Audience

AI developers and organizations building agent-based systems who need real-time, adaptive protection against prompt injection and multi-step AI attacks

About Simaril

Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments.

Integrations

API:
Yes, Simaril offers API access

Ratings/Reviews

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Company Information

Simaril
United States
www.silmaril.dev/

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Online

Simaril Frequently Asked Questions

Q: What kinds of users and organization types does Simaril work with?
Q: What languages does Simaril support in their product?
Q: What other applications or services does Simaril integrate with?
Q: Does Simaril have an API?
Q: What type of training does Simaril provide?

Simaril Product Features