Zac Amos, ReHack

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More AI is changing the way businesses operate. While much of this shift is positive, it introduces some unique cybersecurity concerns. Next-generation AI applications like agentic AI pose a particularly noteworthy risk to organizations’ security posture. What is agentic AI? Agentic AI refers to AI models that can act autonomously, often automating entire roles with little to

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their security posture, they must alleviate cybersecurity risks. Federated learning might be able to do both. What is federated learning? Federated learning is an approach to AI development

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Hackers are waiting for the moment quantum computing breaks cryptography and enables the mass decryption of years of stolen information. In preparation, they are harvesting even more encrypted data than usual. Here is what businesses can do in response. Why are hackers harvesting encrypted data? Most modern organizations encrypt multiple critical aspects of their operations. In

How can data scientists, AI engineers and cybersecurity professionals ensure their AI system is secure during development and avoid backlash?Read More