AI vulnerabilities require AI security specialists. We created a unique team of AI scientists, Cybersecurity (Blueteam), and Ethical Hacking (Redteam) specialists with professionals from Ackcent, Urvin.AI, and the Institute for Security and Open Methodologies (ISECOM) to bring the qualified, experienced professionals you need. AI Security provides assurance that your AI applications, machine learning solutions and their APIs are suitable, trustworthy, private, and secure.
AI Attack Surface
The Attack Surface for the AI Development Lifecycle is wide and deep. It can contain the data, the processes, the systems, the people, and the communications through the entire supply chain. Where security awareness is used to manage the security of processes and communications, this is not the case with AI where each component of the process needs to be assessed and protected.
Benefits of AI Security Services
Gain assurance that your AI applications, automated decision system, APIs, data processing and storage, and supporting infrastructure are protected from attacks. Receive actionable recommendations to enhance security and privacy. Reduce your risk, shrink your attack surface, and improve operational efficiency. Maintain client, employee and business partner confidence. Manage compliance objectives. Industry certification in the security and privacy of data in your AI project.
The AI Security Team
AI vulnerabilities require AI security specialists. We created a unique team of AI scientists, Cybersecurity (Blueteam), and Ethical Hacking (Redteam) specialists with professionals from Ackcent Security, Urvin.AI, and the Institute for Security and Open Methodologies (ISECOM) to bring the qualified, experienced professionals you need. They are the experts to help you keep up with an ever-changing AI security landscape and test your APIs, applications, infrastructure and even complete AI projects. We can elevate your AI security profile, perform AI Suitability tests, reduce risk and meet compliance with applicable laws and industry mandates. We provide organizations with the knowledge, expertise and efficiency needed to conduct thorough security, privacy, efficiency, and ethical evaluations of their complete AI environment. We can help you identify the gaps that expose you to risk and keep your AI from scaling in production.
AI Vulnerability Management
Most AI vulnerabilities cannot be found the way cybersecurity vulnerabilities are found. AI vulnerabilities are determined by characteristics such as the availability of datasets, the construction of datasets, the design and construction of AI models, decision-making rules, thresholds, and monitoring, and technical characteristics within the collection, training, retraining, and merging of data that would make an attack easier to execute through the supply chain. Unlike most cybersecurity attacks, attacks on AI need never physically compromise the original dataset or model at all.
Unlike cybersecurity, vulnerabilities that allow for AI attacks cannot be patched as they are generally not the result of a programmer or user error. Therefore remediation requires specialists who identify and rectify the more intrinsic nature of these AI vulnerabilities within the algorithms and models themselves and their interaction with data.