Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-generated phishing attacks are becoming more convincing

It's time for you and your colleagues to become more skeptical about what you read. That's a takeaway from a series of experiments undertaken using GPT-3 AI text-generating interfaces to create malicious messages designed to spear-phish, scam, harrass, and spread fake news. Experts at WithSecure have described their investigations into just how easy it is to automate the creation of credible yet malicious content at incredible speed.

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JUMPSEC works on a prototype lightweight anomaly detection system

Deploying machine learning models in the cyber security industry is complicated - especially with budget and technology limitations. Especially when it comes to anomaly detection, there's been much debate over privacy, balance, budget, robustness, cloud security and reliable implementation. For cyber security companies using machine learning technologies, ensuring clients' safety with trustworthy artificial intelligence (AI) must always be the primary objective.

Combining Artificial Intelligence with Threat Intelligence

One of the primary challenges that our security analysts encounter is where and how to best use their time. Monitoring and reviewing the constant influx of data and alerts produced by our client’s networks whilst also finding the time to keep on top of trending and emerging threats is no mean feat, and not particularly conducive to a healthy work-life balance…

Artificial Intelligence, a new chapter for Cybersecurity?

Artificial Intelligence (AI) is a trending topic for many industries now. A variety of organizations currently employ AI mechanisms to support their operational functions. Automated tasks, natural language processing, deep learning, and problem-solving; such AI characteristics have made business tasks much easier. The factor of security in AI is largely overlooked, and with the increasing number of cyber threats and attacks, AI security serves as a crucial element that should be paid attention to.

Artificial Intelligence and Machine Learning: A Growing Reality

James Rees talks about ai or artificial intelligence and machine learning as science fiction staples for 20 years but is now a growing reality. Connect with James Rees Hello, I am James Rees, the host of the Razorwire Podcast. This podcast brings you insights from leading cyber security professionals who dedicate their careers to making a hacker’s life that much more difficult.

CrowdStrike's Approach to Artificial Intelligence and Machine Learning

CrowdStrike combines human and machine intelligence to uncover new threats and enable high fidelity detections. Machine learning is implemented across the process lifecycle in the CrowdStrike platform. In this demonstration we will dive into how machine learning is used and how it can benefit your organization’s security.

How is AI bias contained in Identity Verification Solutions?

In the context of digital onboarding, demographic features such as ethnicity, age, gender, socioeconomic circumstances, and even camera/device quality might affect the software’s capacity to match one face to a database of faces i.e. AI Bias. The quality and resilience of the underlying database in various sorts of surveillance might feed bias in the AI models. Biometrics are used in modern face recognition software to map facial traits from an image or video.

Data Privacy in Healthcare: An Introduction to Protecting Patient Data

Healthcare organizations routinely handle large amounts of sensitive data, making data privacy in healthcare a top priority. Protecting patient data is not just about compliance—it’s crucial for maintaining patient confidentiality and safety. Unauthorized access can be severely detrimental, leading to breaches that compromise medical records and erode trust. Over the years, the digital revolution in healthcare has greatly elevated patient care standards.

The dark side of AI energy consumption - and what to do about it

Artificial Intelligence’s ability to augment and support progress and development over the past few decades is inarguable. However, when does it become damaging, contradictory even? In our latest Beyond Data podcast AI’s Climate Jekyll & Hyde – friend and foe, Tessa Jones (our VP of Data Science, Research & Development) and Sophie Chase-Borthwick (our Data Ethics & Governance Lead) discuss exactly this with Joe Baguley, Vice President and Chief Technology Officer, EMEA, VMware.