Microsoft recently acknowledged Russian hackers successfully cyberattacked them. If hackers can penetrate their internal systems, what are the chances your company will suffer the consequences of a future hack? What the Russians have done is very bad, but it's only an example of the cyber threats we all face. The cyber threat world is an arms race. The hackers are starting to use AI, and the only way to successfully defend against future threats is for your company to use AI as well.

Artificial Intelligence (AI) is one of the main weapons by which companies or medium-sized corporations can combat numerous cyber threats successfully. According to Warren Buffet, "Cyber-attack is the biggest threat to mankind, even more of a bigger threat than the nuclear weapon." Therefore, organizations should consider applying the concepts of AI within their workplaces if they want to prosper in the future without compromising their digital anonymity. Continue reading this post to know what is AI and how it is transforming cybersecurity for all the right reasons. Artificial Intelligence (AI) is a modern branch of computer science.

By Abhay Pendse We are living in a digital age where digital ecosystems form the backbone of our day to day lives. Cyberattacks are increasingly targeting the digital ecosystems. As advances in Artificial Intelligence (AI) and Machine learning (ML) move at breakneck speed, use of AI and ML is expected to grow at heartening pace in cyber defences and will add tremendous intelligence and power to fight against cyberattacks. Cybersecurity attacks keep growing at an alarming speed and keep getting more sophisticated with IoT attacks, data breaches, spam and phishing, crypto jacking, mobile malware and ransomware. Data losses and disruption due to these attacks continue to be significant for businesses and organizations, both in monetary terms and in damage to their reputations.

We detail how cybersecurity startups are using AI to take a new approach to counter some of the most significant cyber threats. Cybersecurity companies saw a record number of funding deals last year and on a quarterly basis Q1'17 was the most active quarter for deals to private cybersecurity companies over the last five years. Alongside overall rising investment activity, a number of cybersecurity companies are emerging to offer up novel solutions to age-old cyber threats by leveraging artificial intelligence (AI). According to CB Insights' AI Deals Tracker, cybersecurity is the fourth most active industry for deals to companies applying AI. But how exactly does AI put these cybersecurity companies in a unique position within this rapidly evolving industry?

Cybersecurity companies saw a record number of funding deals last year and on a quarterly basis Q1'17 was the most active quarter for deals to private cybersecurity companies over the last five years. Alongside overall rising investment activity, a number of cybersecurity companies are emerging to offer up novel solutions to age-old cyber threats by leveraging artificial intelligence (AI). According to CB Insights' AI Deals Tracker, cybersecurity is the fourth most active industry for deals to companies applying AI. But how exactly does AI put these cybersecurity companies in a unique position within this rapidly evolving industry? We also include notable cybersecurity startups using AI to address each threat.

IoT & Endpoints: IoT devices and other endpoints, including smartphones, tablets, and laptops within enterprise networks, pose a specific threat to individuals and organizations. Today's connected devices lack supporting infrastructure for robust security protocols. Old-school approaches to defending these devices include pushing security updates from the cloud to the device, but with the dynamic nature of malware today, connected devices do not have enough memory or computing power to effectively store protocols to deal with the multitude of threats that come their way. Instead, the new-school approach involves utilizing machine learning algorithms that can monitor network device traffic to model a baseline of "normal" device behavior, and subsequently flag when the normal behavior of an IoT ecosystem is compromised. Startups addressing the threats facing IoT and endpoints include: Fortscale Security, Tanium, and CUJO.