Artificial intelligence (AI) is now a major priority for government and defense worldwide — one that some countries, such as China and Russia, consider the new global arms race. AI has the potential to support a number of national and international security initiatives, from cybersecurity to logistics and counter-terrorism.
To better regulate the use of personal data and protect citizens, the European Union adopted the General Data Protection Regulation (GDPR), which came into force on 25 May 2018. In the UK, the GDPR is tailored by the Data Protection Act 2018. Non-EU businesses with offices in Europe, or who hold or process data coming from Europe, also need to be fully appraised of GDPR.
The digital revolution has made it easier for companies to collect insights on their markets to better understand their clientele's behavior. But it has also paved the way for potential abuses, creating a climate of suspicion. How can AI earn the public’s trust?
Threat Intelligence (TI) analysts are one of the key groups of experts in Security Operation Centers (SOCs) and play an important role in making sure IT systems are functioning properly. They are in charge of identifying attack vectors that most threaten the organization, define their company’s defensive strategy and help other team members make informed decisions about potential threats. However, handling such a vast amount of responsibilities, data and managing repetitive tasks is the exact type of work that makes TI employees prone to burnout.
Cloud communications and other advanced networking solutions have not only changed the way we connect with the world around us today, but they are also driving the change in future connectivity and are set to transform the way businesses create operating models, collaborate, and more. So, what does the future of connectivity look like in 2021? The near future consists of more robust security, more intuitive and streamlined connectivity, and increased mobility for a global workforce.
Banks, like other businesses, are taking precautions to make customers feel safe during the COVID-19 pandemic. Placing physical distancing markers on the floor, sanitizing ATMs, installing plexiglass partitions at teller booths and requiring scheduled appointments are just some of the ways financial institutions are mitigating risks for customers. Video surveillance can play a vitally important role right now, as banks look to ensure compliance with these new COVID-related safety measures. IP cameras with intelligent security analytics can help rapidly and accurately detect compliance issues, as well as other suspicious or atypical behavior. After all, banks must continue to monitor physical security even throughout the pandemic and today’s IP cameras with intelligent system-on-chip (SoC) technology can help lessen this burden with highly accurate notifications.
The U.S. Department of Energy (DOE) announced $37 million in funding for research and development in artificial intelligence and machine learning methods to handle data and operations at DOE scientific user facilities.
The First Five Consortium, named for the critical first five minutes in responding to a disaster, will apply artificial intelligence and deep learning methodologies to address emergency preparedness and disaster response.
To address this current losing war with cyberattackers, the future of cybersecurity requires augmenting the current focus of “indicators of compromise” with “indicators of exposure & warning” in real-time. Where the measure would be to gauge the shift of incident management that would tilt on managing more incidents at warning stages than on compromise stages. It is imperative to build an AI engine to perform this very task as that would be the only way to perform in real-time, scale with the growing nature of cloud as well as to cover the evolving nature to attack scenarios.
The results of a global study examining the financial impact of data breaches reveals that the incidents cost companies $3.86 million per breach on average, and that compromised employee accounts were the most expensive root cause.
Deloitte’s third edition of the “State of AI in the Enterprise” survey finds businesses are entering a new chapter in AI implementation where early adopters may have to work harder to preserve an edge over their industry peers.
