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Tool Call Security

Kernel-level egress enforcement for every API call, tool invocation, and MCP connection your agents make. Default deny. No code changes.

Security Said "Shut It Down"

"You built the agent. It works. It calls APIs, invokes tools, connects to MCP servers. Then security reviewed it and said: 'This agent can reach any endpoint on the internet. We can't approve this for production.'"

— ML Platform Lead, Fortune 500

Prompt injection controls the network

An attacker embeds instructions in data the agent processes. The agent follows them — calling tools it shouldn't, connecting to endpoints it shouldn't. This is not theoretical; 43% of MCP implementations have injection vulnerabilities.

No default deny

Agents can reach any destination the host network allows. There is no per-agent egress policy. A compromised agent has the same network access as a legitimate one.

MCP servers are a trust surface

Your agent trusts its MCP servers. A compromised or malicious MCP server exploits that trust — and your agent has no way to limit which MCP servers it connects to at the network level.

Data exfiltration is the endgame

The most dangerous outcome of a prompt injection isn't a wrong answer — it's the agent sending sensitive data to an attacker-controlled endpoint. Application-layer filters can't prevent a raw TCP connection.

Sound familiar?

If you lead security or AppSec This is the control that unblocks agent production deployments. Per-agent egress policy, enforced below the application layer, is what your security review is missing.
If you lead AI/ML platform engineering This is how you get security's sign-off without crippling your agents' functionality.

Per-Agent Egress Control

Every outbound connection from every agent process is intercepted at the kernel, checked against per-agent policy, and allowed or denied before the first byte leaves the host. The agent cannot bypass, disable, or circumvent the policy.

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Define allowed destinations

Write egress policies that specify which destinations each agent identity can reach — by domain, IP, port, or protocol.

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Everything else is blocked

Connections to approved destinations proceed normally — with mTLS and credential injection if configured. Everything not explicitly allowed is denied before the TCP handshake completes.

POST api.openai.com:443 → ALLOW (rule: llm-access) → credential injected ✓
POST evil-exfil.com:443 → DENY  (no matching rule) → blocked at kernel ✗
POST mcp-server.internal:8080 → ALLOW (rule: mcp-internal) → mTLS established ✓
POST unknown-api.com:443 → DENY  (no matching rule) → blocked at kernel ✗

What Changes for You

Agents get what they need — nothing else

The research agent reaches approved APIs. The coding agent reaches approved MCP servers. Neither can reach anything not explicitly allowed. This is the policy your security review requires.

Prompt injection can't exfiltrate data

Even if an injection controls the agent's behavior, it can't create connections to unapproved destinations. The kernel blocks them before the TCP handshake. There's nowhere for stolen data to go.

Per-agent policies, not per-host

Two agents on the same host have completely different egress policies, bound to their individual identities. The research agent and the coding agent don't share network permissions.

No code changes, any framework

Works with LangChain, CrewAI, AutoGen, LangGraph, custom frameworks — anything that makes network calls. No SDK, no proxy configuration, no framework plugin. Learn how →

Start in observe mode, enforce when ready

Deploy policies in observe mode first — every connection is logged and evaluated but nothing is blocked. Review the audit trail, tune the allowlist, then switch to enforce. No outage risk.

Why not just...

An AI gateway or prompt guardrails?

AI gateways proxy specific API calls — typically LLM requests — but agents make many other connections: MCP servers, databases, internal APIs, SaaS tools. An agent can bypass the gateway by making direct connections. Prompt guardrails try to prevent the agent from being told to do something bad, but a novel injection bypasses them. Kernel-level egress enforcement catches every outbound connection regardless of how it was initiated — because it operates at the TCP layer, below the application, below the gateway, below the guardrails.

Where to Start

The Fastest Win

Lock Down One Agent's Egress

Pick your highest-risk agent — the one with the most external connections or the most sensitive data access. Define its allowed destinations. Deploy the egress policy. The agent continues to function normally; everything not explicitly allowed is now blocked.

Bring the before/after to your security review: "Here's every connection this agent can make. Here's what's blocked. Here's the audit trail."

Then Expand

Secure MCP connections

Only approved MCP servers per agent. A prompt injection can't redirect an agent to a malicious MCP server — the kernel blocks the connection.

Restrict LLM API access per agent

A cost-sensitive agent shouldn't call GPT-4 when it's approved for Haiku only. Per-agent egress policies control exactly which LLM endpoints each agent can reach.

Add credential injection

Once you control where agents connect, eliminate the credentials they carry. Learn more →

AI Gateway vs. Prompt Guardrails vs. Riptides

AI Gateway Prompt Guardrails Riptides
What's controlled LLM API calls routed through gateway Prompts/responses filtered by framework Every TCP connection from the agent
Agent can bypass Direct connections skip gateway Novel injections bypass filters Cannot bypass — kernel level
MCP server control Not covered Not covered Per-agent MCP server allowlists
Per-agent policies Typically per-service Per-chain/per-prompt Per-agent SPIFFE identity
Exfiltration prevention Only for proxied calls Best-effort prompt filtering All unapproved destinations blocked
Code changes Route traffic through proxy Framework-specific integration None
Enforcement layer Application / proxy Application / model Kernel (below all application layers)
Audit trail Gateway logs Framework logs (suppressible) Kernel-level, tamper-proof

Ready to secure your
workloads?

Kernel-level identity and enforcement. No code changes. Deploy in minutes.