Data can leave through LLM prompts, responses or agent actions. Learn how each path works and what actually stops it.

Discover the seven layers of prompt poisoning protection every AI application needs, from input validation to endpoint monitoring.

Zero Trust means never trust, always verify. Learn how this principle applies to shadow AI and closes the gaps legacy security misses.

Shadow AI applications share five distinct traits, from unapproved access to free-text input. Learn what to look for and why it matters.

Learn how to avoid shadow AI in enterprises through continuous discovery, fast-tracked approvals and endpoint-level monitoring.

Keyword and regex-based blocking cannot secure generative AI use. Learn why it fails and what context-aware monitoring does instead.

Learn how to detect and prevent adversarial AI attacks through behavioral monitoring, model validation, data security and governance.

Explore recent developments in AI jailbreaking, from jailbreak-as-a-service to attacks on enterprise AI assistants and autonomous agents.

Discover how AI security posture management differs from traditional security management and why conventional tools fall short.

A practical checklist for AI security posture management, covering AI discovery, monitoring, risk assessment and governance best practices.

Explore the main security concerns related to agentic AI, from excessive permissions to Shadow AI and why continuous monitoring is essential.

Learn the key cybersecurity risks posed by agentic AI and the practical steps organizations can take to strengthen governance and data protection.