Adaptive security
guardrails for LLMs and
Agentic AI
Agentic AI
Adopt GenAI securely, with guardrails across development to deployment.
Adopt GenAI securely, with guardrails across development to deployment.
Generative AI offers immense potential but
brings new risks. Organizations need robust
solutions to keep GenAI applications secure and responsible.
Unintended Behaviors: Prompt injection & jailbreaks compromise LLM integrity.
Content Risks: Toxic or inappropriate outputs damage reputation and trust.
Data Leakage: Improper handling of sensitive information exposes businesses to compliance risks.
Guardian combines dynamic content policies, privacy controls, and advanced threat detection to protect LLMs and AI agents in real time.
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Configures and enforces role-specific access controls and content guidelines.
Identifies issues such as hardcoded secrets, model serialization attacks, and unsafe operations.
Customizable scanning policies to align with organizational security standards.
Generates comprehensive reports tied to industry benchmarks like OWASP and MITRE ATLAS.
Tracks repository changes for complete version control and transparency.
Blocks prompt injection, detects invisible text, and
redacts sensitive information dynamically.
Supports 75+ configurable policies, including topic filtering and compliance with PII regulations.
Supports multiple monitoring modes
(Audit and Block) for tailored security
needs.
Handles high-throughput environments with unlimited requests and scalable architecture.
“AIShield is the solution that we were thinking about for our healthcare solution.”
“Partnering with AIShield for AI security is already having a strategic impact on our ability to win large-scale AI RFPs.”
“AIShield solution approach is very unique and fits our need to make AI trustworthy. AIShield is a first vendor to demonstrate Security, explicability and bias solution together.”
Optimize costs with pay-per-model assessment.
Quick and scalable with automatic updates.
Deploy on your private cloud or on-premises.
Tailored pricing for large-scale deployments.