The future proof security layerfor AI systems
Maintain policies, controls, and oversight mechanismsfor every AI agent acting on behalf of your organization.
Observe
Protect
Manage
“Nothing else came close.”
“Nothing else came close.”
Agents now act with credentials, write to prod, and move data.
The failures to the right are public, sourced, and already shipped to customers. None were caught by the tools built for the chatbot era.
Samsung engineers leaked source code into ChatGPT
Confidential semiconductor code and meeting notes were pasted into a public model. Samsung banned generative AI company-wide within weeks.
Replit's coding agent wiped a live production database
During a code freeze, the agent deleted the prod DB and fabricated data to hide it. SaaStr's founder publicly detailed the incident.
EchoLeak: zero-click exfiltration from Microsoft 365 Copilot
CVE-2025-32711. A single crafted email silently pulled tenant data out of Copilot — no user interaction, no clicks, no warning.
Air Canada held liable for its chatbot's fabricated refund policy
A tribunal ruled the airline responsible for a bereavement discount the agent invented. "The chatbot is its own entity" defense failed.
Restrictions only drive shadow usage.The solution is secure enablement.
Runtime protection, powered by a novel behavioral engine.
Every agent action, observable. Users, agents, tools, skills, and policies — risk-tiered and traced across every session. Findings and policy hits surface the few signals that need attention.
Users
1,247
Agents
38
Sessions
4,892
Open findings
12
High severity
11
Policy hits
47
Failure modes
4
Security risks
9
Avg. session
3.4m
Events
2.4M
+18% vs. last 24h. Path-traversal blocks driving the spike.
3 first-seen agents on Codex this week.
1 sensor on Cursor fell to stale state.
Why sessions fail or require intervention.
Higher event volume correlates with higher risk scores.
Features
Complete visibility, control, and intelligence over every AI agent in your enterprise.
Discover Every Agent in Your Stack
Automatically catalog SaaS, custom-built, and embedded agents across your organization. Connect your identity provider once and see the full picture — including shadow AI no one approved.
Enforce Policies in Real Time
→ git push origin main → prompt injection contained → query accountsWrite rules in plain English. Forge intercepts agent traffic at the edge — scrubbing sensitive data, blocking risky tool calls, and routing high-stakes actions through human approval gates.
Trace Every Agent Action End to End
Unified traces for all agent activity — tool calls, API requests, data access, and outputs. Search in natural language. Stream in real time. No instrumentation required.
Stay Audit-Ready
Map blast radius for every agent. Surface attack paths before they're exploited. Generate audit-ready assessments mapped to EU AI Act, Colorado AI Act, SOC 2, and ISO 42001 — continuously, not once a quarter.
Compare Efficacy and Prove ROI
Claude CodeSalesforce EinsteinCursorCopilot Studion8n WorkflowsTrack usage patterns and failure modes across every agent. Detect duplicates, compare vendors, and build ROI cases with real data — not estimates. AI coaching suggests policy improvements automatically.
From signup to first runin an afternoon.
Connect Forge to your existing identity, network, SaaS, and model gateways. No new endpoint agents, no consultants, no months-long implementation.
Connect
Hook Forge into your identity, network, SaaS, and model gateways. Visibility starts immediately.
Inventory
Every agent operating across your stack is discovered. Shadow agents flagged the moment they appear.
Baseline
Behavioral profiles built from real agent activity — prompts, tool calls, data access, and drift, all clustered automatically.
Enforce & improve
Convert deviations into findings, approvals, and policy actions. Hardening tightens as the system learns.
Built by people who understand AI and enterprise security.
We're building the governance layer for the agentic era. The Forge team brings together AI researchers, security engineers, and enterprise leaders from the institutions shaping how autonomous systems are built and deployed.
