AI Governance

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

Bifrost integrates CrowdStrike AIDR as a guardrail provider, enforcing CrowdStrike AIDR guardrails on every prompt and completion to block prompt injection, redact sensitive data, and stream AI security telemetry. Prompt injection ranks as the top security risk in the OWASP Top 10 for LLM Applications, and most production AI systems

Set up Bifrost with Patronus AI for hallucination detection and LLM safety evaluation, screening prompts and responses for PII, toxicity, and injection. Large language models generate fluent, confident text that is sometimes factually wrong, and those errors pass through to users without raising any failure in application logs. For teams

Bifrost integrates AWS Bedrock Guardrails as a gateway-layer guardrail profile, enforcing PII redaction and content filtering across every LLM provider without per-application configuration. This walkthrough covers IAM auth, profile setup, CEL rule targeting, and a working two-rule configuration for input and output scanning. AWS Bedrock Guardrails provides

The top LLM governance platforms for 2026, compared on access control, policy enforcement, and compliance. Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. Enterprise AI usage now spans dozens of teams, hundreds of API keys, and multiple