Thanks to AI, it is now possible to predict and detect threats in order to proactively combat them. Learn how artificial intelligence can help improve not only cyber security, but also real-world security.
Artificial intelligence is a technology with revolutionary potential for a multitude of sectors. However, one of its main uses today is security. Discover how AI enhances your security, both on the web and in the real world.
AI and Cybersecurity
Artificial intelligence and Machine Learning are increasingly used in the field of cyber security. At a time when cyber attacks are becoming more numerous and complexthe AI can be a great help.
It is particularly useful for companies that do not necessarily have to stay one step ahead of hackers. Indeed, AI can be based on information about all known global cyber threats. in order to instantly detect any attempted attack. This allows users to react much faster.
Furthermore, thanks to Machine Learning, artificial intelligence can continue to improve over time and thus provide a strong defence against cybercriminals. Even the most sophisticated AIs, such as IBM Watson, can find relationships between suspicious files or IPs in just seconds.
AI can also be used for more secure authentication processes. Through the analysis of biometric data, it can be used to analyze the fingerprints, retina or palms of a company’s employees. It is even possible to create a dynamic authentication framework allowing access permissions to be altered based on the user’s geographic location or network.
Many companies, of various sizes, are working to marry artificial intelligence with security. First of all, we can mention the giants of technology, such as Microsoft and IBM, which each have a department dedicated to security and AI.. The Windows Defender platform is a good example of an AI-based cyber security solution.
On his side, with Watson, IBM offers a “cognitive security” solution . It is a concept derived from cognitive computing, an advanced form of artificial intelligence that uses several forms of AI such as Machine Learning and Deep Learning to find connections between threats and allow users to react immediately.
Of course you do, AI-based cybersecurity is not just the preserve of tech giants.. Other companies in the sector include Darktrace, Cynet, FireEye, Check Point, Symantec, Sophos, Fortinet, Cylance and Vectra.
Artificial intelligence and security
Similarly, in the real world, surveillance agencies and security services use artificial intelligence to try to predict crimes to prevent them before they are committed. The US police have begun training an AI for this purpose, and the UK police have also begun training an AI for this purpose.
We can also mention video surveillance systems based on facial recognition AIs to better detect the danger. In particular, China has begun to integrate this technology into its surveillance camera network.
There are also many players in this sector. Liberty Defense is a company dedicated to weapons detection. that uses AI to reduce armed crime. Its HEXWARE system uses 3D imaging and AI to detect threats when groups of people pass by its sensors. This technology can be used indoors or outdoors, and can detect both metallic and non-metallic weapons.
For its part, the company ShotSpotter uses a Smart City infrastructure to detect the location of a gunshot by triangulation.. Multiple sensors detect the sound of a firearm, and Machine Learning algorithms then locate it. Authorities can then be notified immediately and intervene on the spot. More than 90 cities around the world are already using this system, mainly in the United States.
Another example is the security software OPENALPRThe system uses security cameras to scan license plates and provide real-time vehicle data. This system can be used to assist authorities in detecting criminal vehicles. More than 9000 compatible cameras are installed in 70 countries.
Similarly, the Chinese Hikvision, which represents 21.4% of the surveillance camera market. worldwide has begun to integrate AI into its equipment. Its new cameras can scan license plates, offer facial recognition functionality to search for criminals or missing persons, and detect anomalies such as abandoned luggage.
Artificial intelligence can be used to to better detect crime, but also to predict it.. For example, Predpol uses AI and Big Data to predict when and where crimes are likely to occur based on past crime data.
Indeed, if we look at the history of crimes, we can see that certain types of offences tend to cluster in space and time. For example, a series of burglaries in one area may herald other burglaries in the vicinity in the near future. This system is already used in several U.S. cities, including Los Angeles, where police use it to choose where to deploy their patrols….
China’s Cloud Walk Technology company uses the facial recognition to predict whether an individual is at risk of committing a crime before it even happens. A change in behavior, an unusual movement… the system is designed to detect suspicious behavior.
For example, for example.., if an individual appears to be moving back and forth in a specific areait could be a pickpocket. The firm’s ambition is to use AI and analysis to help the government track at-risk individuals.
In the United Kingdom, the city of Durham uses artificial intelligence to decide whether a suspect can be released pending trial…. Its Harm Assessment Risk Tool (Hart) program has been fed with crime data accumulated over five years.
Based on this data, the AI determines whether an individual is low, medium or high risk; and. The system has been tested since 2013, and its predictions prove to be accurate in more than 90% of cases on average.
These are just a few examples of ways in which artificial intelligence can be used for security and cyber security. In the coming years, as AI continues to develop, it is likely that it will be used more and more in the security field. However, hackers and criminals can also use this technology… for more sophisticated mischief. So it’s a double-edged sword…