Kontent.ai’s commitment to Responsible AI

Aligned with Responsible AI best practices 

• We follow the NIST AI Risk Management Framework 
• We utilize a toolkit including the HAX framework to build AI in a responsible way 

Day 1 Compliance with the EU AI Act 

• We commit to be compliant with the EU AI Act from the first day of its applicability 
• We follow the best practices of capAI

Our principles of Responsible AI 

Data privacy and security

• We use AI with guaranteed customer data privacy and security 

Responsibility model 

• We provide a clear shared responsibility model over AI 

AI governance 

• We ensure AI governance with industry best practices, laws, and regulations 

Responsible use 

• We evangelize the benefits of AI and its responsible use 

Threat landscape of AI 

With AI being the new big topic, there are concerns about how to achieve trust and security in pace with the technology development. As new attacks continue to emerge, organizations need to be ready to address them head-on. Let’s now explore some common attacks on AI and the approach of Kontent.ai as the industry’s first AI-powered CMS. 

Common attacks on AI 

AI systems have introduced new attack vectors, allowing attackers to use various techniques to obtain sensitive information or abuse AI for purposes not designed for.  

Some common attacks on AI systems include: 

1. Prompt injection: This type of attack involves carefully crafted instructions that affect AI decision-making and navigate the attacker’s instructions. For example, an attacker may instruct the AI to send all subsequent communication to the attacker’s server. 
2. Model exfiltration: Models are built on a massive amount of data, some of which may be sensitive. If this information is leaked, it could lead to significant privacy breaches for individuals and companies whose data was used in training the model. 
3. Data poisoning: AI system providers carefully select the data used for training their AI. However, if the AI is capable of self-learning, an attacker can teach it to spread malware in response. For example, an AI system may be manipulated to append a malicious link at the end of each response, leading users to phishing pages. 

To ensure the safety of these systems, it is crucial to include security in the development and integration lifecycle. 

Kontent.ai approach 

As the first headless CMS with native AI capabilities on the market, we take extra care about the responsible use of AI in both our internal processes and product.   

Our goal is to integrate AI in a way that treats all users fairly and without discrimination and maintains a clear chain of responsibility across the whole AI lifecycle. We aim to make AI explainable and understandable to both employees and customers, all within a safe environment that properly protects user data and privacy. 

Explore how we do it in this white paper.  

Want to know why securing AI is so important? Find out more here.

At Kontent.ai, we recognize the importance of AI governance and have established a robust framework to guide both our internal use and product deliveries. 

Learn more about AI governance in Kontent.ai here. 

Explore how Kontent.ai addresses Responsible and Secure practices in AI development here. 

 Kontent.ai is proud to announce that our AI capabilities meet the requirements set forth by capAI. Our commitment to ethical AI is reflected in the following key strengths: 

• Robust governance: Kontent.ai’s governance system ensures that all operations align with our mission and vision, actively involving executive team members and internal committees. 
• Tested AI models: We employ thoroughly vetted, reviewed, and tested AI models to maintain the highest standards of quality and security. 
• Secure model operations: Our models operate in a sandboxed environment, ensuring that customer data remains private and is never used to enrich or train the models themselves. 

Discover how Kontent.ai ensures capAI compliance here. 

The NIST AI RMF offers a playbook with suggested actions for achieving the outcomes laid out in the AI RMF Core, which includes four functions: Govern, Map, Measure, and Manage. These functions provide a comprehensive approach to AI risk management, ensuring that policies, processes, and practices are transparent, effective, and aligned with organizational risk priorities. 

• Govern – Policies and structures for AI risk management and align them with the legal, ethical, and societal aspects of AI. 
• Map – Identifies the AI risks, impacts, objectives, stakeholders, data, and scope in a specific application context. 
• Measure – Assesses the risks and monitors the performance and trustworthiness of the AI system using various methods and metrics. 
• Manage – Implements and maintains the policies and procedures for managing AI risks throughout the AI lifecycle and provides training and education for the staff and partners. 

Find out how Kontent.ai complies with NIST AI RMF here. 

Artificial intelligence has become a global phenomenon, largely because of the advancements in generative AI and its widespread application. As organizations actively explore the capabilities of this technology, there are rising concerns about its impact, starting with the question of whether it’s even secure to use.

As the first headless CMS with native AI capabilities on the market, we prioritize the responsible use of AI in both our internal processes and product. We aim to: 

• Integrate AI to ensure fair and non-discriminatory treatment for all users 
• Maintain a clear chain of responsibility throughout the entire AI lifecycle 
• Make AI understandable to both employees and customers 
• Ensure a safe environment that protects user data and privacy 

With our enterprise-grade security, organizations worldwide can rest assured they always safeguard their brand and protect their reputation.