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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

Right-Hand offers an AI-driven platform for Human Risk Management, aimed at assisting organizations in mitigating cybersecurity threats stemming from human actions by automating and customizing security awareness initiatives. It employs a collection of AI agents to replicate actual social engineering tactics, including phishing and deepfake voice phishing, while also creating training materials and providing individualized learning experiences based on each employee's conduct and vulnerability levels. This platform seamlessly integrates with current security infrastructures such as SIEM, EDR, DLP, and email protection systems to consolidate alerts and pinpoint risky behaviors in real time, thus allowing organizations to assess and comprehend human risk throughout their teams. Furthermore, it features automated, gamified security awareness training that promotes safe practices through ongoing interaction, utilizing micro-learning segments, instant prompts, and behavior-focused interventions delivered via platforms like Slack, Teams, and email. By prioritizing tailored engagement, Right-Hand ensures that employees remain vigilant and informed about potential threats.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Abnormal AI No 
Cloudflare No 
CrowdStrike Falcon No 
Facebook Yes 
Microsoft Defender Antivirus No 
Microsoft Sentinel No 
Microsoft Teams No 
Mimecast Engage No 
Netskope No 
Proofpoint Emerging Threat (ET) Intelligence No 
SentinelOne Purple AI No 
Slack No 
Splunk Cloud Platform No 
X (Twitter) Yes 
YouTube Yes 

Integrations

Abnormal AI Yes 
Cloudflare Yes 
CrowdStrike Falcon Yes 
Facebook No 
Microsoft Defender Antivirus Yes 
Microsoft Sentinel Yes 
Microsoft Teams Yes 
Mimecast Engage Yes 
Netskope Yes 
Proofpoint Emerging Threat (ET) Intelligence Yes 
SentinelOne Purple AI Yes 
Slack Yes 
Splunk Cloud Platform 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

Right-Hand Cybersecurity

Founded

2019

Country

United States

Website

right-hand.ai/

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

Alternatives

DeepFake-o-meter Reviews

DeepFake-o-meter

UB Media Forensics Lab