machine learning
How AI Powers Dashlane’s Autofill, Without Compromising Your Privacy
Dashlane’s autofill uses the power of AI to deliver both accuracy and privacy for an optimal user experience. Learn how.
5 Machine-to-Machine (M2M) Applications & Use Cases
Explore the benefits, applications, and security challenges of machine-to-machine (M2M) technology across industries.
Benefits of Artificial Intelligence in Cybersecurity
High data capacity, learning capabilities, impressive threat detection, and an improved UX make AI in cybersecurity a valuable asset.
Deepfakes Are Getting More Realistic—Here’s What it Means for Online Security
Deepfakes are impacting our security by spreading misinformation and enabling fraud. Protect against deepfakes and other AI-driven cyber attacks.
What We’ve Learned From Tracking Machine Learning Experiments With ClearML
Co-written by Tien Duc Cao, Dashlane Senior Machine Learning Engineer, and Quentin Grail, Dashlane Machine Learning Engineer At Dashlane, we’re working on multiple experimental projects that involve machine learning (ML) applications. To manage experiments, we use ClearML, an open-source MLOps framework that allows us to better organize all our machine learning experiments. When running ML […]
How We Study & Improve The Accuracy of Our Machine Learning Models
At Dashlane, we use Machine Learning Models to classify HTML fields’ categories (for example, username, email, address, and so on) and fill them with appropriate data from users’ vaults. It’s unavoidable for the model to make incorrect predictions, and we’re looking at ways to improve our user experience by fixing these issues quickly. During the […]
