machine learning
Stop online counterfeiters dead in their tracks
During this Help Net Security interview, Nicole Hofmann, CEO at Sentryc, delves into the critical issue of counterfeiting and the detrimental impact it has on industries and …
Malware and machine learning: A match made in hell
We’ve been developing machine learning-based cybersecurity systems for many years and began developing automation for analysis in our labs in 2005. These early …
Fighting financial fraud through fusion centers
Keeping up with financial fraud is incredibly difficult because accurate fraud detection requires a deep, real-time analysis of all the events surrounding a transaction. …
The role of human insight in AI-based cybersecurity
To unleash the power of AI, it’s essential to integrate some human input. The technical term is Reinforcement Learning from Human Feedback (RLHF): a machine-learning technique …
ML practitioners push for mandatory AI Bill of Rights
The AI Bill of Rights, bias, and operational challenges amid tightening budgets are pressing issues affecting the adoption of ML as well as project and initiative success, …
Moving target defense must keep cyber attackers guessing
A cybersecurity technique that shuffles network addresses like a blackjack dealer shuffles playing cards could effectively befuddle hackers gambling for control of a military …
3 important changes in how data will be used and treated
Regula has presented their vision of the developments that will shape the industry’s landscape in 2023. Deepfakes, new cyber-hygiene norms, and demand for mature ID …
Open-source tool puts machine learning dataset analysis at data scientists’ fingertips
Comet released Kangas, an open-source smart data exploration, analysis and model debugging tool for machine learning. Kangas, available on GitHub, helps users understand and …
Mitigating the risks of artificial intelligence compromise
The number of cyberattacks directed at artificial intelligence (AI) continues to increase, and hackers are no longer planting malicious bugs within code – their …
Machine learning creates a new attack surface requiring specialized defenses
Machine learning (ML) inputs and outputs are becoming more widely available to customers thanks to organizations in almost every sector integrating artificial intelligence …
How to eliminate the weak link in public cloud-based multi-party computation
Secure multi-party computation (MPC) has seen steady evolution to tackle many scientific challenges. These include enabling the creation and tuning of AI or machine learning …
The role of streaming machine learning in encrypted traffic analysis
Organizations now create and move more data than at any time ever before in human history. Network traffic continues to increase, and global internet bandwidth grew by 29% in …
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