A new report from the Enterprise Strategy Group examines the challenges organizations face in balancing the rapid innovation of AI with the need for robust security and risk management. While most companies are exploring or actively using large language models for proprietary use, many are struggling to implement effective guardrails to protect their applications, data, and systems. The report highlights the need for new security solutions to mitigate risks unique to AI.
An effective AI security solution should provide:
- Data and intellectual property protection: To prevent sensitive information from being exposed.
- Protection against misuse: To stop bad actors from using AI for malicious purposes.
- Safe and responsible AI: To ensure AI models do not produce harmful or biased outputs.
- Secure AI-powered applications: To protect the applications that are built using AI.
- Secure AI platforms: To secure the underlying infrastructure that AI runs on.
Learn more about the tools designed to help organizations manage risk across the entire AI lifecycle, offering the capabilities to enable organizations to securely build, deploy, and run their AI workloads.