Governments and regulators are establishing new cyber resilience regulations to ensure that enterprises and their leaders are held accountable. Consequently, organizations are implementing strategies to recover from disruptions and maintain compliance across their operations.
Daten’s robust and automated resilience framework combined with cybersecurity governance, empowers businesses to be secure, resilient, and prepared for regulatory demands.
Advanced software offering seamless connectivity and features like engine timing, driver assistance, and cruise control, automobiles are therefore exposed to cyberattacks. Utilizing communication technologies like Wi-Fi and Bluetooth, hackers exploit vulnerabilities to gain vehicle control or eavesdrop on conversations. Thus, the automotive industry is significantly investing in developing technology solutions to counteract cyber threats.
By utilizing machine learning algorithms, AI has facilitated automated security systems development that perform tasks such as facial recognition and threat detection. However, hackers exploit this technology to bypass security protocols. Nonetheless, AI-enabled threat detection systems allow prompt responses to emerging threats, offering support to cybersecurity professionals.
The widespread adoption of 5G networks marks the beginning of a new era of interconnectedness, especially with the Internet of Things (IoT). While this technology provides unparalleled connectivity, it exposes IoT devices to software vulnerabilities and external threats. The emerging nature of 5G architecture requires deep research to identify and mitigate potential security gaps. Manufacturers must prioritize developing robust software and hardware solutions to reduce the risk of network attacks and data breaches.
Unlike typical man-in-the-middle attacks (MITM), where hackers intercept data before users are aware, MITC attacks exploit common file synchronization services by leveraging the OAuth token system utilized by enterprises for cloud services like OneDrive and Dropbox. The ease of remote logins creates vulnerabilities that cybercriminals can exploit.
Daten’s cybersecurity solutions for the Cloud enable IT teams to monitor the cloud instances and implement operational alerts in real time, thus enhancing security posture.
Not all threats originate externally; an insider, such as an IT team member or subcontractor with access, can cause significant damage. Proactively addressing these threats involves identifying unusual patterns like multiple logins during non-peak hours at a faster rate.
Daten’s Security Information and Event Management (SIEM) system performs data exfiltration analysis to offer insights into events, including seemingly innocuous activities such as using a thumb drive or transferring files to personal cloud storage, enabling organizations to maintain constant protection.
Generative AI models can identify normal behavior patterns within an Identity and Access Management (IAM) system, including user access patterns, resource usage, and login times. By establishing a “normal” behavior model, this technology can detect and flag anomalies.
Daten’s Gen AI-powered cybersecurity solutions enable IT teams to identify unusual user behavior and unauthorized access attempts to proactively address insider attacks or security threats.
Request a Free Cybersecurity Assessment Anytime!
