If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Researchers simulated a real-looking "Industrial prototyping" organization with fake employees, PLCs, and websites to study the types of cyber-attacks that commonly on such networks. The elaborately fake organization's website and the network worked on a highly advanced interactive "honeypot" network that worked extensively on attracting the attention of potential hackers. The plan was to create such a legitimate-looking network that no one could even doubt it's being phony and to accumulate serious information related to cyber-threats and attacks to study and analyze them. Behind researching these threats and attack mechanisms the motive was to dig out the threats that the "Industrial control system" (ICS) sector faces today. Per sources, the sham company specifically let some ports of its network be susceptible to attack and Voila!
In the past few years, there's been a lot of buzz around artificial intelligence (AI) in cybersecurity. Can AI really help businesses improve their security posture? How can we determine which solutions actually use AI versus which ones make hyped-up claims? For solutions that can help, how do they help? Obtaining clarity around this subject will help us understand the areas in which AI can help and what value it can add, which will, in turn, help us make more informed decisions.
Cybercriminals are always evolving their efforts and coming up with more advanced ways to target their victims. And while there are many tools available to stop them, there is a lot of space for improvement. Especially if you take automation into account. Machine learning and artificial intelligence are playing a significant role in cybersecurity. Automation tools can prevent, detect, and deal with tons of cyber threats way more efficiently and faster than humans.
The relationship between Iran and America had deteriorated to such an extent that other countries are speculating a cyberwar to erupt at any moment. Technically speaking, cyberwar is a digital attack were computer viruses, DDoS campaigns and hacks are expected the digital infrastructure of enemy nations creating damage such as political instability, death of populace or more severe destruction. Therefore, we can come to the conclusion that the time has come where nations have put aside the usage of conventional weapons like guns and missiles and have started to take the help of cyber attacks to disrupt other nation's critical infrastructure. Factually speaking, in such war scenarios, it is not the computer systems that are being targeted on a final note. But it's the control systems that are being targeted because they are playing a bigger role in managing real-world infrastructures like airports and power grids.
Traditional cybersecurity tools such as mere anti-malware software or login audits aren't going to be sufficient in 2020--additional resources will be needed to protect organizations and their employees from cyberthreats. Artificial intelligence (AI) and machine learning (ML) are making productive inroads in the cybersecurity space. I spoke with Anish Joshi, vice president of technology at AI solutions provider Fusemachines, and Greg Martin, general manager of the Security Business Unit at Sumo Logic, a machine data analytics organization to get their input on the topic. The interviews have been lightly edited. Scott Matteson: What are the common pain points with cybersecurity?
A recent Computerworld poll about #technology trends for 2020 found 43.9% of people are most looking forward to #AI-enhanced #cybersecurity. It's no wonder, considering increases in the number of cybersecurity incidents. In 2019, at least 5.3 billion records, including credit card numbers, home addresses and phone numbers, were exposed through data breaches. Organizations need help identifying threats and preventing breaches, and given the shortage of cybersecurity professionals, AI can help them bridge that skills gap. "Look for AI and ML to be used to detect threats and other potentially malicious attacks and for AI to be used with multi-factor authentication (MFA) to provide access to users", Schott Schober, a cybersecurity and wireless expert.
Just about everyone agrees cybersecurity will be paramount in 2020, and governments and regulatory bodies are already taking action. While GDPR allows citizens in Europe to manage their digital footprint and data, the EU's Cybersecurity Act provides strong support for member nations to alert one another and act against bad actors. Still, cybersecurity is a difficult line of work. It's dynamic, and IT pros often feel harrowed by the amount of ground they're expected to cover. Instead of seeing what new cybersecurity trends will develop in 2020, we thought we'd ask the experts.
IT security teams today struggle to make sense of the enormous amounts of data modern IT infrastructures generate and consume, while simultaneously prioritizing and responding to alerts. This enormous responsibility is one of the reasons why detection and remediation times are so poor. In fact, a malicious attack has an average lifecycle of 314 days from breach to containment, according to the "2019 Cost of a Data Breach Report" by IBM. Manual and semiautomated checks and interventions cannot keep up with a constantly evolving threat landscape. And, with the average cost of a data breach estimated at $150 per record lost, according to the IBM study, a strong case can be made for automating many security tasks.
Artificial intelligence (AI) has become the foundation of everyday technologies -- including smartphones, cars, banking apps, home devices and more. In the cybersecurity world, AI is powering new technologies to enhance the detection of malicious behavior and sophisticated threats. Complex models can identify attack trends much faster than previous systems. But what if attackers could exploit the very power of AI to launch new attacks? Is it possible to subvert the AI we depend on, including cybersecurity products, to evade detection?