Coverage
One vantage point. Every agent surface.
The surface changes. The Decision Trace does not. MCP clients, API proxies, browser services, vibe-coding platforms, and SaaS tools all feed one record. Anyone can build a browser plug-in or an MCP gateway. Reproducing one coherent record across agent, human, and API traffic is the hard part.
Eight ways in.
Behavry is the inline authorization layer for AI agent actions. Coverage is just the proof.
Inline authorization for every MCP tool call. OPA/Rego policies, per-agent identity, input scanning, behavioral baselines, Decision Trace.
12 one-click clients · Streamable HTTP · SSE · stdio
Authorize Claude Code in YOLO mode and all autonomous Anthropic agents. Per-action policy enforcement before execution.
Claude Code · Claude Desktop · Anthropic API
Authorization for AI agents on messaging platforms, WhatsApp, Telegram, and Slack, with full filesystem and shell access.
WhatsApp · Telegram · Slack
Authorize apps shipped by employees on Replit, Lovable, Bolt, and similar vibe-coding platforms. Discovery + enforcement.
Replit · Lovable · Bolt · +4 more
30 SaaS platforms, 6 API proxies, 12 browser services. AI Surface Discovery via IdP and admin API connectors.
SIEM · IdP · SaaS
Open-source components, public policy library, and community-maintained patterns extending Behavry's authorization model.
OSS · Policy Library
Walk through a live authorization decision: agent → action → policy evaluation → Decision Trace. No account required.
Live · No login
What CTOs, CISOs, and boards ask about inline authorization for AI agent actions. Direct, no-jargon answers.
CTO · CISO · Board
Ship AI broadly. Authorize it structurally.
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