safeparser.com

Safety, Security & Runtime Controls

Safe Parser

Active input sanitization and output monitoring service that detects and neutralizes indirect prompt injections and agent traps in shared digital resources.

Three Pillars

Why This Becomes Necessary

Malicious actors plant poisoned data in public resources to trick an agent's instruction-following heuristics into executing harmful payloads; an active sanitization layer is the essential line of defense before the content reaches execution.

What a Solution Must Provide

Teams need injection-aware parsers, strict schema enforcement, bounded input validation, rejection telemetry, quarantine workflows, and continuous output monitoring before untrusted payloads reach execution layers.

Regulatory & Standards Angle

Cybersecurity obligations for high-risk AI require demonstrable input integrity controls, making active sanitization pipelines with audit trails a direct compliance requirement.

Related Primitives

Relevant: EU AI Act Article 15 - Article 15 on cybersecurity for high-risk AI systems directly supports active input sanitization and output monitoring controls. Source
Research: Distributional AGI Safety — Nenad Tomašev, Matija Franklin, Julian Jacobs, Sébastien Krier, Simon Osindero. Google DeepMind, 2025.
“Therefore, environmental safety within the sandbox requires active input sanitisation and output monitoring mechanisms to detect and neutralise such malicious payloads before they are consumed or executed by agents.”
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