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Description
Unlock the advantages of generative AI for your business while minimizing associated risks. Ensure safe organizational use of AI through enhanced visibility and effective remediation, all while utilizing your current security framework. Maintain awareness of your AI landscape by obtaining a full inventory of all generative AI applications within your organization. Effectively manage AI-related risks by identifying which applications have the capacity to store and learn from your data, as well as understanding the connections between various data types and language models. With Aim, you can track AI adoption trends over time and gain crucial insights that are vital for business operations. Aim equips organizations to harness public generative AI technology securely, revealing hidden shadow AI tools and their potential risks while implementing real-time data protection strategies. By securing your internal language model deployments, Aim enhances the productivity of AI copilots, addressing misconfigurations, identifying threats, and strengthening trust boundaries for a safer AI environment. This approach fosters a culture of innovation while ensuring that your organization remains protected in an evolving digital landscape.
Description
Integrate security measures at the design phase to enhance development speed while ensuring comprehensive visibility into potential risks associated with upcoming tasks, implementing automated security design assessments, and establishing tailored mitigation strategies. Security teams are required to be knowledgeable about a wide array of products, applications, standards, and frameworks as they provide support to hundreds of engineers simultaneously. Delays in remediation contribute to waste in the development process and can hinder timely product launches. The reliance on manual, inconsistent, and belated security evaluations creates unnecessary tension between security and engineering teams. Engaging in insecure development practices can culminate in expensive breaches that are often preventable. By identifying risks at an early stage, teams can gain complete insight into planned development activities. This approach allows for the streamlined scaling of product security without the need for additional resources. Furthermore, it accelerates development speed by aligning security requirements with the specific standards of your organization. Ultimately, this strategy ensures that products, features, and development modifications are inherently secure from the outset, fostering a culture of proactive risk management. This proactive stance not only protects assets but also cultivates trust with stakeholders and customers alike.
API Access
Has API
API Access
Has API
Integrations
Amazon Bedrock
Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Azure OpenAI Service
Bing
ChatGPT
Grammarly
Microsoft 365 Copilot
Integrations
Amazon Bedrock
Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Azure OpenAI Service
Bing
ChatGPT
Grammarly
Microsoft 365 Copilot
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
Aim
Website
www.aim.security/
Vendor Details
Company Name
Prime
Founded
2023
Country
Israel
Website
www.primesec.ai/
Product Features
Product Features
Application Security
Analytics / Reporting
Open Source Component Monitoring
Source Code Analysis
Third-Party Tools Integration
Training Resources
Vulnerability Detection
Vulnerability Remediation