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features
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support

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Description

Aegis provides robust protection for your AI models, effectively preventing issues like model poisoning and safeguarding data integrity, allowing you to confidently implement your AI/ML initiatives in either the cloud or on-premises while maintaining a strong security posture against a constantly changing threat environment. The lack of security in AI/ML tools can widen attack surfaces and significantly increase the risk of security breaches if security teams do not remain vigilant. An inadequate security strategy for AI/ML can lead to severe consequences, including data breaches, operational downtime, loss of profits, damage to reputation, and theft of credentials. Additionally, weak AI/ML frameworks can endanger data science projects, leaving them susceptible to breaches, theft of intellectual property, supply chain vulnerabilities, and manipulation of data. To combat these risks, Aegis employs a comprehensive suite of specialized tools and AI models to scrutinize data within your AI/ML ecosystem as well as information from external sources, ensuring a proactive approach to security in an increasingly complex landscape. This multifaceted strategy not only enhances protection but also supports the overall integrity of your AI-driven operations.

Description

Silmaril is an innovative defense mechanism against prompt injection that autonomously heals itself, aiming to safeguard AI systems from sophisticated, multi-layered threats that conventional barriers cannot mitigate. Unlike traditional methods that merely filter inputs, it envelops inference calls, assessing whether the sequence of actions is steering towards a detrimental result. By employing a multihead classifier, it evaluates user intentions, application contexts, and execution states simultaneously, which allows it to identify indirect injections, multi-turn attack sequences, context manipulation, and tool exploitation before any harm can occur. To enhance its protective capabilities, Silmaril incorporates autonomous threat-hunting agents that explore systems, identify weaknesses, and produce synthetic training data based on actual attack incidents. These findings facilitate automatic model retraining, allowing for the deployment of updated defenses in less than an hour, while simultaneously disseminating anonymized protective measures across all instances. Moreover, this proactive approach ensures that the system remains resilient against emerging threats, adapting continuously to the evolving landscape of cybersecurity challenges.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Agent Development Kit (ADK)
Claude
Claude Code
CrewAI
LangChain
OpenAI
OpenClaw
Python
TypeScript
Vercel

Integrations

Agent Development Kit (ADK)
Claude
Claude Code
CrewAI
LangChain
OpenAI
OpenClaw
Python
TypeScript
Vercel

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Neysa

Website

www.neysa.ai/aegis

Vendor Details

Company Name

Simaril

Country

United States

Website

www.silmaril.dev/

Product Features

Product Features

Alternatives

Alternatives

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