According to AV-TEST, over 390,000 malicious programs are released on the World Wide Web daily with intentions of hacking personal data, financial information and sensitive information. An average organization in the Enterprise lose over $1.3 million a year due to false security alerts triggered by confusions due to the human element in the detection process of cyber threats. The EMC global Data Protection Index says that only in the UK, over 22% business suffered data loss in 2015. Experts are now turning to unimaginable potential of Artificial Intelligence and IoT to fight cybercrimes and hacking attacks. In this article we will talk about specific instances which prove that AI and IoT are the only options that are sustainable and effective to fight cybercrime in the future.
Using IoT, Connected Devices and Sensors to Investigate
In November 2016, federal detectives used water sensors and meters to solve a murder case. How? The suspect’s water sensor showed that over 140 gallons of water was used between two hours on the day the murder happened. Later investigations revealed that the water was used to spray on the patio area to clear the murder scene. Smart home devices and Internet of Things will help fight cybercrime and real life crime because these devices will be used by almost everyone, increasing the chance of tracking down the culprits. Governments around the world could make it necessary for every home to have sensors and internet tracking devices which will help the investigators in tracking down the initiation points of cybercrimes.
MIT IoT Artificial Inteligence -Based System to Fight Cybercrime
We are already witnessing the rise of the security bots, which can optimally avert cyberattacks and predict them even before they are launched completely. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the machine-learning startup PatternEx made a system called AI2 which predicts 85% of cyber-attacks based on the inputs from human security experts. The system learns from the inputs and takes time to become almost perfect. Every time a human expert successfully predicts an attack, it logs the data and traverses through all the hints that were used to predict the attack. Similarly, the system also uses decision trees in case of bad predictions. Here is an introductory video about this system:
IBM Watson System to Curb Cyber Threats
IBM’s Watson cognitive computing is already fighting cybercrime in the industry. Over 40 companies including famous banks, software firm, health and insurance companies are using IBM Watson security system to ramp up their security against relentless cyber-attacks. Over 15,000 security documents are given to Watson as an input in an average organization which helps the system in learning and improving. IBM has a special cybersecurity research library, called X-Force, which has patterns of about 8 million spam and phishing attacks and more than 100,000 documented vulnerabilities. These documents will make IBM’s system a great tool to automate anti-cybercrime units around the world. Watson also has a question and answer feature. For example, if a security experts asks it about how to block a remote login for a particular system, Watson speaks all the steps that are needed for the task, an provides necessary links and documents to read.
Palantir Technologies Uses Big Data to Fight Online Terrorism
Palantir Technologies is a Palo Alto-based cybersecurity company which excels in online counter-terrorism solutions. The company was founded by tech billionaire Peter Theil. The company uses Big Data analyses to backtrack and reveal cyberattacks. Its two products, Palantir Gotham and Palantir Metropolis, are used by CIA, government sector, private sector organizations in the US. Palantir’s software is currently being used by Recovery Accountability and Transparency Board to detect online frauds in American Recovery and Reinvestment Act.