Reply presents a red teaming approach to ensure the security of AI-based solutions adopted by companies, promptly anticipating and counteracting emerging threats.
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.
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.
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:
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.
In this phase, attack strategies are developed and implemented to expose vulnerabilities in the implementation, configuration or response of the target system. It combines traditional and specific attack techniques and procedures for AI and Generative AI systems, making use of the expertise of offensive security specialists and experts in machine learning systems.
After identifying the vulnerabilities, a set of solutions is proposed and assistance is provided in the implementation of corrective actions.
This phase includes monitoring plans and periodic assessments to identify new vulnerabilities. Also including technical training ensures customers stay up to date on new threats and security best practices.
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 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.