- Insights: CSO Security Capabilities Survey 2019
- The NDB scheme ferreted out nearly 1000 data breaches in its first year. Now, the harder part begins.
- Executives’ dismissive cybersecurity attitudes set the stage for Toyota, Cabrini, Parliament, and other breaches
- A third of Chrome extensions use libraries with known vulnerabilities, a handy new tool finds
- Cisco warns on Hyperflex security vulnerabilities
Benefits of Machine Learning
As threats have grown more sophisticated, they’ve developed the ability to evade available detection tools and strategies. Machine learning can be useful in identifying advanced persistent threats, but this requires an understanding of the relationship between data features as well as knowledge of the malware landscape to be truly effective. The optimal approach uses an APT solution that is hardened by machine learning coupled with next-generation analysis, in order to sustain precise and responsive detection of current and future generations of threats.
- Katja Forbes: AI is going to test your organisation’s trustworthiness
- WeWork: To attract the best talent, you have to offer the best environment
- CMO's top 8 martech stories for the week - 21 February 2019
- Google hits back at ACCC, says algorithm regulator risks poor outcomes
- ASMR: Flash in the marketing pan, or something more?