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Top 10 predictions of how AI is going to improve cybersecurity In 2021

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There is no denying that Artificial Intelligence (AI) is the future of cybersecurity. In other words, the future of cybersecurity lies in the hands of Artificial Intelligence (AI). Companies or medium-sized corporations can counter various cyber threats using the advanced concepts of AI. If you want to know about different AI predictions that will positively influence cybersecurity in 2021 and in the future, read this post in detail. According to a recent research conducted by Trend Micro, Artificial Intelligence (AI) will replace the need for human beings by the end of 2030.


AI ups the ante for IoT cybersecurity – Urgent Comms

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Securing vast and growing IoT environments may not seem to be a humanly possible task--and when the network hosts tens or hundreds of thousands of devices the task, indeed, may be unachievable. To solve this problem, vendors of security products have turned to a decidedly nonhuman alternative: artificial intelligence. "Cyberanalysts are finding it increasingly difficult to effectively monitor current levels of data volume, velocity and variety across firewalls," CapGemini noted in a survey research report, "Reinventing Cybersecurity With Artificial Intelligence." The report also noted that traditional methods may no longer be effective: "Signature-based cybersecurity solutions are unlikely to deliver the requisite performance to detect new attack vectors." In addition to conventional security software's limitations in IoT environments, CapGemini's report revealed a weakness in the human element of cybersecurity.


Machine learning offers fresh approach to tackling SQL injection vulnerabilities

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UPDATED A new machine learning technique could make it easier for penetration testers to find SQL injection exploits in web applications. Introduced in a recently published paper by researchers at the University of Oslo, the method uses reinforcement learning to automate the process of exploiting a known SQL injection vulnerability. While the technique comes with quite a few caveats and assumptions, it provides a promising path toward developing machine learning models that can assist in penetration testing and security assessment tasks. Reinforcement learning is a branch of machine learning in which an AI model is given the possible actions and rewards of an environment and is left to find the best ways to apply those actions to maximize the reward. "It's inevitable that AI and machine learning are also applied in offensive security," Laszlo Erdodi, lead author of the paper and postdoctoral fellow at the department of informatics at the University of Oslo, told The Daily Swig.


How effective will AI be for cybersecurity? (Includes interview)

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AI can assist with cybersecurity and aiding financial institutions in terms of fraud prevention. Complex algorithms allow computers to solve problems that were previously only solvable by humans, such as detecting unusual fraud patterns or strange spending fluctuations or with questionable invoices. However, it remains that AI for cybersecurity companies need to be careful to not overly rely on it for their security, or they could be setting themselves up for problems. As an example, firms needs to pay attention to proper implementation of the cognitive capabilities of AI to ensure that it can really detect a threat. However, artificial intelligence does not always work and there remains a learning curve, according to Mike Cutlip, who is the Chief Executive Officer at Authoriti.


Can Artificial Intelligence Bring an End to Cyberbullying?

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Before we were so connected by technology, bullying was most frequently identified in school settings. For example, remember Scut Farkus in "A Christmas Story" or Brian Johnson (Anthony Michael Hall's character) in "The Breakfast Club?" But Bullying is not just for kids. Harassment and hate speech exists in the workplace and socially among adults. So, what's changed, and what can be done about it? Online activity, such as social media, texting, and gaming, provides constant contact and further reach with our peers, colleagues, friends, and even strangers.


How artificial intelligence can fight cyberattacks

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From an organisational perspective, apart from loss of critical information, financial losses, reputational damages and disruption in operations, in most cases, it becomes impossible to identify the intensity of the cyberattack, and the amount of data that was actually compromised often remains unknown. This was witnessed even recently when hackers launched attacks on multiple Indian pharmaceutical companies where, till date, there is no visibility on the degree of attack and the nature of data that was compromised. Cybersecurity is a critical aspect for all organisations today. Unfortunately, most businesses are not adequately equipped to handle these complex cyber threats simply because they continue to rely on traditional techniques. They do not possess the high-end tools required to quickly identify and recover from threats which, if adopted, can go a long way in ensuring cybersecurity.


AI Will Become the Criminal Hacker's Best Friend (and Worst Enemy)

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Like in any battle, the ability to harness new technologies can be a decisive factor in victory. In cybersecurity, that new technology is artificial intelligence, and it will benefit both sides. Téléchargez la publication 7 Business Models - 7 Secteurs pour vous inspirer en 2017! Téléchargez la publication 55 Questions pour Imaginer votre Business Models!


Artificial Intelligence in Healthcare: Steps in Overcoming Resistance in Adoption

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When people hear the term Artificial Intelligence, the first thing that comes to mind is probably robots taking over jobs and rendering several humans jobless. Blame it on movies, novels or even documentaries but these concerns are here to stay. The Russian TV show with English voiceover and subtitles "Better than Us" is one of the most vivid examples of bot takeover of human jobs. With rapid growth AI-driven computers growing, especially in the medical space, there are concerns about AI taking over healthcare and these concerns just might be valid. According to Dr. Muhammad Mamdani, Director of the Centre for AI Research and Education in Medicine (CAIREM) "Health care is lagging when it comes to the digital revolution and artificial intelligence, in comparison with other sectors. There will be dramatic and transformative changes."


[2021 Update] Trends in AI and Machine Learning

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Artificial Intelligence (AI) and Machine Learning (ML) are buzzwords that nearly everyone has heard these days. But, even those who aren't familiar with them encounter these new technologies almost every day. Research shows that 77% of the devices that we currently use have AI built into them. From a bevy of "smart" devices to Netflix recommendations to products like Amazon's Alexa and Google Home, AI is the force behind many modern technological comforts that are now part of our day-to-day lives. Besides, there are tons of innovative uses for Artificial Intelligence and Machine Learning.


Role of Artificial Intelligence in Financial Fraud Detection

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Until a few years ago Artificial Intelligence seemed like a thing from sci-fi movies. The whole concept seemed like fiction or a far fetched dream fed by wishful thinking. Then came personal assistants like Siri, Google Assistant, Bixby, Alexa and Cortana, which made the people realise that they could have something like a Jarvis in their homes as well. However, these are just known as weak AIs. Strong AIs are theoretically able to work with human cognitive abilities.