What it is
A module for companies already using ChatGPT, copilots, automations or internal models and needing clear rules for data, vendors, permissions, evidence and accountability.
A module for companies already using ChatGPT, copilots, automations or internal models and needing clear rules for data, vendors, permissions, evidence and accountability.
Problem
Teams start using AI tools to accelerate operations, development, support or analysis. Risk appears when there is no shared criteria on which data can be used, who approves vendors, how critical use cases are documented or what happens after an incident.
AI tools are used without policy or clear owners.
Customer data or sensitive information may be shared without shared criteria.
Vendors, copilots and automations are not inventoried.
Enterprise customers may ask questions the company is not ready to answer.
Solution
Talsoft helps organize use cases, risks, baseline rules, RACI, vendors and evidence so AI can be used with clearer boundaries and less exposure.
Inventory of AI tools and use cases.
Acceptable-use policy and data handling rules.
Criteria for vendors, permissions and approvals.
Initial runbook for AI-related incidents or data exposure.
In summary
A module for companies already using ChatGPT, copilots, automations or internal models and needing clear rules for data, vendors, permissions, evidence and accountability.
SMBs, startups, SaaS and fintechs under customer, audit, cyber insurance, growth or evidence pressure.
It does not promise total security, certification, audit approval, insurance approval or absence of incidents.
Trust reference
Talsoft supported Rivkin Securities in Australia through a six-month program to formalize its cybersecurity structure, including an ISO 27001-aligned ISMS, live risk register, incident response, centralized monitoring and external PenTest.
View Rivkin casePublished testimonials
Short references on professionalism, communication and support in cybersecurity work. Every project depends on its scope, context and objectives.
"Excellent service, very professional, with fast and clear responses."
"Communication was fast and contacting Talsoft was easy."
"The service is very detailed and the report is clear. Very good report."
"Speed, efficiency and results."
Testimonials are qualitative references. They do not imply guaranteed outcomes or replace a context-specific assessment.
Feedback patterns
Client comments reinforce a core idea: the value is not only finding risks, but explaining priorities, being available and turning findings into concrete next steps.
Feedback highlights audits and assessments that end with concrete workstreams and improvements to implement.
Comments repeatedly mention clear responses, fluid contact and easy coordination during the project.
Several comments value team involvement when there was operational pressure or an active security issue.
Feedback references detailed and clear reports that help business and technical teams understand what to do next.
Talsoft publishes qualitative patterns and short testimonials. Logos, metrics, architectures and sensitive details are not published without explicit authorization.
Free entry point
When booking, you complete a short questionnaire. Based on that input, Talsoft prepares a first read and a mini diagnostic report to orient the next step without over-scoping the decision.
We review tools, use cases, involved data and external pressure.
We classify risks by impact, data sensitivity and process criticality.
We define rules, owners, evidence and next steps connected to the maturity roadmap.
Initial inventory of tools and use cases.
AI risk matrix.
AI acceptable-use policy.
RACI for approval and follow-up.
Vendor and data checklist.
Initial incident or data-exposure runbook.
Less informal AI use with sensitive data.
Clearer rules for technical and business teams.
Better answers to enterprise customer AI questions.
Practical rules without blocking legitimate adoption.
Initial evidence for audits or third-party reviews.
Connection with the Maturity Program and VIP support.
Business impact
The goal is not to block AI or promise absence of risk. It is to know what the company allows, limits, monitors and can evidence.
Reduces isolated tool decisions.
Organizes allowed and restricted data.
Improves customer and leadership conversations.
Prepares continuity if AI usage scales.
No. Talsoft organizes cybersecurity risks, controls and evidence; specific legal or regulatory matters should be validated with appropriate advisors.
Yes. Common tools can still create risk when data criteria, permissions and use cases are unclear.
No. It reduces improvisation and organizes controls, but does not eliminate risk or guarantee external outcomes.
The first step is not buying another tool. It is understanding which risk exists, which evidence is missing and what decision should be made now.