Former Acting Defense Secretary Chris Miller joined'Fox & Friends' to discuss the latest on the escalation in the Middle East as the U.S. continues to strike Iranian proxies. Despite a month of U.S.-led airstrikes, Yemen's Iran-backed Houthi rebels remain capable of launching significant attacks -- just this week, they seriously damaged a ship in a crucial strait and apparently downed an American drone worth tens of millions of dollars. The continued assaults by the Houthis on shipping through the crucial Red Sea corridor -- the Bab el-Mandeb Strait -- against the backdrop of Israel's war on Hamas in the Gaza Strip underscore the challenges in trying to stop the guerrilla-style attacks that have seen them hold onto Yemen's capital and much of the war-ravaged country's north since 2014. Meanwhile, the campaign has boosted the rebels' standing in the Arab world, despite their own human rights abuses in a yearslong stalemated war with several of America's allies in the region. And the longer their attacks go on, analysts warn the greater the risk that disruptions to international shipping will begin to weigh down on the global economy.

Several threat detection and response platforms are using machine learning and artificial intelligence (AI) as essential technologies. Security teams benefit from being able to learn on the go and automatically adjust to evolving cyber threats. Yet, certain ethical hackers are also evading security measures, finding new vulnerabilities, and scaling up their cyberattacks at an unprecedented rate and with fatal outcomes by utilizing machine learning and AI. Below are the top 9 ways ethical hackers will use machine learning to launch attacks. Machine learning has been used by defenders for decades to identify spam.

Defined as the "ability for (computers) to learn without being explicitly programmed," machine learning is huge news for the information security industry. It's a technology that potentially can help security analysts with everything from malware and log analysis to possibly identifying and closing vulnerabilities earlier. Perhaps too, it could improve endpoint security, automate repetitive tasks, and even reduce the likelihood of attacks resulting in data exfiltration. Naturally, this has led to the belief that these intelligent security solutions will spot - and stop - the next WannaCry attack much faster than traditional, legacy tools. "It's still a nascent field, but it is clearly the way to go in the future. Artificial intelligence and machine learning will dramatically change how security is done," said Jack Gold, president and principal analyst at J.Gold Associates, when speaking recently to CSO Online.

Defined as the "ability for (computers) to learn without being explicitly programmed," machine learning is huge news for the information security industry. It's a technology that potentially can help security analysts with everything from malware and log analysis to possibly identifying and closing vulnerabilities earlier. Perhaps too, it could improve endpoint security, automate repetitive tasks, and even reduce the likelihood of attacks resulting in data exfiltration. Naturally, this has led to the belief that these intelligent security solutions will spot - and stop - the next WannaCry attack much faster than traditional, legacy tools. "It's still a nascent field, but it is clearly the way to go in the future. Artificial intelligence and machine learning will dramatically change how security is done," said Jack Gold, president and principal analyst at J.Gold Associates, when speaking recently to CSO Online.

Defined as the "ability for (computers) to learn without being explicitly programmed," machine learning is huge news for the information security industry. It's a technology that potentially can help security analysts with everything from malware and log analysis to possibly identifying and closing vulnerabilities earlier. Perhaps too, it could improve endpoint security, automate repetitive tasks, and even reduce the likelihood of attacks resulting in data exfiltration. Get the latest from CSO by signing up for our newsletters. Naturally, this has led to the belief that these intelligent security solutions will spot - and stop - the next WannaCry attack much faster than traditional, legacy tools.

The Pentagon may soon be unleashing a 21st-century version of locusts on its adversaries. This is after it successfully tested a swarm of 103 micro-drones that many are tipping to be its next'super-weapon'. The drones are capable of confusing enemy defences and blocking radar signals. They could be used as a swarm of spy cameras to track down terrorists running to escape. Improvements in artificial intelligence allowed scientists to design the robots that work together as a team.