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A new study by computer scientists at William & Mary shows how burglars could potentially break into houses through smart home devices.

Despite gradual industry acceptance of two-factor authentication (2FA), many consumer websites still don’t provide a full set of 2FA options—including easily accessible and clear-cut information for users—according to a recent study.

Criminal cyber activity evolves at an incredible pace. Today’s cybercriminals are constantly on the lookout for security gaps that will give them access to your facilities or a wide range of important, private and sensitive information. In our increasingly interconnected world, the potential avenues of exploitation seem greater than ever.

With the barrage of information coming into a system, separating the noise from the genuine threats can be a difficult process. This is where AI can come in, to help you separate the real risks to your business from normal network noise.

For all the hundreds of firewall rules and network protocols that your security staff may put in place to better safeguard your network, sometimes there’s simply no accounting for the most unpredictable variable of them all: human behavior. Whether it be through social engineering techniques, bad actors within your own organization, or simple human error, hackers around the world are trained on how to take advantage of a company’s employees and staff in order to gain access to a protected network.

The cyber threats facing Industrial Control Systems (ICS) include nation-state attacks, hacktivists, criminals and even trusted insiders. The frequency and ferocity of attacks are growing and continue to pose a major challenge to those ICS practitioners and cybersecurity teams tasked with protecting our critical national infrastructure (CNI).

After years of breaches, stolen data, CIO/CISO resignations and huge impacts to business reputation, it’s time for the industry to rethink its approach to network security.