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TrustInSoft AnalyzerTrustInSoft has developed a source code analysis tool known as TrustInSoft Analyzer, which meticulously evaluates C and C++ code, providing mathematical assurances that defects are absent, software components are shielded from prevalent security vulnerabilities, and the code adheres to specified requirements. This innovative technology has gained recognition from the National Institute of Standards and Technology (NIST), marking it as the first globally to fulfill NIST’s SATE V Ockham Criteria, which underscores the significance of high-quality software. What sets TrustInSoft Analyzer apart is its implementation of formal methods—mathematical techniques that facilitate a comprehensive examination to uncover all potential vulnerabilities or runtime errors while ensuring that only genuine issues are flagged. Organizations utilizing TrustInSoft Analyzer have reported a significant reduction in verification expenses by 4 times, a 40% decrease in the efforts dedicated to bug detection, and they receive undeniable evidence that their software is both secure and reliable. In addition to the tool itself, TrustInSoft’s team of experts is ready to provide clients with training, ongoing support, and various supplementary services to enhance their software development processes. Furthermore, this comprehensive approach not only improves software quality but also fosters a culture of security awareness within organizations.
What is Phocus?
Phocus empowers users to utilize the advanced capabilities of our AI deepfake detection API, DeepDetector. This platform allows individuals to effortlessly oversee employee accounts while submitting images or videos for comprehensive analysis through an intuitive interface. Upon submission, Phocus produces a detailed report indicating the probability that the visual content is a deepfake, featuring a heat map for deeper investigation. Furthermore, Phocus securely archives these analytical results on the platform, enabling users to conveniently access their findings whenever needed. Experience cutting-edge deepfake detection technology with Phocus, your reliable AI detection partner, and invite colleagues or external collaborators to engage in the process. The detection procedure not only uncovers potential deepfakes but also provides detailed explanations, ensuring that users comprehend the results effectively. In addition, the heat map emphasizes particular areas of the image that may warrant further scrutiny, enriching the overall analytical experience and fostering a better understanding of the content's authenticity. With Phocus, you are not only equipped to detect deepfakes but also to enhance collaboration and discussion around the findings.
What is FakeCatcher?
Intel has introduced the innovative FakeCatcher technology for deepfake detection, which analyzes the "blood flow" within video pixels to swiftly determine the authenticity of videos in just milliseconds. This cutting-edge system is integrated into popular editing software that content creators and broadcasters regularly use, facilitating the identification of altered content during the editing phase. Additionally, it plays a vital role in vetting user-generated content, ensuring that authenticity verification is an integral part of the upload process. By making deepfake detection universally accessible, it empowers both individuals and organizations to effortlessly confirm the legitimacy of videos. Deepfakes, which constitute synthetic media that misrepresent reality by fabricating actors and actions, pose a significant challenge in today’s digital landscape. While numerous deep learning detection systems focus on analyzing raw data for inconsistencies, FakeCatcher adopts a unique method by identifying genuine markers of authenticity in real footage, emphasizing the subtle evidence of human characteristics, like the slight changes in pixel color due to blood flow. As the heart pumps, the color of our veins changes, generating the distinct data that FakeCatcher leverages to differentiate between authentic and doctored videos. This groundbreaking detection technology marks a substantial advancement in the ongoing battle against the misuse of deepfake technology, providing a beacon of hope in preserving the integrity of visual media. As the prevalence of deepfakes continues to rise, the implementation of such innovative solutions will be essential in safeguarding truth in digital content.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
DuckDuckGoose
Company Location
Netherlands
Company Website
www.duckduckgoose.ai/phocus
Company Facts
Organization Name
Intel
Company Location
United States
Company Website
www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl