Technology companies are increasing security software capabilities to more effectively respond to the rapidly evolving threat landscape. Artificial intelligence (AI) and ML are at the heart of these efforts because they detect advanced and previously unknown malware faster than traditional antivirus solutions.

In February 2018, thousands of users were infected with the malware in USA, because a breach in existing antivirus software. Traditional security solutions are no longer a viable option, and adopting AI and ML-based solutions faster will only guarantee against persistent and awkward cyber attacks.

Microsoft was immediately alerted through cloud-based AV software. Available by default on all Windows 10 PCs, the software scans files using a lightweight machine learning (ML) model built into the client's system and finds the file suspicious.

The file is then sent to the antivirus cloud service, where the metadata-based ML classifier immediately identifies and blocks the file, while the deep learning ML model identifies the file as a variant of Trojan:Win32/Emotet, which is widely used, bank spying malware.

Apple announced at it’s 2019’s World Developers Conference (WWDC) this week that "Sign In with Apple" feature  will become a mandatory update for all Apple developers.

The timing of this announcement is perfect. First of all, privacy is currently a hot topic that everybody is interested in. Apple is committed to improving security with new login features. Some of Apple's competitors with similar capabilities may track Internet users without their knowledge. Apple claims it will not do this. Apple’s security mechanism will use your Apple ID to log in to various online services. Not only does this keep your data safe, it also limits the amount of scam and spam you receive.

Large financial companies like banks and insurance companies are in no hurry to adopt blockchain technology despite an enormous potential, states the report of a major consulting company McKinsey. Earlier, McKinsey said that the progress in blockchain software developments is negligent despite massive investment flows.

Today many governments, large investment banks and suppliers of software solutions continue experimenting with blockchain systems thinking of reducing the costs, improve speed and transparency of the transactions in broad variety of the economy, including the financial realm.