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features
design
support

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Write a Review

Description

Deepfakes represent a formidable challenge that AI poses to humanity, marking a significant turning point in cybersecurity. The industry must act swiftly to address the threats posed by deepfakes, as their potential to erode public trust in what is real looms large. This emerging danger, characterized by the malicious deployment of AI-generated synthetic media, stands as one of the most potent cyber weapons we have encountered to date. We anticipate that harmful applications of deepfakes will soon manifest, particularly in the form of sophisticated phishing attacks. A critical obstacle remains the current inadequacy of legitimate voice-swapping technologies, which presents a far greater risk than the more commonly discussed face or head-swapping methods. With the rapid advancement of AI, the need for robust countermeasures has never been more urgent.

Description

Frame represents a groundbreaking approach to security awareness, designed to protect against AI-driven threats by understanding your organization and delivering tailored security training, simulations, and deepfake scenarios within minutes. In contrast to traditional awareness solutions that depend on one-size-fits-all resources, Frame creates training programs and simulations that reflect your specific environment, including the threats you face, your policies, employee roles, technological infrastructure, and actual organizational context. This innovative platform prepares employees for a wide array of challenges, extending beyond just phishing to include personalized training on deepfake recognition, AI-fueled social engineering tactics, secure coding practices, advanced threats, compliance issues, privacy concerns, developer education, and the latest security news relevant to your industry. The simulations provided by Frame are highly realistic, as they are developed using your organization's specifics, resulting in authentic phishing emails, voice interactions, and deepfake videos, all designed with adaptive difficulty levels that adjust to each employee's skill set. Furthermore, Frame employs multichannel campaigns that effectively simulate the tactics used by real-world adversaries, ensuring that your workforce is thoroughly prepared for the evolving landscape of cybersecurity threats.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Facebook Yes 
Gmail No 
Google Cloud Platform No 
Microsoft 365 No 
Microsoft Outlook No 
Microsoft Teams No 
Slack No 
X (Twitter) Yes 
YouTube Yes 

Integrations

Facebook No 
Gmail Yes 
Google Cloud Platform Yes 
Microsoft 365 Yes 
Microsoft Outlook Yes 
Microsoft Teams Yes 
Slack Yes 
X (Twitter) No 
YouTube No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Deepware

Country

Bosnia y Herzegovina

Website

deepware.ai/

Vendor Details

Company Name

Frame

Country

United States

Website

framesecurity.com

Product Features

Security Awareness Training

Analytics / Reporting No 
Certification Training No 
Custom Test Building No 
Gamification No 
Industry Benchmarking No 
Non-Email Based Testing No 
Online Courses No 
Phishing Simulation No 
Pre-Assessments No 
Prebuilt Training Library No 

Alternatives

DeepFake-o-meter Reviews

DeepFake-o-meter

UB Media Forensics Lab