machine learning
CISOs under pressure: Protecting sensitive information in the age of high employee turnover
In this Help Net Security interview, Charles Brooks, Adjunct Professor at Georgetown University’s Applied Intelligence Program and graduate Cybersecurity Programs, talks …
CIOs prioritize innovation over tech stack optimization
Despite economic obstacles and constraints on IT budgets, global CIOs maintain a positive outlook on the potential of technology to provide significant benefits for their …
Factors influencing IT security spending
Security executives are overwhelmingly craving more AI solutions in 2023 to help them battle the growing cybersecurity threat landscape, according to Netrix Global. 22% of …
AI: Interpreting regulation and implementing good practice
Businesses have been using artificial intelligence for years, and while machine learning (ML) models have often been taken from open-source repositories and built into …
Threat actors exploit new channels for advanced phishing attacks
Perception Point’s team has identified a 356% increase in the number of advanced phishing attacks attempted by threat actors in 2022. Overall, the total number of …
Overcoming industry obstacles for decentralized digital identities
In this Help Net Security interview, Eve Maler, CTO at ForgeRock, talks about how digital identities continue to play a critical role in how we access online services …
Assessing AI’s acquired knowledge from an organization’s database
Researchers at the University of Surrey have developed software that can assess the amount of data that an artificial intelligence (AI) system has acquired from a digital …
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, …