Smart. Safe. Correct. — Everyone builds the first two. Surfit is the third.
Your agents are about to act on production systems. Surfit decides if they should.
Agents propose. Surfit evaluates. Low-risk executes instantly. High-risk gets routed. Everything gets a cryptographic receipt. The agent never holds the credentials.
AI agents merge PRs, modify IAM permissions, email clients, and deploy to production. Guardrails check the output. Sandboxes check the access. Permissions check the scope. They all say yes. The agent executes. Payments break. Nobody evaluated whether the action was correct for the business right now. Surfit does.
Correct means:
→ the right action
→ in the right place
→ under the right conditions
→ for your business
Correctness is defined by your policies — not the agent. Surfit evaluates every action before execution.
Every action is classified by risk and handled according to your business rules. Low-risk actions execute instantly. High-risk actions get routed by Surfit for business context.
The same control layer applies across Slack, GitHub, X, and every system your agents touch. One set of rules, enforced everywhere.
Every action produces a receipt — what happened, which system, what decision was made, and why. Auditable by default.
If the agent holds the credentials, governance is optional — the agent can ignore it.
If Surfit holds them, governance is architectural — the agent cannot bypass it.
This is not a policy layer. This is an execution boundary. The agent physically cannot reach the system without going through Surfit.
Any agent framework connects to Surfit. Surfit evaluates and controls execution across all downstream systems.
Frameworks decide what to do. Sandboxes control where agents can go. Surfit controls whether the action actually happens. Every other layer says "allowed." Only Surfit asks "correct?"
Surfit is how teams move agents from advisory to operational — with every action evaluated, every decision accounted for.
Teams deploying internal AI agents that interact with infrastructure, repositories, APIs, or production services. Surfit provides a runtime execution boundary between agent frameworks and enterprise systems, enforcing policy manifests, tool allowlists, and deterministic checks before any mutation occurs.
Financial institutions, healthcare organizations, and critical infrastructure providers cannot allow uncontrolled agent execution. Surfit produces tamper-evident governance artifacts for every execution wave, enabling provable compliance, audit verification, and post-run integrity checks.
Security teams expanding AI capabilities face a tradeoff between innovation and operational risk. Surfit enforces deterministic boundaries at the execution layer — every agent action is policy-evaluated, risk-classified, and either auto-executed or held for approval before reaching any system.
Large organizations often run heterogeneous AI stacks across multiple frameworks and vendors. Surfit provides a neutral decision layer that sits at the execution boundary — evaluating every agent action in business context regardless of which framework produced it.
Many organizations begin with read-only advisory agents. Operational automation requires stronger controls. Surfit enables this transition by introducing deterministic execution containers called Waves with runtime enforcement and policy validation.
Current capabilities and roadmap.
• Wave runtime enforcement across Slack, GitHub, X, Notion, Gmail, Outlook, AWS
• Deterministic risk classification (Wave 1–5) with context-aware scoring
• Real-time execution gating with approve/reject/block
• Cross-system action evaluation from single governance engine
• Cloud-hosted dashboard with live action polling (client + admin views)
• Customer isolation — tenant-scoped data, actions, and pending queues
• Client-facing dashboard with SSL and authentication (client.surfit.ai)
• Internal admin view with cross-customer visibility and pending queue
• Always-on cloud deployment (systemd managed, Hetzner)
• SQLite-backed persistence across server restarts
• Hash-chained execution receipts with integrity verification
• Context-aware content risk scoring (keyword, destination, sensitivity)
• Role-based approver mapping with per-system access control
• Slack DM notifications on held actions
• Deterministic action normalization across heterogeneous APIs
• Unified pending queue with cross-system operator control
• Product demo and architecture visualization live on website
• Ripple Workflows — when an action completes in one system, Surfit triggers the next action in another. Each step evaluated through Wave classification. Workflow builder in dashboard
• Agent Intelligence — per-agent trust scoring (approval rate, longevity, volume), budget gates (hourly/daily limits), session tracking (24h activity, systems touched, rate)
• Cross-system threat detection — preset correlation rules running continuously, incident logging when patterns fire, incident flags surfaced on pending action cards
• Wave Metrics dashboard — ocean-themed operational metrics (Length, Height, Depth, Frequency, Drift, Splash)
• Natural language policy parser — write policies in plain English, Surfit converts to enforceable rules
• Anomaly detection — burst activity, unusual hours, cross-system spread, high rejection rate
• Kill switch and shadow mode — global execution halt and per-tenant evaluate-only mode
• TOTP 2FA on admin write endpoints
• Compliance report generator — exportable audit report with actions, receipts, credential access, agent trust
Every action above was technically valid. The agent had credentials. No layer evaluated business context. The agent executed alone.
Surfit prevents this.
A technical walkthrough of cross-agent runtime enforcement at the neutral Surfit execution boundary.
Demo 1: How Surfit Works — core product walkthrough.
Demo 2: Agent Intelligence & Threat Detection — advanced capabilities.
Every decision is logged, traceable, and enforced in real time.
Surfit is the decision layer for AI agent actions. Agents propose actions. Surfit evaluates each one in business context — not just whether it's permitted, but whether it's the right action for the organization right now. Low-risk actions execute instantly. High-risk actions are routed for context. Everything produces a receipt. Surfit sits externally, holds credentials, and enforces decisions architecturally — the agent cannot bypass what it cannot reach. Surfit also provides per-agent trust scoring, cross-system threat detection, and Ripple Workflows for governed multi-system automation.
No. Agents run in any framework; Surfit governs what those agents are allowed to execute at runtime.
A Wave is a risk level assigned to each agent action. Lower-risk Waves execute automatically with logging. Higher-risk Waves are held for approval before execution. Every Wave produces an auditable record of what happened and why.
No. Surfit is agent-agnostic and designed to work with multiple frameworks and proprietary agent systems.
Orchestrators coordinate workflows inside the agent runtime. Surfit operates at the execution boundary between agents and enterprise systems, enforcing policy regardless of the framework or orchestration layer.
Enterprise systems are configured to require Surfit-mediated tokens, connectors, and policy validation for sensitive operations. Agents do not “choose” whether to obey Surfit — Surfit sits at the execution boundary.
Agents do not voluntarily comply with Surfit. Surfit governs the execution path by controlling the credentials, tokens, and connector interfaces through which enterprise actions are performed.
No. The agent executes in its framework. Surfit governs the execution boundary when that agent attempts enterprise actions.
Surfit denies the action and records a tamper-evident governance artifact explaining the rejection reason.
Security platforms decide what is allowed — they enforce access policies, protect endpoints, and block threats at the infrastructure layer. Surfit decides what should happen — it evaluates agent actions in business context and routes decisions to the right teams. Security says "this process can run." Surfit says "this action is correct for the business." Different layer, different purpose. They work together, not in competition.
Agent runtimes decide what to do — they plan, reason, and select tools. Some runtimes add internal governance features like approvals or sandboxing. But when governance lives inside the agent runtime, it's controlled by the same system it's supposed to constrain. Surfit sits outside the agent entirely — at the execution boundary. It's framework-agnostic, vendor-neutral, and architecturally independent. The agent can't override Surfit because Surfit holds the execution credentials, not the agent.
When an action completes in one system, Surfit can automatically trigger the next action in another system. Each step in the chain is evaluated through Wave classification. If any step hits Wave 4 or 5, the flow pauses for review. You define the workflows, Surfit governs every step.
Surfit tracks every agent individually with trust scores, budget gates, and session monitoring. Trust scores adapt based on approval history — agents that behave well earn lower wave modifiers, agents that get rejected face higher scrutiny. Budget gates enforce hourly and daily action limits. If an agent exceeds its budget, Surfit blocks all actions until the next window.
Surfit runs correlation rules across all connected systems continuously. When an agent's actions match a suspicious pattern — like a code change followed by an IAM modification, or sensitive data access followed by external communication — Surfit escalates the actions regardless of their individual wave scores. The pattern overrides the label.
No. Most actions execute instantly through Surfit with full logging. Surfit only holds actions where business context demands it. Routine work flows without friction. Surfit is designed to make agents faster to deploy, not slower to operate.
Because the agent would still hold the credentials. Any governance that lives inside the agent is controlled by the agent. Surfit sits outside — it holds the credentials, evaluates the actions, and executes on behalf of the agent. That architectural separation is what makes governance real, not optional.
Start with one system. Route your agent's actions through Surfit. See what flows instantly, what gets held for context, and what gets receipted. Every system you connect makes the next one stronger.
Surfit is customer zero — a live AI agent posts to @SurfitAI through Surfit every day.
Works with any agent framework · Governed by Surfit
Surfit is designed for teams deploying AI agents with operational authority.
If your organization is exploring agent automation and needs deterministic governance over execution, we’re happy to discuss architecture and deployment options.