business importance, remediation deadlines and exception approvals.
Vulnerability management automation can create tasks and track supporting evidence. Automated vulnerability remediation should invoke a technical action only when it has been explicitly configured and approved.
03
Compliance Evidence Automation
Collect evidence from approved systems. Assign missing items, monitor deadlines and prepare a structured review pack.
Mimasa can add workflow and reporting around existing cybersecurity compliance software. Security compliance automation supports the audit process but does not guarantee compliance.
04
Third-Party Cyber Risk Management
Coordinate questionnaires, evidence requests, review findings, exceptions and renewal checks for vendors and partners.
Connect each issue with its vendor owner, affected service, contract context and required approval.
05
Security Policy Automation
Help employees and reviewers find approved policies, procedures and control guidance. Keep answers grounded in current, permissioned documents.
Route policy exceptions and proposed changes to the correct owner. Do not let an AI answer replace formal legal or compliance review.
06
Cyber Risk Reporting
Turn approved security, remediation and workflow data into dashboards, incident reports and management presentations.
Provide each stakeholder with the right level of detail. Keep the source and status of important findings visible.
Human Control
Incident Response Automation With Human Control
Automated incident response should not mean uncontrolled action. It should automate repeatable work while escalating uncertain or high-impact decisions.
Response stage
What Mimasa can support
Human control
Intake
Receive an alert or case from a configured source
Confirm source and scope
Enrichment
Gather approved identity, asset and business context
Review missing or conflicting evidence
Analysis
Prepare a summary, timeline and recommended next step
Validate the interpretation
Coordination
Assign tasks, notify owners and track deadlines
Change priority or ownership
Response
Invoke a permitted action or existing playbook
Approve sensitive actions
Closure
Assemble the record, evidence and report
Confirm closure and lessons learned
This incident response orchestration joins technical and business work. It can also maintain a clear record of who approved each action.
AI incident response depends on available evidence. Mimasa should show uncertainty and missing inputs rather than invent a conclusion.
Security operations automation can connect recurring SOC work with the wider enterprise. Mimasa focuses on the hand-offs that occur after a security signal needs context, ownership or approval.
Mimasa is not a SOC automation platform for native detection or endpoint control. It adds customizable agents, workflows and business context around the tools that provide those functions.
It Can Support
Case intake and enrichment.
Evidence and timeline preparation.
Owner and task assignment.
Service-level monitoring and escalation.
Vulnerability follow-up.
Policy and compliance evidence requests.
Cross-functional incident coordination.
Operational dashboards and executive reports.
Approved Enterprise Information Can Include
Asset ownership and criticality.
Employee role and department.
Application and service dependencies.
Vendor and contract information.
Facility, plant or regional responsibility.
Open tickets and remediation status.
Applicable policies and escalation paths.
Business Context
Connect Security Risk With Business Context
A technical severity score does not always explain business impact. Teams also need to know what the affected identity, asset or service supports.
The resulting context helps a person make a better-informed decision. It does not replace technical validation or formal risk assessment.
One Governed Flow
Cyber Security Automation Tools In One Governed Flow
Organizations often use separate cyber security automation tools for detection, response, ticketing, identity and reporting. Important context can remain divided across those systems.
Mimasa can act as an agentic security platform across selected processes. Unlike a fixed playbook alone, an agent can gather context and handle defined variations. Unlike an open-ended agent, a governed workflow sets limits and approval points.
Mimasa is not a replacement security orchestration platform. It can complement existing orchestration and response investments with enterprise data and custom workflows.
It Brings Together
Data and document extraction.
Purpose-specific AI security agents.
Business rules and deterministic checks.
Human approvals.
Tasks and collaboration.
Dashboards, reports and presentations.
Activity and decision records.
Custom Agents
Build AI Agents For Cybersecurity Tasks
AI agents for cybersecurity should have narrow responsibilities. Each agent should know what information it can access and which tools it can use.
AI security agents can pass work to one another within a controlled process. A human can review the combined result before a sensitive action.
An incident-summary agent that cites available evidence.
A context agent that retrieves identity and asset details.
A vulnerability coordinator that follows up with owners.
An evidence agent that checks required audit documents.
A policy assistant that answers from approved sources.
A reporting agent that prepares recurring security reviews.
Teams Can Use Gosthi To
Share a structured incident packet.
Discuss available evidence in context.
Assign technical and business actions.
Request an approval or policy exception.
Track deadlines and escalations.
Preserve the decision and activity history.
Coordination
Coordinate Response Through Gosthi
Cyber incidents often require decisions outside the security team. Gosthi provides a shared workspace for people, agents, tasks and evidence.
Security, IT, legal, HR, compliance and business owners can work from the same current context. Access remains subject to the configured roles and permissions.
Security automation can access sensitive systems and data. Every agent and workflow needs clear boundaries.
The organization decides what an agent can read, recommend and execute. High-risk actions can remain approval-gated.
An on-premises deployment supports data-residency requirements. It still requires the customer's normal infrastructure hardening, secrets management and security controls.
Locally hosted models where required and configured.
Getting Started
Start With One Controlled Security Workflow
Start with a repetitive process that already has clear owners and rules. Define the boundary before adding AI.
This approach makes enterprise security automation easier to validate and govern.
1Choose an incident, vulnerability, evidence or policy workflow.
2List the systems, documents and people involved.
3Define which data each agent can access.
4Separate recommendations from executable actions.
5Add approval steps for sensitive decisions.
6Test normal cases, missing evidence and exceptions.
7Monitor the results before expanding autonomy.
Frequently Asked Questions
Common questions about cybersecurity automation with Mimasa AI.
Cybersecurity automation uses software to complete repeatable security tasks. These can include enrichment, assignment, evidence collection, escalation, approved actions and reporting.
Agentic AI cybersecurity uses AI agents to gather context, reason through defined tasks and use approved tools. Governance determines what each agent can access and when a person must approve an action.
No. Mimasa complements existing security systems with custom agents, business context, workflows, collaboration and reporting. The existing stack remains responsible for its native detection and response functions.
Incident response automation connects repeatable response steps such as enrichment, task assignment, escalation, approval and reporting. Analysts still validate evidence and make high-impact decisions.
Mimasa can automate configured response workflows and invoke permitted actions. Sensitive actions can require human approval. Available capabilities depend on the connected systems and permissions.
Mimasa can enrich selected cases, coordinate tasks, collect evidence and generate reports around the SOC workflow. It does not replace native threat detection, endpoint control or a mature SOAR platform.
Mimasa can connect findings with owners, deadlines, evidence and approval workflows. A remediation action can run only through a configured and permitted integration.
Yes. It can request evidence, track missing items and prepare structured review packs from approved sources. It supports the compliance process but does not certify or guarantee compliance.
Yes, when the data sources and permissions are configured. Mimasa can add identity, asset, employee, vendor or operational context to help reviewers understand potential business impact.
Yes. Mimasa can create purpose-specific agents for tasks such as context retrieval, incident summaries, evidence checks, policy assistance and reporting.
Yes. Mimasa supports cloud, private-cloud and on-premises deployment. Locally hosted model options can be configured where data sovereignty requires them.
Bring an incident, vulnerability, evidence or policy process. We will map the systems, build the required agents and keep sensitive actions under human control.