Claude Compliance API supportForceAI Security Announces Support for Claude Compliance API
ForceAI Agent Gateway gives security and engineering teams unified control over models, prompts, sensitive data, MCP tools, and autonomous agent actions.
Single endpoint proxy for LLM APIs, custom models, and agent frameworks.
Sub-15ms real-time prompt injection, jailbreak, PII/PCI scrubbing, and secret detection.
Granular MCP tool scoping, argument authorization, and agent execution boundaries.
Fine-grained role-based agent authorization, model scopes, and session permissions.
Interactive human-in-the-loop approval checkpoints for high-risk autonomous actions.
Intelligent multi-model failover, load balancing, and provider rate limit management.
End-to-end tracing from user prompt to model reasoning, tool call, and system side-effect.
Policy-as-code enforcement with continuous SOC 2, HIPAA, and GRC compliance evidence.
Every request passes through an optimized sub-15ms inline evaluation pipeline.
Agent/User sends prompt or tool call to Gateway.
Verify user role, agent identity, and session permissions.
Scan prompt text, attachments, and MCP arguments for sensitive data.
Check request against security, data, and compliance policy rules.
Determine whether to Allow, Redact, Warn, Require Approval, or Block.
Apply runtime decision before request reaches target system.
Stream latency, usage metrics, and risk events to security dashboard.
Export decision trace bundle to SIEM and compliance evidence locker.
ForceAI Gateway evaluates policy in real time and applies granular runtime decisions.
Request meets all security and data policies. Forwarded immediately.
Halt unsafe execution instantly before model or system side-effects occur.
Scrub PII, PCI, or secrets in flight while allowing safe prompt execution.
Allow action to proceed but log high-risk anomaly event to security team.
Pause autonomous tool execution until human supervisor signs off.
Trigger automated incident response ticket in ServiceNow or SOC platform.
Detect prompt injections, jailbreaks, and harmful content before LLM processing.
Real-time scrubbing of PII, PHI, PCI, secrets, and source code across queries.
Audit Model Context Protocol calls and restrict dangerous execution parameters.
Prevent autonomous agents from modifying production systems without policy.
Mandate sign-off for actions exceeding monetary or risk thresholds.
Centralize API key management and control provider endpoint routing.
Correlate user prompt, model reasoning, tool call, and final database update.
Export continuous policy evidence bundles for SOC 2, HIPAA, and NIST AI RMF.
ForceAI Gateway provides one enforcement point for model access, prompts, sensitive data, MCP tools, agent actions, observability, and governance.
Connect approved AI models through one enterprise gateway.
Prevent unmanaged API keys, enforce model routing, and apply consistent provider usage policies.
Inspect prompts and responses before unsafe content reaches AI systems or users.
Stop prompt injection, jailbreaks, PII/PHI leakage, and credential leaks at sub-15ms speed.
Control what AI agents can access and what actions they can execute.
Bound autonomous agent capabilities with strict MCP, API, and human approval policies.
Trace AI requests from user to model to tool to final action.
Gain end-to-end auditability into what prompt triggered which model, tool, and system side-effect.
Keep enterprise AI resilient across models and providers.
Maintain uptime with intelligent fallback, rate limiting, and multi-cloud LLM routing.
Turn runtime AI activity into enterprise policy and audit evidence.
Fulfill SOC 2, HIPAA, NIST AI RMF, and GDPR requirements with continuous decision evidence.
Connect ForceAI across your existing security, data, AI, observability, and enterprise workflow stack. Monitor AI activity, enforce runtime policy, and send security context wherever your teams already work.
Security telemetry, log data, data warehouse schemas, and IT cases flow seamlessly into ForceAI.
Every prompt, tool invocation, and model response is evaluated inline with sub-15ms latency.
An AI agent receives a user prompt, evaluates policies in ForceAI, queries models, and streams audit logs to Splunk & ServiceNow.
Filter supported technologies by category to view capabilities, indicators, and telemetry flows.
Apply ForceAI runtime security, sensitive-data controls, monitoring, and policy around supported OpenAI interactions.
Extend ForceAI monitoring, runtime protection, and supported enterprise compliance visibility across Claude environments.
Apply ForceAI runtime security, sensitive-data controls, and policy to supported Google Gemini and Vertex AI usage.
Bring ForceAI monitoring and runtime guardrails to supported Azure OpenAI Service deployments in your tenant.
Govern supported Amazon Bedrock model access with ForceAI policy, sensitive-data controls, and audit trails.
Protect hosted and self-managed Llama deployments with ForceAI runtime guardrails and monitoring.
Apply consistent ForceAI policy and prompt security to supported Mistral AI models, hosted or self-managed.
Secure supported Cohere generation, embedding, and rerank workflows, including enterprise RAG pipelines.
Extend ForceAI monitoring and policy to open models served through supported Hugging Face endpoints.
Monitor and govern supported DeepSeek model usage with allowlisting, sensitive-data controls, and shadow AI visibility.
Apply ForceAI runtime security and policy controls to supported xAI Grok model interactions.
Extend ForceAI controls to local and self-hosted open models served with Ollama.
Apply centralized ForceAI controls to agents and workflows built using supported LangChain integrations.
Bring runtime monitoring and policy controls to supported multi-agent workflows built with AutoGen.
Govern supported AI-agent interactions with enterprise data and apply visibility and sensitive-data controls around data-access workflows.
Extend AI runtime monitoring and policy controls across supported enterprise AI and data workflows.
Bring supported endpoint or security signals into ForceAI agentic workflows and security automation.
Send ForceAI runtime security events, agent activity, policy violations, and decision context into existing SOC workflows.
Integrate ForceAI AI-runtime security telemetry with existing search, observability, and security workflows.
Route supported ForceAI telemetry and AI-security events through existing enterprise data pipelines.
Connect ForceAI findings and runtime decisions to enterprise IT, security, and remediation workflows.
Connect ForceAI runtime security with supported enterprise APIs and gateway architectures.
ForceAI is designed to integrate with heterogeneous enterprise AI environments without requiring organizations to standardize on a single model, framework, or security stack.
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Read our comprehensive architecture guide on why enterprise AI needs an Agent Runtime Security Gateway to govern prompts, sensitive data, MCP tools, and autonomous actions in real-time.
Clear answers to common questions about deployment, integration, and runtime agent protection.
See how ForceAI monitors AI activity, protects sensitive data, governs tools, and stops unsafe agent actions at runtime.