01
AI agent security gateway
Route model and tool traffic through one enforcement point. Apply identity, rate, content, and action policy without rewriting the agent you already run.
AI agent security gateway
The AI agent security gateway for every model, tool, and decision.
Protexct is the control plane for production AI agents. It inspects LLM and MCP traffic, blocks prompt injection, enforces runtime policy, and leaves behind evidence your team can act on.
One gateway for model requests, tool calls, credentials, policy, and audit evidence.
Protexct/Security events
Security events
Activity from protected agents
Live visibility across protected agents
What Protexct does
A security layer for agents that can take action.
Most AI security products stop at a model prompt. Protexct protects the whole execution path: the context an agent reads, the MCP tools it discovers, the credentials it receives, and the action it tries to take.
02
Prompt injection detection
Scan inputs, retrieved context, tool descriptions, and outputs before an injected instruction can change an agent’s course of action.
03
MCP protocol security
Inspect MCP discovery, tools, parameters, and results across remote and local transports. Enforce a registry and stop poisoned tools at the boundary.
04
Self-improving threat models
Turn novel attacks into regression tests. Nightly red teaming and measured model updates help controls improve as the threat distribution moves.
05
Compliance reports
Keep policy, identity, prompt, tool activity, and outcome in an immutable event trail ready for investigation and evidence export.
Production proof
Measured security, not vague assurance.
Fast enough to stay in the request path. Detailed enough to tell your team exactly what happened after a decision.
99%
Detection accuracy (F1 0.9880)
<30 ms
CPU inference on the hot path
20,808
Training examples in the threat model
30/30
Prompt-injection benchmark cases blocked
Detection benchmark measured against Protexct's prompt-injection evaluation suite. Results vary by model, policy, and traffic profile.
How it works
One request path. Five connected controls.
Protexct sits between the agent and the model provider. It makes the security decision in the request path, then records the context needed to understand and improve that decision.
- 01
Agent
Your agent sends a model request or tool action.
- 02
Protexct Gateway
Identity, credentials, rate limits, and routing are applied.
- 03
GUARD scan
Prompts, context, tool metadata, and outputs are classified.
- 04
OPA policy
Allow, redact, block, or request human approval.
- 05
Upstream LLM
Only an authorized, policy-compliant request continues.
Inspect
Model prompts, retrieved context, tool definitions, credentials, and responses are visible at the boundary.
Decide
GUARD and OPA can allow, redact, block, or pause for a human before an action runs.
Learn
Traces and red-team findings become regression tests for the next measured threat-model update.
Built for consequential workflows
Security that fits the team shipping the agent.
Start with a single service boundary, then give security, compliance, and platform teams the same operational view.
Fintech
Keep money-moving agents inside policy.
Protect underwriting, support, and operations agents from prompt injection while enforcing tool scopes, approval gates, and durable evidence for every sensitive action.
Healthcare
Give clinical copilots a safer boundary.
Inspect retrieved context and tool calls, redact sensitive data, and preserve a traceable record of what the agent saw, decided, and shared.
Enterprise AI teams
Ship agents without creating a new blind spot.
Standardize security across providers and frameworks with one gateway, a shared MCP registry, tenant-aware policy, and findings your platform team can act on.
Why teams choose Protexct
The agent security layer competitors leave between the lines.
A concise view of the controls that matter when an agent can read data, call tools, and change the world.
| Capability | Protexct | Lakera | NeuralTrust | Lasso |
|---|---|---|---|---|
| Gateway-native request enforcement | Yes | Partial | Partial | No |
| Prompt injection detection | GUARD + policy | Yes | Yes | Limited |
| MCP protocol security | Deep controls | Limited | Limited | No |
| Self-improving threat models | Red team + regression loop | No | No | No |
| Tenant policy and approvals | Yes | Limited | Limited | No |
| Compliance-ready event evidence | Built in | Add-on | Add-on | Limited |
Comparison reflects publicly described product focus and Protexct's current gateway capabilities; evaluate each platform against your own deployment and policy requirements.
Pricing that starts with the gateway
Start protecting agents before the risk compounds.
Every plan includes the AI security gateway. Scale into approvals, isolation, extended evidence retention, and dedicated infrastructure when you need it.
Self-hosted
$0forever
Run the full gateway in your infrastructure with your own storage.
Pro
$99/ month
Production controls for 5 users, 10 API keys, and 100K requests/month.
Business
$399/ month
Fleet governance with approvals, isolation, 50 keys, and 100K requests/day.
Enterprise
Customtailored
Dedicated infrastructure, model forks, and tailored retention.
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