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?
Americans should be on heightened alert for cyberattacks after Iran fired more than a dozen missiles at two military bases in Iraq where U.S. troops are stationed late Tuesday, security researchers say. Iran could target private businesses and government infrastructure to avenge last week's killing of its top military commander as tensions between Tehran and Washington reach one of their highest points since the 1979 Iranian revolution. "I am not predicting it will happen, but if it happens, I won't be surprised," said Steven Bellovin, a computer science professor at Columbia University School of Engineering. A cyber conflict has been silently raging for years. In retaliation for the U.S. drone strike that killed Iranian commander Qasem Soleimani in Baghdad last week, Iran could target the power and electricity you use, the smart devices you carry or your bank account, security experts say.
BlackBerry Limited has unveiled a customisable concept solution that OEMs and fleet managers can use for vehicle health and security use cases to'future-proof' their vehicles, accelerating development timelines and reducing the cost of moving projects from research to production and onto roads. Working with BlackBerry's cybersecurity and automotive embedded systems teams, companies across the transportation industry will be able to leverage the solution to build powerful AI and ML software-driven use cases with a view to enhancing the overall safety and security of their vehicles. The new offering marks the first time BlackBerry Cylance's AI and ML technologies have been integrated with BlackBerry QNX solutions, which currently are embedded in more than 150 million cars on the road today. The modular and flexible system will allow automakers and fleet managers to activate just the features they need or use their own data or pre-built AI/ML models to create an aggregate view of the health of their vehicles from a single console or'Vehicle Operations Centre', while also being able to automate software patches, continuously authenticate drivers and proactively address cybersecurity threats using both Endpoint Protection and Endpoint Detection and Response (EDR) technology. "This solution represents a major milestone in the company's continued efforts to integrate BlackBerry Cylance's innovative prevention-first, predictive security products with our vast range of industry-leading technologies," said Charles Eagan, Chief Technology Officer, BlackBerry.