Forge AI
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Overview
Forge AI helps organizations govern AI agents by enforcing runtime policies, monitoring gateway activity, and controlling identity-based access. Although support documentation may not cover all scenarios, its centralized governance and behavioral analysis make it well-suited for enterprises seeking to secure AI-driven workflows in diverse environments.
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Starting Price
Custom
Forge AI Specifications
- Threat Intelligence
- Vulnerability Management
- Security Audits And Reporting
- Cloud Security
What Is Forge AI?
Forge AI is an enterprise AI security platform that helps organizations safely scale AI agents, copilots, and automated workflows across existing infrastructure. The software works alongside the model routers, AI gateways, and security tools organizations already use, giving security teams a centralized platform to govern how AI systems access tools and data.
Leveraging runtime telemetry, Forge AI helps security teams understand how agents behave in real-world environments and enforce policies based on context. The software also establishes behavioral baselines for agents and users, helping identify suspicious activity and deviations from normal behavior.
By blocking risky tool calls, redacting sensitive outputs, and routing high-risk actions for approval, Forge AI helps enterprises maintain operational control and strengthen AI governance.
What Is Forge AI Best Known For?
The software is best known for governing AI activity across model routers, AI gateways, and MCP gateways through a centralized control plane. The platform reviews prompts, tool calls, model choices, and responses together, applying policies in context to identify and block sensitive or off-policy gateway traffic. As a result, organizations can enforce consistent AI governance, data boundaries, routing controls, rate limits, and approval workflows across enterprise AI environments.
How Much Does Forge AI Cost?
Forge AI pricing typically ranges from $2,500 to $10,000/month, according to industry benchmarks for enterprise AI-powered cybersecurity and autonomous security operations platforms.
The cost estimates below are provided for budgeting purposes only:
- Implementation And System Configuration: $10,000–$50,000 includes deployment, AI workflow configuration, security policy customization, and integration with existing cybersecurity infrastructure
- Security Platform And API Integration: $2,000–$15,000 connecting SIEM, SOAR, EDR/XDR, IAM, cloud security platforms, and other security tools through APIs and custom connectors
- Advanced Analytics And Reporting Modules: $3,000–$15,000/year for enhanced threat analytics, compliance reporting, executive dashboards, and AI-driven security insights
- Ongoing Support And Managed Services: $1,000–$8,000/month includes technical support, platform monitoring, performance optimization, and managed cybersecurity services
Disclaimer: Pricing references are based on publicly available information and industry benchmarks. Actual costs may vary.
Forge AI Integrations
The software supports integration with multiple platforms, such as:
- CrowdStrike
- Microsoft Defender
- Palo Alto Networks
- Cloudflare
- Okta
- Microsoft Entra
- OpenRouter
How Does Forge AI Work?
Here is how you can begin managing AI governance with the software after logging in:
- Access the centralized control plane to review connected AI agents, identities, and runtime activities
- Examine the live agent inventory to distinguish human-delegated identities from non-human service identities across environments
- Configure governance policies using observed runtime behavior instead of manually creating security rules from scratch
- Review prompts, model selections, tool calls, and AI responses within a unified investigation workflow
- Apply runtime enforcement policies to block risky actions while allowing trusted activities to continue uninterrupted
- Evaluate MCP servers and skills before approval using built-in security assessments and threat intelligence insights
- Monitor behavioral findings continuously and refine governance policies as the platform detects evolving AI activity patterns
Who Is Forge AI For?
Forge A software is designed for enterprises across a range of industries, including:
- Finance
- Healthcare
- Aviation
- Technology
- Public sector
Forge AI Use Cases
Based on our analysis of Forge AI's current capabilities and the industry-specific workflows, we identified the following scenarios in which the platform is particularly well-suited for organizations deploying AI agents in regulated and high-risk environments:
Financial Institutions Governing AI Agents Involved In High-Stakes Decisions
Financial institutions using AI agents for trading, underwriting, and customer-facing workflows need to explain automated decisions, protect sensitive financial data, and prevent agents from taking unauthorized actions. Forge provides visibility into AI agents and their activity while keeping sensitive data within the organization's perimeter. For workflows involving actions that move money, organizations can use Forge's approval controls to require human oversight before an agent proceeds.
Healthcare Organizations Keeping Clinical AI Under Human Oversight
Healthcare organizations using AI scribes, prior-authorization engines, and clinical decision-support agents need to protect patient data while ensuring that high-impact clinical decisions remain subject to appropriate oversight. Forge helps organizations keep sensitive data within their perimeter and maintain visibility into agent activity and recommendations. Its approval controls can be used to keep clinicians in the loop for workflows where AI-generated decisions or actions require human review.
Aviation Companies Controlling AI Agents Across Operational Workflows
Airlines and aviation organizations deploying AI agents for maintenance, dispatch, crew operations, and customer interactions need to control which data and sources those agents can access. Forge can help identify sensitive information that should not leave the organization's perimeter and govern agent access to authorized sources. This allows organizations to apply security controls to operational agents while maintaining oversight of AI-driven customer and operational workflows.
Technology Companies Controlling AI Agents With Access To Code And Production Systems
Technology companies may have engineering, support, and security teams deploying large numbers of AI agents without a complete inventory of what is operating across their environments. Forge helps discover AI agents and monitor their activity, while runtime controls can block risky actions and route high-risk operations for approval. This can help organizations manage risks such as coding agents accessing sensitive source code, AI systems exposing customer data, or agents attempting potentially destructive actions in production environments.
Is Forge AI Right For You?
Do fragmented AI security controls make it difficult to monitor agents, identities, and gateway activity across your organization? Inconsistent governance can increase operational and compliance risks as AI systems gain access to sensitive data and business tools. Forge AI addresses these challenges with centralized runtime governance, behavioral analysis, and policy enforcement across AI agents and gateways.
The platform prevents inconsistent governance while enhancing security through a GDPR-compliant Data Processing Agreement, making it suitable for organizations prioritizing reliable tools to govern the agents.
Forge AI secures the AI agents and enterprise tools organizations run on, including OpenAI, Claude, and OpenClaw, helping enterprises maintain visibility and control over AI activity across their environments.
Still not sure about Forge AI? Contact our support team at (661) 384-7070 for further guidance.
Forge AI Features
Agent Inventory
Forge AI features a live agent inventory that gives organizations visibility into AI agents operating across their environments. The platform associates each agent with its owner and access and distinguishes human-delegated identities from non-human ones. As a result, Forge provides a centralized view of the agent fleet that improves accountability, supports least-privilege access, and helps organizations govern AI activity at scale.
Runtime Enforcement
The Runtime Enforcement feature enables organizations to stop risky AI actions before they affect business operations. Forge AI applies fast, deterministic checks to routine requests while escalating risky trajectories to an AI reasoning model that evaluates the complete execution trace. This layered approach allows security teams to respond proportionally to risk while maintaining protection against unsafe agent behavior.
Governance
Forge AI centralizes AI governance by enabling organizations to create policies based on observed runtime behavior rather than relying solely on manual configuration. The platform identifies behavioral drift and helps enforce controls across runtime activity, MCPs, skills, and identities through a unified control plane. It also proposes policy recommendations as it learns and uses approval gates to route higher-risk actions for review.
MCP And Skill Vetting
MCP and skill vetting help organizations understand the risks of external AI connectors and skills before they are trusted. Forge AI red-teams servers and skills, checks them against live threat intelligence, and helps scope them appropriately. The platform can block over-scoped or compromised servers with reasons and suggest sanctioned APIs or MCPs when approved alternatives are available.
Behavioral Baseline
The Behavioral Baseline feature learns how each AI agent and user typically operates by analyzing real session activity. Forge AI reasons about agent actions in real time against established baselines, escalating off-baseline behavior from a fast inline model to a deeper reasoning model when necessary. This approach helps identify and address risks such as prompt injection, social engineering, over-persistence, tool misuse, scope drift, and data exfiltration.
Pros And Cons of Forge AI
Pros
Centralized AI agent inventory and visibility
Runtime policy enforcement blocks risky actions
Behavioral baseline detects abnormal AI activity
Cons
Documentation gaps may hinder user workflows
Support gaps can slow down problem resolution
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Frequently Asked Questions
What language does Forge AI support?
Forge AI is primarily available in English.
Does Forge AI have a mobile app?
The vendor has not shared information regarding a mobile application.
What types of pricing plans does Forge AI offer?
Forge AI price ranges from $2,500 to $10,000/month. Request a personalized Forge AI price quote for your business.
What level of support does Forge AI offer?
It offers support via email.
Does Forge AI offer an API?
Yes, Forge AI offers API access.
Who are the typical users of Forge AI?
Forge AI is designed for enterprises across a range of industries, including finance, healthcare, aviation, technology, and the public sector.
What other apps does Forge AI integrate with?
Forge AI supports integration with multiple platforms, such as CrowdStrike, Microsoft Defender, Palo Alto Networks, Cloudflare, Okta, Microsoft Entra, and OpenRouter.