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Not only is artificial intelligence changing how businesses operate; it's also changing how cybercriminals attack. As organizations rush to adopt AI systems, they face new security risks that traditional defenses can't handle.

People interact with Artificial Intelligence (AI) in many ways, but most commonly through written prompts, which is the method that's also the most familiar avenue for basic prompt-hacking techniques. However, the real concern for organizations lies beyond these simple exploits, with sophisticated attacks targeting enterprise AI systems. In this article, we'll explain how an attacker can weaponize AI assistants to extract proprietary data, manipulate decision-making, and even infiltrate corporate networks.

If you thought developing and implementing your AI system was a challenge, just wait until you attempt to ensure your AI system complies with conflicting international laws simultaneously.

As artificial intelligence continues to become widely embedded in critical business decisions, strategies, and processes, it increasingly faces growing scrutiny from regulators, customers, and the public. While AI offers unprecedented opportunities for operational enhancements and innovation, it also introduces new risks.

Colorado is leading the charge of U.S. AI policy with the Consumer Protections for Artificial Intelligence (SB24-205) law. This law, commonly referred to as the Colorado AI Act (CO AI Act), is the first enacted comprehensive state law regulating high-risk AI systems. Signed in May 2024, it sets a precedent for balancing innovation with consumer protection through requirements on transparency, accountability, and fairness.

The S&P study on Generative AI asserts that, “The percentage of companies abandoning the majority of their AI initiatives before they reach production has surged from 17% to 42% year over year, with organizations on average reporting that 46% of projects are scrapped between proof of concept and broad adoption.”

Organizations are under increasing pressure to secure and govern their AI systems responsibly. Fortunately, industry frameworks are stepping in to help, including the Cloud Security Alliance (CSA) Artificial Intelligence Controls Matrix (AICM), which maps to the ISO 42001 standard for AI management systems. Together, these frameworks provide a powerful roadmap for aligning AI governance with established security and compliance practices.

As the need for innovative artificial intelligence grows, regulatory bodies are working quickly to create frameworks that balance acceleration with safety, accountability, and trust. Notably, the European Union’s AI Act is poised to reshape how organizations approach AI governance, especially when it comes to general-purpose AI (GPAI) models.