Nestria AI offers an agentic AI security platform that provides lifecycle visibility and ensures model integrity by detecting supply chain tampering. Its Runtime Policy Engine enforces guardrails on live AI operations, protecting against runtime exploits and data exfiltration in complex multi-agent architectures.
Funding
Funding not disclosed
Founders
Product
Problem
The rapid adoption of AI systems and agents introduces complex security risks throughout their lifecycle, from development to runtime. Organizations struggle with a lack of visibility into their AI supply chains and the integrity of deployed models, leaving them vulnerable to tampering and exploitation. Securing live AI operations against sophisticated attacks on agent behaviors and orchestration is also a significant challenge.
Solution
Nestria AI provides an agentic AI security platform designed to offer comprehensive protection for AI systems. The platform delivers deep visibility across the entire AI stack, enabling organizations to understand and audit every component. It ensures model integrity by validating authenticity and detecting supply chain tampering, such as backdoors or unauthorized modifications, before deployment. For live AI operations, Nestria's Runtime Policy Engine enforces guardrails on agent behaviors, multi-LLM orchestration, and prompt chaining to prevent runtime exploits and data exfiltration. This integrated approach allows for the safe and reliable deployment of AI, including complex multi-agent architectures.
Target Audience
Nestria AI targets organizations developing and deploying AI systems, particularly those utilizing multi-LLM and multi-agent architectures, who require robust security and integrity assurance throughout the AI lifecycle.
Features
- **AIBOM (AI Bill of Materials)**: Provides lifecycle transparency for AI systems, detailing model sourcing, dataset lineage, and deployment metadata for auditability.
- **Model Integrity Scanner**: Validates AI model authenticity and integrity, detecting supply chain risks like backdoors, unauthorized fine-tuning, and model manipulation.
- **Runtime Policy Engine**: Enforces security guardrails on live AI operations, including agent behaviors, multi-LLM orchestration, and prompt chaining to prevent runtime exploits.
- **Agent-Level Visibility**: Offers specific insights into the security posture and behavior of individual AI agents within complex workflows.
- **Multi-LLM and Multi-Agent Architecture Support**: Designed to secure complex AI deployments involving multiple large language models and autonomous agents.
- **Real-time Protection**: Delivers continuous security monitoring and enforcement for AI systems in production.