Codebasing

Researchers map 47 distinct prompt injection techniques across three dimensions of LLM attacks.

Enterprises securing AI deployments need runtime controls, not just governance frameworks.

How to monitor LLM systems when traditional APM tools can't track tokens or hallucinations.

Rapid MCP adoption has outpaced security controls in production systems.

Majority of workers hide AI use, but companies lack the visibility to govern what they cannot see.

Falling AI prices triggered spending explosions that budgets couldn't predict or control.

Enterprises need five telemetry layers to see what autonomous agents actually decide and why.

Most AI observability tools miss what enterprises actually need to govern and audit.

Security operations need observability built for threats, not model performance metrics.

Tracing every tool call and decision reveals why agents fail, not just that they do.

Most boards receive AI governance theater instead of the risk disclosure they actually need.