# Runtime Agent Security for Security Engineers | SealGate

SealGate for security engineers: write deterministic CEL policy, block dangerous tool calls inline, and stop prompt injection and tool poisoning, with DLP and secrets scanning on every call.

Source: https://sealgate.ai/for/security-engineers

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for security engineers

# SealGate for security engineers

Write deterministic policy and enforce it inline on every tool call.

## The problem

Prompt-based guardrails are probabilistic and bypassable, and you are the one who has to make agent access actually safe. You want rules you can reason about, enforcement that happens before the call runs, and defenses against injection and tool poisoning that do not depend on a model behaving.

SealGate. A runtime agentic data firewall that blocks dangerous tool calls before they execute, scans tool traffic for data loss and prompt injection, discovers shadow MCP servers on the device, and streams a provable audit trail to your SIEM.

## What SealGate gives security engineers

### Deterministic CEL policy

Access control is written in a Common Expression Language DSL, so rules are explicit and reviewable, not a prompt you hope the model respects.

### Enforcement before execution

SealGate blocks a dangerous tool call at runtime, before it runs, rather than flagging it after the data has already moved.

### Injection and tool-poisoning defense

It detects and stops prompt injection, tool poisoning and rug-pull attacks on the tool-call path, the failure modes a static scan only flags.

### DLP, PII and secrets scanning

Every tool input and output is inspected for sensitive data and secrets at runtime, so a leak is blocked at the point of the call.

## How SealGate delivers this

[How the SealGate gateway works](https://sealgate.ai/product) [Runtime DLP and prompt-injection defense](https://sealgate.ai/security) [Self-hosting and data residency](https://sealgate.ai/self-hosting) [Pricing and plans](https://sealgate.ai/pricing)

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## Frequently asked questions

How are SealGate policies written? In CEL, a Common Expression Language DSL, so access-control rules are deterministic and reviewable. You express which agents can call which tools under which conditions, and the engine enforces it on every call.

How is this different from prompt-based guardrails? Prompt guardrails are probabilistic and can be talked around. SealGate enforces policy deterministically at the gateway and blocks the call before it executes, so safety does not depend on the model choosing to comply.

## SealGate for other teams

[SealGate for CISOs](https://sealgate.ai/for/ciso) [SealGate for IT admins](https://sealgate.ai/for/it-admins) [SealGate for platform teams](https://sealgate.ai/for/platform-teams) [See all teams](https://sealgate.ai/for)

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