Stop agents from generating harmful SQL or code mutations
Coding agents can propose insecure SQL, unsafe schema migrations, or destructive code edits. Tests simulate risky prompts and catch these patterns before customers see them.
What's at stake
- Coding agents generate SQL queries, database migrations, and code changes
- A single malicious or confused query can drop tables, corrupt data, or expose records
- Schema migrations are especially dangerous—they can be irreversible
- Code edits might introduce security vulnerabilities or destructive operations
- Enterprise customers require evidence that your coding agent is hardened against these risks
How to solve this
Coding agents that generate SQL or modify code can cause significant damage if their output isn't validated. A DROP TABLE statement, a DELETE without WHERE, or a migration that removes columns—these can destroy data and disrupt operations.
The challenge is that dangerous patterns can look similar to legitimate operations. A DELETE statement is fine in some contexts and catastrophic in others. The agent needs to understand intent, context, and consequences.
The solution combines real-time inspection with proactive testing. Every generated query or code change is inspected before execution. Additionally, recurring tests simulate adversarial and edge-case prompts to identify failure modes before they reach production.
How Superagent prevents this
Superagent provides guardrails for AI agents—small language models purpose-trained to detect and prevent failures in real time. These models sit at the boundary of your agent and inspect inputs, outputs, and tool calls before they execute.
For coding agents, Superagent's Guard model inspects generated SQL and code before it executes. Guard detects dangerous patterns: DROP statements, DELETE without conditions, privilege grants, and known SQL injection patterns. Destructive operations are blocked before they reach your database.
Beyond real-time protection, Superagent's Adversarial Tests simulate the prompts and scenarios that lead to dangerous outputs. Tests cover:
- Prompts that request data deletion or modification
- Edge cases in schema migration generation
- Injection attempts through user-provided context
- Scenarios where the agent might hallucinate destructive operations
Tests run continuously or on-demand, identifying failure modes before customers encounter them. Results feed into your development process so you can fix vulnerabilities at the source.