Symantec


cyber security: Hackers to exploit AI technology for data breaches in 2018: Symantec - The Economic Times

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NEW DELHI: Cyber-criminals will use Artificial Intelligence (AI) and Machine Learning (ML) to explore victims' networks in 2018, global cyber security leader Symantec said on Thursday. Furthermore, the Internet of Things (IoT) devices will be hijacked and used in Distributed Denial of Service (DDoS) attacks, warned Tarun Kaura, Director, Product Management, APJ, Symantec. "2018 is the first year where we will see AI versus AI in a cybersecurity context. Cyber criminals will use AI to attack and explore victims' networks, which is typically the most labour-intensive part of compromise after an incursion," Kaura said in a statement. In 2017, we saw massive DDoS attacks using hundreds of thousands of compromised IoT devices in people's homes and workplaces to generate traffic.


Hackers Will Use AI, Machine Learning for Data Breaches in 2018: Symantec

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Cybercriminals will use Artificial Intelligence (AI) and Machine Learning (ML) to explore victims' networks in 2018, global cyber-security leader Symantec said on Thursday. Furthermore, the Internet of Things (IoT) devices will be hijacked and used in Distributed Denial of Service (DDoS) attacks, warned Tarun Kaura, Director, Product Management, APJ, Symantec. "2018 is the first year where we will see AI versus AI in a cyber-security context. Cybercriminals will use AI to attack and explore victims' networks, which is typically the most labour-intensive part of compromise after an incursion," Kaura said in a statement. In 2017, we saw massive DDoS attacks using hundreds of thousands of compromised IoT devices in people's homes and workplaces to generate traffic.


Veritas must reassure APAC customers about private equity ownership

ZDNet

According to Forrester's senior analysts Naveen Chhabra, Veritas customers in Asia-Pacific remained unconcerned about the separation from Symantec since both vendors always had operated separately. Chris Lin, Veritas' senior vice president and Asia-Pacific Japan president, concurred, adding that localisation needs for the region included multi-language support and considerations for local cloud environments, such as data sovereignty regulations. The vendor's Asia-Pacific Japan vice president and head of technology, Andy Ng, added that the software vendor released more products in the past 10 months than it did during its 10-year history under Symantec. Asked if this assessment was on point, Veritas' senior marketing director of software-defined storage Dan O'Farrell said the vendor already had invested significant efforts in machine learning to better predict and manage business storage environments.


Combatting Advanced Cybersecurity Threats with AI and Machine Learning

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Prevent, detect, respond and assess, all through a single agent Did you know McAfee is no longer a leader in industries Magic Quadrant? And with all that, are you getting the right level of endpoint protection against advanced threats? Symantec provides the most complete endpoint security in the world - from threat prevention, detection, response and assessment with the highest efficacy and performance. In this webinar, you'll learn how to: - Drastically improve your protection and security posture with various next-gen capabilities like Advanced Machine Learning and Exploit Prevention - Perform incident investigation and response using the same agent using the integrated Endpoint Detection and Response solution - Obtain automated security risk assessment and track effectiveness against security policy changes via a cloud console - Lower your IT burden and reduce complexity with everything built into a single agent - Facilitate a painless migration and get your IT staff up-to-speed Finally, watch a demo that showcases how Symantec helps stop ransomware and unknown threats with Next-gen technologies built into a single light weight agent.


The downside of machine learning: It helps scammers target 400 companies daily with fake emails - SiliconANGLE

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Scammers are now using machine learning tools to mine social media data and target the executive organization chart with fraudulent emails that look and sound like they came from someone inside the company. Instead, they are targeted to specific company executives using data gathered from social media profiles and even the company's own website. According to Singh, machine learning helped ingest key data points, such as Twitter users who sent a higher number of tweets, to predict the likelihood of a successful response to a carefully designed fake email. Companies also should perform penetration testing inside the organization by sending fake emails internally, while educating unsuspecting users on the dangers of accepting their validity.


Las Vegas Will Use AI To Protect Against Ransomware And Phishing

International Business Times

The city's information security team, which comprises of only three people, relies on artificial intelligence (AI) to protect it against ransomware and phishing. The system, which protects Vegas, is called the Enterprise Immune System uses machine learning algorithms created by a team of mathematicians from the University of Cambridge. The company says that its machine learning system is based on the self-learning intelligence of the human immune system and learns patterns of cyber attacks fast and prepare the city's defense better. Podesta received a mail, which looked like an authentic Google mail asking him to change his password to make his account secure.


Symantec Ventures forms to boost cybersecurity startups ZDNet

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Symantec has announced the formation of a new venture arm, Symantec Ventures, to help cybersecurity startups make the transition from ideas to profits. Entrepreneurs tapped by the new venture capital arm will be given not only cash but access to Symantec technology including the Integrated Cyber Defense Platform for enterprises and the Digital Safety Platform for consumers, depending on the focus of the startup. "We can help startups by allowing them to build on our extensible Integrated Cyber Defense Platform. In November last year, Symantec launched Endpoint Protection 14, a security solution which is designed to harness artificial intelligence to protect clients.


Machine learning in cybersecurity: what is it and what do you need to know?

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At the moment, ABI's report says, User and Entity Behavioural Analytics - using machine learning for threat detection by analysing data at scale - is the driving force. "Using static machine learning models to detect previously unknown malware is the only use case I'm aware of that offers clear evidence of effective results," says cybersecurity analyst at 451 Research, Adrian Sanabria. But threat detection is not a trivial matter: in Cisco's recent annual cybersecurity report, it noted that the vast majority of companies are working to improve their threat detection capabilities. Vectra's Gunter Ollman warns that professional attackers are studying machine learning very closely - and many of them are already data scientists.


Machine learning in cybersecurity: what is it and what do you need to know?

#artificialintelligence

At the moment, ABI's report says, User and Entity Behavioural Analytics – using machine learning for threat detection by analysing data at scale – is the driving force. "Using static machine learning models to detect previously unknown malware is the only use case I'm aware of that offers clear evidence of effective results," says cybersecurity analyst at 451 Research, Adrian Sanabria. But threat detection is not a trivial matter: in Cisco's recent annual cybersecurity report, it noted that the vast majority of companies are working to improve their threat detection capabilities. Vectra's Gunter Ollman warns that professional attackers are studying machine learning very closely – and many of them are already data scientists.


Machine Learning Gains Momentum in MSP Space

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For those in IT and – more specifically – the managed services space, tools driven by AI are increasingly popping up in everything from customer service and security, to CRM and remote monitoring and management. "There is an absolute revolution occurring in artificial intelligence," John Ball, general manager of Salesforce Einstein, told Bloomberg when that AI product launched in September. Automating customer service interactions with support bots has been among the more common early applications of AI technology. Microsoft Bot Framework is designed to work with email, texts, Facebook Instant Messenger, Skype and other platforms to provide automated service interactions with customers.