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Platform Terms Glossary
Task Management
Task Management explained Creating Tasks Setting up Task NotificationsGiving permissions to team members
Organization
Working together in KertosInviting UsersCreating rolesAssigning Data Source AccessCreating Departments and Assigning Users
Integrations
Discovery
Tasks
Device Management
Human Resource Information Systems
Inventory
Inventorization of vendorsInventorization of systemsInventorization of assetsEU AI Act: Inventorization of AI use cases
Risks
Managing risksApplying controls to risks
Trust Center
Setting up your trust center
Incidents
Reporting incidents
KAI
KAI explainedPrinciples of AI at KertosInteracting with KAI
Compliance
Frameworks explainedManaging & implementing controlsCreating & managing policiesCompleting & assigning trainings
Privacy Management
Creating a RoPACreating TOMsCreating DPIAs
Data Subject Requests
API Reference
Ingress API Docs for DSRs Webhook API Docs for DSRs

KAI explained

KAI (Kertos AI) provides all users of Kertos platform with intelligent guidance and detailed, sector-specific responses. It is designed to help customers prepare for data privacy and information security standards(e.g., ISO 27001, GDPR, etc), making the process more efficient by offering real-time, accurate answers related to compliance. This reduces the need for manual research, accelerating certification readiness.

 

Purpose

Kertos develops a SaaS platform for data protection, information security, and compliance. KAI (Kertos Artificial Intelligence) is an AI-driven assistant integrated into the platform to reduce user workload by providing intelligent guidance and targeted answers.

 

Definition

KAI is based on the ISO/IEC 22989 definition of an AI system: an engineered system that generates outputs (content, forecasts, recommendations, decisions) for human-defined objectives.

 

Implementation

KAI functions as a copilot using generative AI (like large language models) to assist users with complex tasks:

• Natural Language Input: Users interact using natural language or code.

• Human Control: Users maintain control over final decisions.

• Scalability: KAI adapts to task complexity, providing detailed responses to complex queries.

 

Application

KAI is powered by language models (LLMs) that process input, identify patterns, and deliver structured insights. It helps users prepare for compliance with standards like ISO 27001 and GDPR by providing real-time, accurate answers.

 

Domain and Hosting

KAI supports data protection, cybersecurity, and compliance. It’s hosted on AWS infrastructure in Europe, ensuring GDPR compliance. Future data transfers to the US will comply with the EU-US Data Privacy Framework.

 

Provider and Development

We (Kertos GmbH) developed KAI. The AI models (Claude 3 and Claude 3.5 by Anthropic) are integrated via Amazon Bedrock, offering high-performance text generation and contextual understanding.

 

AI Models

KAI uses Claude 3 and Claude 3.5 with the following features:

• Language Processing: Handles complex natural language queries.

• Text Generation: Produces detailed, context-aware responses.

• Contextual Understanding: Adapts to industry-specific compliance needs.

 

ModelMax OutputTraining Data Cut-offStrengths
Claude 3.58192 tokensApr 2024Highest intelligence and capability
Claude 34096 tokensAug 2023Balanced for speed and accuracy

 

Data and Algorithms

• Training: Models trained on large datasets from the internet and third-party sources.

• User Data: KAI does not use user data for training unless feedback is explicitly provided.

• Retention: User data (prompts, output, feedback) is stored for up to one year.

 

Purpose and Use

KAI supports decision-making for compliance with ISO 27001 and GDPR. It helps legal teams, data protection officers, and security experts manage privacy and security processes efficiently.

 

Maturity and Monitoring

KAI is in beta, with performance monitored through:

• Factual Correctness – Accuracy of compliance-related answers.

• Relevancy – Alignment with user queries and context.

• Completeness – Coverage of all query aspects.

• Response Time – Answers delivered within 50 seconds.

• Conciseness – Clear and focused responses.

 

Security and Risk

Kertos monitors KAI for potential threats:

• Evasion Attacks: Attempts to manipulate responses through altered inputs.

• Poisoning Attacks: Corrupting training data to alter AI behavior.

• Privacy Attacks: Attempts to extract sensitive information.

 

Ethics and Bias

Kertos addresses AI bias through transparency and user awareness. KAI does not use data that identifies individuals by age, gender, or other personal attributes.

 

Environmental Impact

KAI runs on AWS, which aims for net-zero carbon emissions by 2040.

 

EU AI Act Classification

KAI is not classified as a high-risk or prohibited AI system under the EU AI Act.

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