- Cisco hunts for Apache Struts 2 FileUpload bug and finds DIRTY CoW exploit
- Uni cans crypto-mining CPU raid by switching off whole IT network
- How nbn is using data to help fix service issues before they happen
- US DoD’s first malware submissions to Google-bought VirusTotal is Russia-linked LoJack
- Apache warns Struts 2.3 is using a library with a two year old critical flaw
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.
- Visual Studio Code’s Python add-on tries out data science
- HTC Vive unveils standalone VR headset, collaboration app for the enterprise
- Making the right hyper-convergence choice: HCI hardware or software?
- Google Cloud launches AI Hub to simplify machine learning deployment
- Experience an RDP attack? It’s your fault, not Microsoft’s