Best Practice

AI red teaming, protect your AI systems

Reply presents a red teaming approach to ensure the security of AI-based solutions adopted by companies, promptly anticipating and counteracting emerging threats.

Generative AI: challenges and opportunities for companies

Artificial intelligence, and in particular Generative AI, is increasingly being integrated into the products and services we use every day, marking a significant turning point in their evolution. This progress not only arouses interest and curiosity among consumers, but also makes services more accessible thanks to systems equipped with natural language communication interfaces.

Companies that implement generative AI systems show themselves to be cutting-edge, efficient and able to deliver personalised and optimised experiences. However, it's important to recognise the technological challenges, and cybersecurity risks, that accompany the implementation of intelligent systems.

Threats to cybersecurity

Artificial intelligence and Generative AI systems present new cybersecurity vulnerabilities compared to traditional digital systems. Some examples are attacks aimed at manipulating AI models, risks associated with the use of sensitive data during model training, and the malicious use of intelligent systems for the dissemination of false or misleading information.

In response to these challenges, on December 8, 2023, European institutions reached a provisional political agreement on the world's first law on artificial intelligence: the AI Act. This legislation aims to regulate the responsible use of AI technologies, establishing clear guidelines to ensure transparency, security and respect for ethics in the implementation of these advanced technologies.

AI red teaming with Reply

It therefore becomes essential to organise security assessments to identify and analyse risks and vulnerabilities in AI systems, helping companies to prevent possible incidents. In this context, Reply presents a specific red teaming approach for intelligent systems, based on Machine Learning algorithms, Large Language Models or other types of data generation algorithms. This is structured as follows:

1. Threat modeling

This step involves the analysis of the technologies and infrastructure of interest, to identify potential threats and attack vectors, thanks to the knowledge of the most recent attacks published in the literature and following frameworks of bodies such as OWASP and MITRE. These are considered both risks specific to the IT infrastructure, but also specific risks, such as the possible acceptance of adversarial inputs and metaprompts, the possibility of carrying out model poisoning, model stealing, or problems due to the collection of training data, or even leaving excessive action permissions to the intelligent system.

2. Design and execution of attacks

3. Mitigation of problems encountered

4. Monitoring and updating

Reply's support for the security of AI solutions

Thanks to its solid expertise in cybersecurity and AI, Reply ranks as an ideal partner for companies interested in protecting their digital assets.

We offer specialized vulnerability assessment and security testing services through red teaming strategies, in order to assess and mitigate the specific risks of intelligent systems based on Generative AI.

SECURE YOUR AI SYSTEMS

Try our AI red teaming approach to protect your AI solutions, anticipating and neutralizing emerging threats.

Spike Reply

Spike Reply specializes in security advisory, system integration and security operations and supports its clients from the development of risk management programs aligned with corporate strategic objectives, to the planning, design and implementation of all the corresponding technological and organizational measures. With a wide network of partnerships, it selects the most appropriate security solutions and allows organizations to improve their security posture.