AI Security Expert Warns: Robust Concepts Needed Beyond Basics
As AI becomes increasingly integral to businesses, ensuring robust security is paramount. Christian Scharrer, Enterprise Architect and CTO Ambassador at Dell Technologies Germany, stresses the need for comprehensive security concepts that extend beyond basic measures.
Scharrer advises companies to secure AI development, training, and operation from the outset. This involves working closely with security specialists, AI experts, and developers. Key security measures include data validation and purification, use of guardrails to monitor inputs and outputs, continuous model monitoring, and securing the entire hardware and software supply chain.
Attackers target AI models due to the substantial work and investment involved in their development. They employ tactics such as model theft, data poisoning, model inversion, perturbation attacks, prompt injection, rewards hacking, DoS and DDoS attacks, and supply chain compromise.
Scharrer's insights underscore the necessity for businesses to implement robust security measures tailored to AI. This includes validating data, using guardrails, continuous monitoring, and securing the supply chain. As AI becomes more prevalent, so does the need for proactive security strategies.
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