Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

November 2022

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.