The Data Blog
For Black Friday and Cyber Monday, naturally many people will be browsing online and shopping around for the best deals they can find. However, whenever there is a sale to be made or a product to sell, hackers and cyberterrorists may be lurking nearby. Moreover, with the continued restrictions and negative attitudes about in-person shopping due to COVID and the sheer amount of people who go in person to different stores, online traffic and sales are bound to be higher than usual. Thus, companies must be prepared for a substantial amount of incoming traffic and the incoming cyber threats that may perpetuate because of them.
For companies partaking in retail online, advanced firewalls, cloud based payment processing services, multi-authentication, and advanced employee IT trainings are crucial steps for to take to ensure the best possible customer service for any potential customers. Not only will these precautions increase the safety of users hoping to purchase something from an online website, but they are put in place to help company data from being stolen as well. Without proper cybersecurity measures, both consumer data and company data are at risk of being stolen, and the slightest amount of data in the wrong hands can lead to both stolen identities and fraudulent purchases using consumer data, or malware and ransomware attacks against a company, its retail website, or any of its subsidiaries.
Taking anti-cyberattack measures can lead to a better user experience on a website, improved website performance, and more satisfied customers when they know their financial and purchasing data are safe from any potential cyber criminals or hackers looking to make a quick steal.
Leanr more at www.ExactData.net
Cybersecurity may not be the first thing on everyone's mind during the year 2020, but it definitely shouldn't be the last. CrowdStrike reports that approximately 56% of all surveyed organizations have faced at least one ransomware attack within the 2020 year, with approximately 27% of these organizations paying the hackers to end it. Due to the pandemic we find ourselves in, cybersecurity experts predict an increased amount of ransomware attacks across the world, and many even believe that eCrime and cyberattacks can pose one of the biggest threats to businesses in 2021 and in years to come if not properly dealt with.
Additionally, by companies allowing most employees to work remotely from home, cyberattacks are even more likely to occur; without a VPN, antivirus program, or proper security measures, both personal and professional data are at more risk than ever before, something hackers are continuing to take notice of. As such, the fear for increased cyberthreats is justified and until employees return to a secure and safe network, their data will continue to be at risk.
To minimize risk, one should certainly follow proper cybersecurity guidelines such as not opening emails from unknown sources or downloading anything that seems suspicious. Moreover, using a VPN, secure wireless connections, or uploading work to different clouds to separate personal and professional data can help stop hackers in their trace, and help ensure they aren't rewarded for their efforts.
While the year 2020 may almost be over, the long lasting impact of COVID-19 and its effect on both the real and digital world are far from disappearing.
AI is being weaponized by cybercriminals to develop increasingly sophisticated malware and attack methods, requiring organizations to deploy advanced heuristic solutions rather than relying on known vulnerability and attack signatures.
Synthetic data technologies can play an important role in training the AI to detect advanced heuristic solutions. As a sophisticated rules-based engine, the data models can be configurable to generate true and false positives and negatives of every conceivable variation of a heuristic threat. The data models can also be configured to output the expected AI system response file. This combination creates the necessary massive amounts of tagged data to develop and deploy an AI solution for detecting and preventing advanced heuristic threats efficiently and effectively.
Learn more at www.exactdata.net
Advanced persistent threats backed by nation-state actors are now a major part of the global security landscape. Cybercriminals unofficially supported by the state can execute DDoS attacks, cause high-profile data breaches, steal political and industrial secrets, spread misinformation, influence global opinion and events, and silence unfavorable voices. As political tensions grow, we can expect these activities to escalate – and maintaining security in the face of advanced, globally distributed attackers with access to zero-day exploits will require big business and government organizations to deploy equally advanced solutions to detect and eliminate known and emerging vulnerabilities.
Synthetic data technologies can offer a significant advantage developing and deploying solutions to guard against advance persistent threats by leveraging the synthetic data to emulate the most realistic conditions in a target network. Network normal traffic is real traffic with complex base rate content that is all plausible and can mirror the content, IP address structure, reporting hierarchy, document types, and subject matter-specific content and emails for any industry or client. This provides behavior-based control of the data domain mix in addition to the traffic mix that has become the foundation of cyber testing techniques. Every event is linked/consistent with every other event, except where (by design) it is not linked. Simple and varying degrees of anomalies can be introduced to provide detailed system scoring and support performance tuning.
Learn more at www.exactdata.net