Cybersecurity experts said that Machine Learning and Artificial Intelligence have positively and negatively affected cybersecurity. Although relatively new AI security tools are often used to define "good" as opposed to "bad" by comparing the behavior of entities throughout the environment with those living in similar environments. Artificial intelligence algorithms are used to train data to respond to different situations. Artificial Intelligence is helping Cybersecurity to accelerate its technological progress. Security experts, including CISOs with products purporting to use artificial intelligence to dramatically improve the accuracy and efficiency speed of both threat detection and response.

Thieves used voice-mimicking software to imitate a company executive's speech and dupe his subordinate into sending hundreds of thousands of dollars to a secret account, the company's insurer said, in a remarkable case that some researchers are calling one of the world's first publicly reported artificial-intelligence heists. The managing director of a British energy company, believing his boss was on the phone, followed orders one Friday afternoon in March to wire more than $240,000 (roughly Rs. 1.7 crores) to an account in Hungary, said representatives from the French insurance giant Euler Hermes, which declined to name the company. The request was "rather strange," the director noted later in an email, but the voice was so lifelike that he felt he had no choice but to comply. The insurer, whose case was first reported by the Wall Street Journal, provided new details on the theft to The Washington Post on Wednesday, including an email from the employee tricked by what the insurer is referring to internally as "the false Johannes." Now being developed by a wide range of Silicon Valley titans and AI startups, such voice-synthesis software can copy the rhythms and intonations of a person's voice and be used to produce convincing speech.

The request was "rather strange," the director noted later in an email, but the voice was so lifelike that he felt he had no choice but to comply. The insurer, whose case was first reported by the Wall Street Journal, provided new details on the theft to The Washington Post on Wednesday, including an email from the employee tricked by what the insurer is referring to internally as "the false Johannes." Now being developed by a wide range of Silicon Valley titans and AI start-ups, such voice-synthesis software can copy the rhythms and intonations of a person's voice and be used to produce convincing speech. Tech giants such as Google and smaller firms such as the "ultrarealistic voice cloning" start-up Lyrebird have helped refine the resulting fakes and made the tools more widely available free for unlimited use. But the synthetic audio and AI-generated videos, known as "deepfakes," have fueled growing anxieties over how the new technologies can erode public trust, empower criminals and make traditional communication -- business deals, family phone calls, presidential campaigns -- that much more vulnerable to computerized manipulation.

It seems like every few days there's another example of a convincing deepfake going viral or another free, easy-to-use piece of software (some even made for mobile) that can generate convincing video or audio that's designed to trick someone into believing a piece of virtual artifice is real. But according to The Wall Street Journal, there may soon be serious financial and legal ramifications to the proliferation of deepfake technology. The publication reported last week that a UK energy company's chief executive was tricked into wiring €200,000 (or about $220,000 USD) to a Hungarian supplier because he believed his boss was instructing him to do so. But the energy company's insurance firm, Euler Hermes Group SA, told the WSJ that a clever AI-equipped fraudster was using deepfake software to mimic the voice of the executive and demand his underling pay him within the hour. "The software was able to imitate the voice, and not only the voice: the tonality, the punctuation, the German accent," a Euler Hermes spokesperson later told The Washington Post.

Thieves used voice-mimicking software to imitate a company executive's speech and dupe his subordinate into sending hundreds of thousands of dollars to a secret account, the company's insurer said, in a remarkable case that some researchers are calling one of the world's first publicly reported artificial-intelligence heists. The managing director of a British energy company, believing his boss was on the phone, followed orders one Friday afternoon in March to wire more than $240,000 to an account in Hungary, said representatives from the French insurance giant Euler Hermes, which declined to name the company. The request was "rather strange," the director noted later in an email, but the voice was so lifelike that he felt he had no choice but to comply. The insurer, whose case was first reported by the Wall Street Journal, provided new details on the theft to The Washington Post on Wednesday, including an email from the employee tricked by what the insurer is referring to internally as "the false Johannes." Now being developed by a wide range of Silicon Valley titans and AI start-ups, such voice-synthesis software can copy the rhythms and intonations of a person's voice and be used to produce convincing speech.

It's a battleground, and Symantec's Center for Advanced is leading the defensive charge. As we noted in a 2016 blog that accompanied the launch of Symantec Endpoint Protection 14, Symantec offers the most advanced machine learning available for endpoint security based on advanced feature engineering and ensembling. SEP is ranked highest for execution in Gartner's 2018 Magic Quadrant. Symantec's Managed Endpoint Detection and Response Service beefs up SEP and extends clients' in-house skillsets with world-class dedicated experts who specialize in hunting and investigating early indicators of threats, whether the danger is unfolding on-site or in the cloud. Another market-leading product in this lineup--one that's used extensively by financial services--is Symantec's Data Loss Prevention.

Anti-Virus software is the layman's solution to cybersecurity. Functioning as a first line of defense, Anti-Virus software works to prevent, detect, and remove malware from your computer. However, Anti-Virus software is not a cure all solution. In fact, IMB Knowledge Center published a piece on the limitations of Anti-Virus protection. In the article, they cite file size, scan time, and nesting depth as a few of the limitations.

Anti-Virus software is the layman's solution to cybersecurity. Functioning as a first line of defense, Anti-Virus software works to prevent, detect, and remove malware from your computer. However, Anti-Virus software is not a cure all solution. In fact, IMB Knowledge Center published a piece on the limitations of Anti-Virus protection. In the article, they cite file size, scan time, and nesting depth as a few of the limitations.

Most of us already know that adopting new cloud applications can boost a business's productivity by enabling organizations to be more agile and ready to change course in our fast-moving and connected digital world. But the rapid adoption of cloud apps and services also brings with it profound security threats, including visibility and control challenges that aren't present in traditional on-premises environments. At the same time, the cloud - because of its interconnected, flexible and adaptable nature - can also provide new possibilities for addressing cloud security problems. By leveraging the power of the cloud with a data science and machine learning cloud-based solution, security and risk professionals can solve many of the traditional security challenges found in popular apps like Office 365, Google Drive, Salesforce and Box. In her session at 19th Cloud Expo, Deena Thomchick, Senior Director of Cloud Security at Symantec, detailed how cloud-based data science, machine learning, computational analysis and intelligent algorithms can work together to help to deliver truly intelligent and responsive security and compliance for the cloud.

Most of us already know that adopting new cloud applications can boost a business's productivity by enabling organizations to be more agile and ready to change course in our fast-moving and connected digital world. But the rapid adoption of cloud apps and services also brings with it profound security threats, including visibility and control challenges that aren't present in traditional on-premises environments. At the same time, the cloud - because of its interconnected, flexible and adaptable nature - can also provide new possibilities for addressing cloud security problems. By leveraging the power of the cloud with a data science and machine learning cloud-based solution, security and risk professionals can solve many of the traditional security challenges found in popular apps like Office 365, Google Drive, Salesforce and Box. In her session at 19th Cloud Expo, Deena Thomchick, Senior Director of Cloud Security at Symantec, detailed how cloud-based data science, machine learning, computational analysis and intelligent algorithms can work together to help to deliver truly intelligent and responsive security and compliance for the cloud.