Secure Your Agents Before You Ship
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Works Across Your Agent Stack
Your Agentic Security Assessment
User-supplied input is passed directly to LLM prompts without sanitization or validation. An attacker can override system instructions, extract sensitive data from the prompt context, or trigger unintended actions through crafted inputs.
Implement input sanitization layer before LLM context assembly. Add prompt boundary markers and instruction hierarchy. Ready-to-use security prompt available for your IDE.
Specialized Agents. One Continuous Loop.
An ever-evolving blueprint of your application’s threat landscape, built into every commit, update, and design iteration.
Actively interprets your application’s architecture, objectives, and operational context the way a world-class security engineer would, not through static rules or checkbox scans.
Anticipates threats, simulates potential attack paths, and guides you toward secure design decisions while you build.
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