Generative AI Data Exposure Risks in Enterprise Deployments
Most enterprises using AI lack governance to prevent sensitive data leaks.
Amara Mbeki
Section
6 stories in AI Security & Threat Detection.
Most enterprises using AI lack governance to prevent sensitive data leaks.
Researchers map 47 distinct prompt injection techniques across three dimensions of LLM attacks.
Enterprises securing AI deployments need runtime controls, not just governance frameworks.
Rapid MCP adoption has outpaced security controls in production systems.
Enterprises are flying blind to shadow AI usage despite detection tools existing at every layer.
Indirect injection from retrieval and tool outputs now dominates production AI agent attacks.