Only 2 Days Left To Cisco Systems Inc (NASDAQ:CSCO)’s Ex-Dividend Date, Is It Worth Buying? | Latest News

If you wish to distribute a $ 0.33 dividend per month to Cisco Systems Inc. (NASDAQ: CSCO), you can purchase your shares only for a two-day dividend period until July 5, 2018. July 25, 2018 Is this a catalyst for future dividends so that dividend investors will think of a share as an investment? Look at the latest financial information from Cisco Systems, and take a closer look at its dividend features.

5 checks you should use to assess a dividend stock

When researching a dividend stock, I always follow the following screening criteria:

• Has its dividend been stable over the past (i.e. no missed payments or significant payout cuts)?
• Does it pay an annual yield higher than 75% of dividend payers?
• Is its earnings sufficient to payout dividend at the current rate?
• Has dividend per share risen in the past couple of years?
• Based on future earnings growth, will it be able to continue to payout dividend at the current rate?

Reference Link : https://simplywall.st/stocks/us/tech/nasdaq-csco/cisco-systems/news/only-2-days-left-to-cisco-systems-inc-nasdaqcscos-ex-dividend-date-is-it-worth-buying/

Cisco 2018 Annual Cybersecurity Report Reveals Security Leaders Rely on and Invest in Automation, Machine Learning and Artificial Intelligence to Defend Against Threats

SAN JOSE, Calif. – February 21, 2018 —Malware sophistication is increasing as adversaries begin to weaponize cloud services and evade detection through encryption, used as a tool to conceal command-and-control activity. To reduce adversaries' time to operate, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, reported in the 11th Cisco® 2018 Annual Cybersecurity Report (ACR). 

While encryption is meant to enhance security, the expanded volume of encrypted web traffic (50 percent as of October 2017) — both legitimate and malicious — has created more challenges for defenders trying to identify and monitor potential threats. Cisco threat researchers observed more than a threefold increase in encrypted network communication used by inspected malware samples over a 12-month period.

Applying machine learning can help enhance network security defenses and, over time, "learn" how to automatically detect unusual patterns in encrypted web traffic, cloud, and IoT environments. Some of the 3,600 security professionals interviewed for the Cisco 2018 Security Capabilities Benchmark Study report, stated they were reliant and eager to add tools like machine learning and AI, but were frustrated by the number of false positives such systems generate. While still in its infancy, machine learning and AI technologies over time will mature and learn what is "normal" activity in the network environments they are monitoring.

Reference Link : https://newsroom.cisco.com/press-release-content?type=webcontent&articleId=1911494