AIShield

Founded by Amit Phadke in 2022

Protect machine learning and generative AI systems from attacks and vulnerabilities

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use AIShield to secure your artificial intelligence workflows across development and deployment. The software scans machine learning models and code notebooks to discover vulnerabilities before release. It performs automated red teaming against large language models to uncover prompt injections, jailbreaks, and data extraction attempts. In production, its firewall monitors incoming inputs and outgoing responses to block adversarial evasion and poison attacks. AIShield also masks personally identifiable information and generates compliance reports matching frameworks like OWASP, NIST, and MITRE ATLAS.

What AIShield does

Scan Jupyter notebooks and ML models for known vulnerabilitiesRun automated red teaming exercises against language modelsBlock adversarial inputs using an inline machine learning firewallMask sensitive personal information in prompts and model outputsExport telemetry logs directly to enterprise security information systemsGenerate security compliance documentation aligned with MITRE ATLASAutomated model scanner that inspects code notebooks and trained models for weaknessesSimulated red teaming to test large language models against prompt injection and jailbreaksReal-time machine learning firewall that blocks adversarial evasion and data poisoningGuardrails for generative AI that detect toxic content and filter out sensitive dataAutomated anonymization of personally identifiable information in prompt inputs and outputsCompliance reporting aligned with MITRE ATLAS, NIST, and OWASP security frameworksSecurity event forwarding into enterprise monitoring tools like Splunk and Microsoft Sentinel

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

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