Solution
LLM Incident Response for enterprise AI security.
Investigate blocked, flagged, and risky AI interactions with audit-ready logs. PromptWall turns this problem into enforceable runtime controls across prompts, sensitive data, provider routes, and audit evidence.
Control
Policy first
Map every AI interaction to allow, flag, mask, or block decisions.
Data
DLP aware
Detect sensitive prompts, regulated data, and document leakage risk.
Evidence
Audit ready
Keep explainable records for security, risk, and compliance reviews.
Traffic
Gateway aligned
Apply controls before prompts reach external model providers.
Problem definition
The problem buyers need to solve
AI incidents are hard to investigate when teams lack prompt-level records.
Risks
Why this becomes a security and governance issue
Security teams may not know what data was sent, what was changed, or why a policy triggered.
PromptWall solution
PromptWall applies policy where the AI interaction happens.
PromptWall combines prompt firewall, AI DLP, gateway control, and audit evidence so teams can allow, flag, mask, or block based on business risk.
Technical explanation
How the control path works
PromptWall records event previews, decisions, risk categories, and audit metadata for triage.
Use case
A practical enterprise scenario
A SOC team can review a flagged prompt event and understand the enforcement path.
Review LLM Incident Response with PromptWall
Bring one workflow and one policy requirement. We will map it to PromptWall controls and audit evidence.
Frequently asked questions
What is LLM Incident Response?+
LLM Incident Response is a PromptWall solution path for buyers who need to control AI prompt, data, provider, and governance risk around this problem.
Does this require replacing existing security tools?+
No. PromptWall complements existing controls by adding AI-specific inspection, DLP, gateway, and audit capabilities at the prompt layer.