To prevent a true calamity, we need to bolster our cyber resilience by evolving our approaches and responses to cyber threats, be they ransomware or state-sponsored attacks, by using extensive scenario planning and wargaming.
Employees are continuously deemed the “weak link” in any organizational cybersecurity simply because convenience is nearly always chosen over security. How can we shift this dynamic?
Ransomware has quickly grown from an annoyance to a life-threatening problem plaguing organizations in all industries. Organizations should address the two most common attack vectors, open RDP on the internet and the human factor.
Far from sensationalizing ransomware attacks, our response should be to return to the basics of cybersecurity. This requires a converged IT-OT security strategy to limit damage and protect valuable assets.
To stop a ransomware attack, you need the capability to detect threats and take action against them before they ever impact your business. Utilizing services such as extended detection and response (XDR) can provide round-the-clock monitoring from a team of cybersecurity experts.
If you are in the business of IoT, you must not take your users’ data security lightly. The risk is real every step of the way, with cyber hackers waiting to take advantage of an IoT network.
With the executive order signed, leading industry standards organizations should be heavily involved to help apply standards and regulations to make sure all connected devices have a proper level of security to create a secure ecosystem and prevent further critical infrastructure attacks.
Essentially working as a veil, VPNs tend to protect you from any harmful influx of internet traffic. Without going into...
Holding companies legally accountable, sharing information, and creating shared security standards won’t completely eradicate ransomware attacks. But they will make it considerably harder to carry out those attacks successfully.
Synthetic data generation (SDG) is rapidly emerging as a practical privacy enhancing technology (PET) for data sharing by generating non-identifiable datasets that can be used and disclosed without the legislative need for additional consent given that these datasets would not be considered personal information.
