Claude Compliance API supportForceAI Security Announces Support for Claude Compliance API
Secure AI Agents
Before They Act.
ForceAI Agent Gateway monitors and controls how AI agents access models, data, MCP tools, APIs, and enterprise systems—blocking unsafe actions before they execute.
Backed by the platforms enterprise AI runs on
ForceAI is a member of the NVIDIA Inception program, part of AWS Startups, a Claude Security Partner, and available through AWS and Google Cloud.
NVIDIA Inception Program
ForceAI is a member of the NVIDIA Inception program for cutting-edge startups.
StartupsAWS Startups
Building and scaling on AWS as part of the AWS Startups program.
Claude Security Partner
Securing and governing enterprise Claude with the Claude Compliance API.
AWS & Google Cloud
Procure ForceAI through your existing cloud account on AWS or Google Cloud.
AI Agents Don't Just Respond. They Act.
AI agents can read data, invoke tools, call APIs, modify systems, and execute workflows. Traditional AI controls often stop at the model. Enterprise security needs to follow the agent all the way to the action.
Agents can reach:
- Data & Customer Records
- Enterprise Applications
- Internal Files & Docs
- Internal & External APIs
- Cloud Infrastructure
- MCP Tools & Servers
Agents can choose:
- LLM Models & Providers
- Tool Execution Logic
- Workflows & Sub-tasks
- Autonomous Actions
- Downstream Other Agents
- MCP Execution Arguments
Agents can:
- Update Database Records
- Execute Code & Scripts
- Send Messages & Emails
- Trigger Automated Workflows
- Move Data Across Systems
- Execute Business Actions
One Runtime Control Layer for Enterprise AI
ForceAI sits in the AI execution path, giving security teams centralized visibility and policy enforcement without forcing organizations into a single model, agent framework, or cloud.
FORCEAI AGENT GATEWAY
Sub-15ms Inline Control & Inspection Point
Everything You Need to Secure AI at Runtime
ForceAI replaces fragmented AI security tools with four clear runtime outcomes.
See what your AI agents are doing.
Gain one runtime view across enterprise AI activity—from user and prompt through model, tool, and final action.
Stop AI threats and sensitive data exposure.
Inspect prompts, responses, retrieved content, and sensitive data before risky AI activity reaches models or external systems.
Decide what agents are allowed to do.
Apply runtime policy to models, MCP servers, tools, data, and agent actions. Allow safe activity. Block, redact, warn, or require approval when risk increases.
Know what happened—and why.
Record the complete execution and policy trail for security investigations, governance, and compliance.
See ForceAI Stop an Unsafe Agent Action
A financial-service AI agent receives a document with a hidden malicious instruction. Watch ForceAI intercept and block the action in real time.
Financial Services AI Assistant
Stopping the action is the goal.
ForceAI doesn't just log security risks after the fact. ForceAI evaluates the complete runtime context and halts unauthorized agent execution before data is stolen or systems are modified.
More Than Model Traffic
AI gateways traditionally control the connection between an application and an LLM. Agentic AI requires control across the entire execution path.
Limited to simple HTTP proxying between an application and a language model provider. Misses downstream agent actions and tool invocations.
Controls the complete second execution loop: from prompt and model response back into agent tool choices, MCP servers, and enterprise system side-effects.
ForceAI brings security beyond model access to the data, tools, and actions that make AI agents powerful—and risky.
Secure Every Agent-to-Tool Connection
MCP gives agents access to powerful enterprise tools. ForceAI gives security teams visibility and control over how those tools are used.
Complete MCP Tool Governance & Control
Discover unmanaged developer MCP servers across local IDEs and desktop environments. Apply strict authorization rules to ensure tool calls operate within enterprise data security standards.
ForceAI Works Across Your Existing Stack
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.
Supported Enterprise Integrations
Filter supported technologies by category to view capabilities, indicators, and telemetry flows.
OpenAI
AI ModelsApply ForceAI runtime security, sensitive-data controls, monitoring, and policy around supported OpenAI interactions.
Anthropic
AI ModelsExtend ForceAI monitoring, runtime protection, and supported enterprise compliance visibility across Claude environments.
Google Gemini
AI ModelsApply ForceAI runtime security, sensitive-data controls, and policy to supported Google Gemini and Vertex AI usage.
Azure OpenAI
AI ModelsBring ForceAI monitoring and runtime guardrails to supported Azure OpenAI Service deployments in your tenant.
AWS Bedrock
AI ModelsGovern supported Amazon Bedrock model access with ForceAI policy, sensitive-data controls, and audit trails.
Meta Llama
AI ModelsProtect hosted and self-managed Llama deployments with ForceAI runtime guardrails and monitoring.
Mistral AI
AI ModelsApply consistent ForceAI policy and prompt security to supported Mistral AI models, hosted or self-managed.
Cohere
AI ModelsSecure supported Cohere generation, embedding, and rerank workflows, including enterprise RAG pipelines.
Hugging Face
AI ModelsExtend ForceAI monitoring and policy to open models served through supported Hugging Face endpoints.
DeepSeek
AI ModelsMonitor and govern supported DeepSeek model usage with allowlisting, sensitive-data controls, and shadow AI visibility.
xAI Grok
AI ModelsApply ForceAI runtime security and policy controls to supported xAI Grok model interactions.
Ollama
AI ModelsExtend ForceAI controls to local and self-hosted open models served with Ollama.
LangChain
Agent FrameworksApply centralized ForceAI controls to agents and workflows built using supported LangChain integrations.
AutoGen
Agent FrameworksBring runtime monitoring and policy controls to supported multi-agent workflows built with AutoGen.
Snowflake
DataGovern supported AI-agent interactions with enterprise data and apply visibility and sensitive-data controls around data-access workflows.
Databricks
DataExtend AI runtime monitoring and policy controls across supported enterprise AI and data workflows.
CrowdStrike
SecurityBring supported endpoint or security signals into ForceAI agentic workflows and security automation.
Splunk
ObserveSend ForceAI runtime security events, agent activity, policy violations, and decision context into existing SOC workflows.
Elastic
ObserveIntegrate ForceAI AI-runtime security telemetry with existing search, observability, and security workflows.
Cribl
ObserveRoute supported ForceAI telemetry and AI-security events through existing enterprise data pipelines.
ServiceNow
WorkflowsConnect ForceAI findings and runtime decisions to enterprise IT, security, and remediation workflows.
API Gateways
APIsConnect 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.
* Vendor logos are trademarks of their respective owners and used solely for technological compatibility representation.
Claude Compliance API Integration
Extend security and compliance visibility into enterprise Claude activity through ForceAI. Ingest workspace audit telemetry, chat history logs, and file attachment records.
Built for Enterprise AI Environments
Purpose-built runtime security controls tailored for regulated industries and high-rigor enterprise architectures.
Financial Services
Protect AI agents interacting with customer data, financial workflows, cardholder information, APIs, and regulated systems.
Healthcare & Life Sciences
Protect PHI and sensitive healthcare workflows while maintaining visibility and human control over AI actions.
Developer & Engineering
Monitor coding assistants, protect source code and secrets, and govern AI tools across developer environments.
Security Operations
Use governed AI agents and runtime security controls across security automation and autonomous workflows.
Runtime Controls for Regulated AI
Apply security policy, sensitive-data controls, monitoring, and audit evidence across AI environments with requirements driven by financial services, healthcare, security, and enterprise governance.
Need Agents Too? Build Them Secure by Design.
ForceAI Agents lets security and IT teams build governed autonomous workflows while inheriting ForceAI monitoring, runtime policy, approvals, and auditability.
Triage security alerts, analyze logs, and coordinate incident response with runtime guardrails.
Autonomous OSINT ingestion, vulnerability correlation, and automated threat briefs.
Detect anomalous data movements, privilege escalations, and exfiltration attempts.
Automated patch assessment, risk scoring, and ticketing workflow dispatch.
Continuous evidence collection, framework mapping, and policy audit automation.
Build custom autonomous agentic routines with built-in policy enforcement.
Technical FAQ
Clear answers to common questions about deployment, integration, and runtime agent protection.
Your AI Agents Already Have Access.
Give Security Control.
See how ForceAI monitors AI activity, protects sensitive data, governs tools, and stops unsafe agent actions at runtime.