Humans can’t keep up. Humans can’t effectively handle the flood of malware attacks, zero-day exploits, phishing, patches, updates, weak passwords, ransomware, distributed denial-of-service (DDoS) and insider incidents that occur on enterprise networks. There’s too much data to absorb, and the patterns that might indicate a vulnerability or attack are too subtle.
Artificial intelligence (AI) to the rescue, in the form of expert systems, neural networks, and machine-learning algorithms. AI can be used to discover patterns in log and transaction data, and flag outliers. AI can be used to decide if email attachments are safe or malignant. AI can make predictions, using analytics to help a Chief Information Security Officer (CISO) and his/her teams stay one step ahead of hackers.
Without AI, everything from mobile devices to cloud services are at risk, believes John Michelsen, Chief Product Officer of Zimperium, which offers a mobile threat defense solution.
“You probably have no software on your device that is detecting whether or not the device is under attack,” said Michelsen, “To solve that problem, we took the philosophy of wanting to put a nervous system on that device. It would sense attack, so it would feel what it’s like for it to be attacked, whether it’s network connection, via apps, over Bluetooth, whatever the means you could attack that device. That lent itself to non-deterministic machine learning in AI based techniques.” Zimperium’s z9 is effective against zero-day device and network attacks, and the only machine learning-based engine capable of detecting previously unknown mobile malware on-device in real-time. It is being integrated with MobileIron’s security and compliance engine and will be available as a combined solution. This integration will address one of the most significant mobile security gaps faced by enterprises: the ability to detect device, network, and application threats and immediately take automated actions to protect enterprise data.
Monitoring the Payment Cards, Protecting Institutions
MasterCard, the credit-card company, is heavily invested in AI, explained Ron Green, the company’s Executive Vice President and Chief Security Officer. “We use AI or advanced analytics to do analysis for card transactions, things that cards are doing, either the cardholder or the users of the cards. It allows us to monitor for transactions that tend to be fraudulent, so we could predictively analyze and block or stop a transaction from happening.”
The upshot: “We are able to stop the attack before the attack becomes large scale. When a company faltered or failed and allowed a bad actor to get into its systems, we can see that something has happened in that environment and we can limit the damage that that company is exposed to,” he continued, saying that MasterCard’s AI can tell if a card processor or other business been attacked based on the usage of its cards…Click HERE to read full article.
