Preventing Prompt Injection in Enterprise AI Workflows

Preventing Prompt Injection in Enterprise AI Workflows targets a $3.3B = 40,000 large enterprises x $60,000 ACV + 100,000 mid-market orgs x $6,000 ACV + 300,000 SMBs x $1,000 ACV. Buyer counts are companies with production LLM use and material data/regulatory risk. total addressable market with low saturation and a year-over-year growth rate of 35%.

Key trends driving demand: LLM adoption growth -- more production LLMs increase attack surface and frequency of prompt handling, raising demand for defenses.; Adversarial research acceleration -- public prompt-injection techniques drive enterprise urgency to harden deployments.; Shift to composable AI pipelines -- standardized orchestration layers create clear integration points for runtime protections..