Security & Privacy


Artificial Intelligence and Machine Learning

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Artificial Intelligence and Machine Learning are the two major foundations of the cybersecurity industry for the past few years. Some of the people think that both these terms have a similar meaning, but that's just a false notion! Here we will explain a complete insight about how AI and ML are essential for the cybersecurity solutions for your business protection. Artificial intelligence (AI) in the form of information that is based on machines and machine learning is just a sample framework of artificial intelligence. In the concept of machine learning, computers learn on their own.


Deep learning and machine learning to transform cybersecurity

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CYBERSECURITY specialists have been betting on artificial intelligence (AI) to defend their organizations against sophisticated cyberattacks for quite a while now -- and it seems as though deep learning and machine learning have the potential to deliver. AI is a broad term that encompasses computer vision, machine learning, and deep learning, and generally offers the ability to mimic human actions, intelligently, and at incredible speed. For hackers trying to "guess" a password, it means AI can not only use "trial and error" to break into a victim's account much faster but also do it intelligently so that that the account doesn't get locked before the right password is guessed. On the other side of the fence, or network, cybersecurity professionals didn't immediately benefit from AI because systems in place don't automatically lend themselves to the technology -- however, experts bet on two niche elements of AI to find a solution. Those niche areas are machine learning and deep learning.


The Growing Role of Machine Learning in Cybersecurity - SecurityRoundTable.org

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Why has machine learning become so critical to cybersecurity? With machine learning, cybersecurity systems can analyze patterns and learn from them to help prevent similar attacks and respond to changing behavior. Machine learning helps cybersecurity teams be more pro-active in preventing threats and responding to active attacks in real time. Machine learning can reduce the amount of time spent on routine tasks and enable organizations to use their resources more strategically. In short, machine learning can make cybersecurity simpler, more proactive, less expensive and far more effective.


How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

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The world is going digital at an unprecedentedly fast pace, and the change is only going to go even faster. The digitalization means everything is moving at lightning speed – business, entertainment, trends, new products, etc. The consumer gets what he or she wants instantly because the service provider has the means to deliver it. While the conveniences and benefits of this digital era are many, it also brings with it several negatives. One of the most significant and destructive threats it poses is that our private information is at risk like never before.


How Artificial Intelligence Is Changing Cyber Security Landscape and Preventing Cyber Attacks

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Is Artificial Intelligence & Machine Learning A Bane To Cybersecurity? … if and when they learn to use AI and machine learning to do the dirty work.


Whoa, bot wars: As cybercrooks add more AI to their arsenal, the goodies will have to too

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Infosec techies should prepare to both fend off AI attacks and welcome the technology into their armoury of tools, reckons Trend Micro's director of cybercrime research. The security world is standing on the brink of an AI-powered arms race, claimed Rob McArdle at the firm's Cloudsec conference in London today. Speaking on stage alongside Rik Ferguson, Trend's refreshingly British research veep, McArdle warned that "deepfake ransomware" was one potential attack vector of the near future. Describing the technique, McArdle said an attacker could use deepfake tech to create a video with blackmail potential: the obvious use case is something involving nudity, or perhaps someone making outrageous statements. The attacker could then upload that video somewhere and send the mark a private link along with threats to publish the video widely unless large sums of money were paid immediately.


AI alters images to fool radiologists--it may be a target for cyberattacks

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A new study found that machine learning networks can learn to alter images so they are indistinguishable from real ones. Researchers warned this may tempt criminals to use such platforms for cybersecurity attacks.


Fraudsters deepfake CEO's voice to trick manager into transferring $243,000

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It's already getting tough to discern real text from fake, genuine video from deepfake. Now, it appears that use of fake voice tech is on the rise too. That's according to the Wall Street Journal, which reported the first ever case of AI-based voice fraud -- aka vishing (short for "voice phishing") -- that cost a company $243,000. Don't miss Hard Fork Summit in Amsterdam In a sign that audio deepfakes are becoming eerily accurate, criminals sought the help of commercially available voice-generating AI software to impersonate the boss of a German parent company that owns a UK-based energy firm. They then tricked the latter's chief executive into urgently wiring said funds to a Hungarian supplier in an hour, with guarantees that the transfer would be reimbursed immediately.


Global Artificial Intelligence in Cybersecurity Market, Top key players are Acalvio Technologies, Inc., Amazon.com, Inc., Argus Cyber Security, Bitsight Technologies, Cylance, Inc., Darktrace Limited, Deep Instinct, Feedzai S.A., Fortscale Security, Inc – Financial Newspaper

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The global artificial intelligence in cybersecurity market is expected to grow from USD 4.13 billion 2017 to USD 26.80 billion by the end of 2024 at a Compound Annual Growth Rate (CAGR) of 30.64%. "Need to adapt to changing threats landscape from growing adoption of IoT and an increasing number of connected devices is one of the factors largely attributing to the growth of artificial intelligence in cybersecurity market globally" The factors attributing to the growth of the market are need to adapt to changing threats landscape from growing adoption of iot and an increasing number of connected devices, need to handle huge volumes of security data and accelerate detection and response times, and constantly increasing cyber terrorism. However, some factors such as inability of ai to restrict advance threats and zero-day attacks, and rapidly increasing instances of data poisoning attacks may hinder the market growth. The global artificial intelligence in cybersecurity market is expected to showcase the opportunities such as and ai featured security products to reduce false alerts, make investigations more efficient, and aid speed up the discovery of and response to cyber attacks. In the near future, the market may face the possible challenges in the growth due to evolving nature of cyber-attacks, and budgetary constraints.


5 Important Benefits that AI Brings to Cloud Security

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As the cyber threats become more advanced with each passing year, so should the technologies that businesses implement to elevate cybersecurity and prevent cyberattacks and data leaks. The modem hacker is smart and cunning, and they will try to exploit every possible loophole in your firewall and security structure to gain access to your IT infrastructure, tap into your data centers, and sell all of that valuable information to the highest bidder. Most importantly, understand that the modern hacker has all of the sophisticated tech and software needed to enter your system. This is why forward-looking companies have begun implementing AI and machine learning into their strategies in order to strengthen their cybersecurity as a whole. Let's explore the five important benefits that AI brings to the table, and how your business can benefit from its implementation when it comes to cloud security.