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What is Frame?

Frame introduces a revolutionary method for enhancing security awareness, aimed at safeguarding organizations from AI-related dangers by gaining insights into their unique circumstances and offering customized security training, simulations, and deepfake scenarios within minutes. Unlike conventional awareness programs that rely on generic resources, Frame develops training initiatives and simulations tailored to your organization's specific environment, which encompasses the threats it encounters, its policies, employee roles, technological framework, and genuine organizational context. This cutting-edge platform equips employees to tackle a diverse range of challenges, going beyond simple phishing to provide personalized instruction on identifying deepfakes, recognizing AI-driven social engineering tactics, secure coding methods, advanced security threats, compliance matters, privacy issues, developer training, and the latest security updates pertinent to your sector. The simulations created by Frame are exceptionally lifelike, crafted using details pertinent to your organization, resulting in authentic phishing emails, voice communications, and deepfake videos, all engineered with varying difficulty levels that cater to each employee's abilities. Moreover, Frame utilizes comprehensive multichannel campaigns that effectively replicate the strategies employed by real-world attackers, ensuring that your team is well-prepared for the constantly changing landscape of cybersecurity risks. By combining these elements, Frame not only enhances individual security awareness but also fosters a culture of proactive security within the organization.

What is DeepFake-o-meter?

An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.