AI Governance

Bifrost centralizes PII redaction at the gateway layer, giving regulated industries consistent data protection across every LLM provider without per-application enforcement logic. Sensitive Information Disclosure is ranked LLM02:2025 in the OWASP Top 10 for LLM Applications, and the risk surface keeps expanding as AI agents access more organizational

Model allowlists, per-developer budgets, and tool restrictions for AI coding agents are infrastructure problems. Bifrost enforces all three at the gateway layer across every Claude Code and Cursor session. Anthropic's own enterprise deployment data puts the average Claude Code cost at $13 per developer per active day,

Bifrost enforces prompt injection defense at the gateway layer across every LLM provider and MCP tool, with dual-stage input/output guardrails, CEL-based rule targeting, and MCP tool allow-lists that prevent injection-driven tool abuse with no application code changes. OWASP ranks prompt injection as LLM01:2025, the

Bifrost integrates GraySwan Cygnal so teams can define natural-language safety rules in plain English, with violation scoring and prompt-injection detection. Prompt injection ranks as the number one security risk for large language model applications in the OWASP Top 10 for LLM Applications 2025. Most teams respond by writing

Configure Azure AI Content Safety in Bifrost to enable Jailbreak Shield, Indirect Prompt Injection Shield, and severity-based content filtering at the gateway. Prompt injection ranks as the highest-priority security risk for LLM applications in the OWASP Top 10 for 2025, covering both direct attacks in user input and

Bifrost lets enterprise teams enforce Google Model Armor guardrails inline, blocking prompt injection and redacting sensitive data on every LLM request. Prompt injection is the top security risk for LLM applications in the OWASP Top 10 for LLM Applications, and sensitive information disclosure now ranks second. Bifrost, the open-source