SECURITY COST TAG OF GENERATIVE AI
SECURITY COST TAG OF GENERATIVE AI
The report highlights the rising enterprise adoption of Generative AI (Gen-AI), emphasizing its benefits alongside increasing cybersecurity risks and hidden costs. Key threats include model theft, data poisoning, injection attacks, and software vulnerabilities. To secure AI, enterprises must invest in inference attack protection, contextualization, data encryption, continuous testing, and workforce training. A hypothetical analysis shows a $100 AI tool may require $50 in security investments. The report advises organizations to assess AI security risks, implement multi-layered defenses, and develop industry-wide security benchmarks using frameworks like NIST.
