What did we learn from the MakoLab “Mastering AI chatbot security” webinar?
AI chatbots are becoming an integral part of many companies’ operations, changing interactions with clients and customers and streamlining in-house processes. However, their increasingly complex architecture and ubiquity are bringing new cybersecurity challenges in their wake. To answer the burning questions this has triggered, we organised a webinar entitled “Mastering AI Chatbot Security”. During a lively panel discussion, MakoLab experts Maciej Grala, Jacek Popko and Maciej Stanisaławski, along with Piotr Boetzel of Amazon Web Services, shared their knowledge and experience with the audience.
It gives us great pleasure to inform you that, if you missed the event itself, the recording is now available on our YouTube channel, offering an excellent opportunity to expand and deepen your understanding and know-how regarding the crucial aspects of security in this era of smart assistants.
Don’t miss this chance to gain access to our experts’ comprehensive knowledge. Watch the recording now:
What did the event cover?
The focus of our “Mastering AI Chatbot Security” webinar was on the most vital areas defining the future of artificial intelligence (AI) security in the context of communication. Our panellists, all of them seasoned experts in the fields of AI and cybersecurity, presented their views on current challenges and the most effective strategies for mitigating or avoiding them.
The role of large language models (LLMs)
One major thrust of the discussion was the role of LLMs like the GPT family of models, which constitute the backbone of cutting-edge chatbots, and how the vast data sets used to train them affect their capabilities. Next up on the agenda was the issue of security, including potential errors, biases and vulnerability to manipulation. Having tackled that, the panel moved on to address LLMs’ growing ability to generate humanlike responses, which often exceeds the Turing Test Threshold, the impact this has on trust and the authenticity of interactions, and the way it creates new forms of attack.
Threats and countermeasures
The programme also encompassed a detailed dive into cybersecurity issues that relate specifically to chatbots, with the speakers discussing a number of threats and solutions.
Machine learning (ML) risks
These include adversarial attacks, where minor changes to input data can manipulate or completely alter the operation of an AI model, leading to incorrect responses or security breaches.
Data protection
Our panellists emphasised the importance of security measures devoted to the protection of sensitive user data processed by chatbots. The discussion included methods such as data encryption, anonymisation (tokenisation) and data management processes that ensure compliance with the applicable regulations and minimise the risk of leaks.
Technical strategies
This part of the agenda saw the experts presenting the security measures that every organisation deploying chatbots should consider. They include implementing rigorous access control, carrying out regular security audits of chatbot systems and employing specific techniques against attacks on ML models, with adversarial training being one example.
The world of regulations and standards
Another of the most critical aspects of the discussion was the topic of regulation and how to navigate this inarguably slippery ground. Our panellists explained how the key legislation, such as the EU’s Artificial Intelligence Act, shapes the requirements for the design and deployment of AI systems, classifying applications on the basis of their risk level. The discussion also pinpointed how crucial international information security standards like ISO 27001 are to building solid security management frameworks, which are often supported by secure cloud platforms such as AWS Bedrock.
In closing
If you’re seeking to understand the full scope of AI chatbot security challenges and their solutions, then the recording of the MakoLab “Mastering AI Chatbot Security” webinar is definitely required watching!
Watch now to crack the mysteries of AI chatbot security!
Translated from the Polish by Caryl Swift
Katarzyna Warmuz
Content Marketing Specialist
