2021 is not yet over, yet it’s already a record-breaking year for the cybercrime industry. We discuss the top 5 cyberattacks of 2021 so far.
Cybercrime is expected to cost the world $6 trillion by the end of the year. Ransomware attacks are growing in frequency and severity, culminating in several headline-making attacks that have brought national attention to cybercrime.
Security managers and enterprise-level CISOs are desperately looking for new techniques and technologies for navigating this challenging landscape. Security leaders everywhere are paying close attention to the year’s record-breaking attacks and trying to predict the next one.
How to Prevent the Next Major Attack
Looking at the year’s attacks, one thing is abundantly clear. Today’s cybersecurity solutions are not sufficient to prevent disruptive ransomware attacks. Many of this year’s victims had endpoint security systems, gateway sandboxes, next-generation anti-virus solutions, and more – yet they still became victims nonetheless.
This underscores the fact that CISOs need to look beyond traditional best practices and start investing in a truly transformative approach to cybersecurity. Anti data exfiltration (ADX) is a new technology that can protect against the sophisticated ransomware attacks that define today’s threat landscape.
Data exfiltration protection is not a gateway solution. It operates inside the network, preventing the unauthorized removal of data to external destinations. This also prevents malware and ransomware applications from communicating with their command and control (C2) servers. Once inside, hackers are left effectively disarmed, unable to exfiltrate data or hide their tracks.
How Anti Data Exfiltration (ADX) could have stopped attacks
How ADX works
ADX works by investigating outgoing data on endpoint devices. This gives it a markedly smaller footprint than other solutions, such as firewalls or DLP, which examines incoming and outgoing traffic at the edge of the network. ADX solutions are lightweight enough to run on mobile devices and do not need to work on the corporate network.
Instead of comparing traffic to a dictionary of attack signatures, ADX solutions use behavioral analytics to identify unusual behaviors on a user-centric basis. ADX limits the ability for users – including privileged users and administrators – to send sensitive data outside the network.
For more information on how ADX can help your business please contact BlackFog or signup for a 7 day ransomware assessment on our web site.
Related Posts
Everything That You Need to Know About the Dark Web and Cybercrime
Learn about the dark web, including who uses it, how it operates, and what tools cybercriminals obtain on it. Find out how BlackFog monitors networks, forums, and ransomware leak sites in order to stay ahead of new threats.
BlackFog unveils AI based anti data exfiltration (ADX) platform for ransomware and data loss prevention
BlackFog unveils the latest version of its AI based anti data exfiltration (ADX) platform for even more powerful ransomware and data loss prevention. Version 5 introduces new features including air gap protection, real-time geofencing, and baseline activity monitoring to ensure the highest level of cybersecurity protection.
EDR Kill Shifter: Why a Layered Cybersecurity Approach is Required
Learn how ransomware-as-a-service is simplifying ransomware tool creation and increasing ransomware attack accessibility in cybercrime. Find out how modern ransomware syndications use RaaS.
The Rise of Ransomware-as-a-Service and Decline of Custom Tool Development
Learn how ransomware-as-a-service is simplifying ransomware tool creation and increasing ransomware attack accessibility in cybercrime. Find out how modern ransomware syndications use RaaS.
The State of Ransomware 2024
BlackFog's state of ransomware report measures publicly disclosed and non-disclosed attacks globally.
Data Exfiltration Detection: Best Practices and Tools
Data exfiltration, a tactic used in 93% of ransomware attacks, can lead to severe consequences including financial losses, reputational damage, and loss of customer trust. To mitigate these risks, organizations must implement effective detection strategies and technologies.