5. Do you keep up with new ransomware variants?
Ransomware evolves rapidly, with attackers introducing new encryption algorithms and changing the way they damage files. Signature scanning and other methods that rely on specific signs of compromise cannot keep up with these rapid changes.
An automated approach is needed that continuously tests the latest ransomware variants and ensures service level agreements (SLAs) are met, ensuring reliable and accurate detection of data corruption resulting from attacks.
Organizations need to require the implementation of AI-powered data integrity mechanisms that can accurately detect damage caused by cyberattacks, perform detailed forensics to minimize data loss, regularly validate data at rest to ensure reliability, and continually update to monitor evolving ransomware variants.
Traditional methods often fail to provid"Hackers aren't getting smarter, but they're still making life difficult for more and more organizations"
24.12.2024
Cyberattacks have become an entire industry of bahamas mobile database business, artificial intelligence is still on the side of hackers, and most organizations, although suffering from attacks by intruders, do not want to invest in cybersecurity. Probably, the situation can only improve through shocks: the more attacks are carried out, the more attention will be paid to cybersecurity in general. We talk about the paradoxical and not always obvious trajectories of information security development with Alexander Dmitriev , CEO of Neuroinform.
Alexander Dmitriev
Alexander Dmitriev
What current trends in the field of cyber risk analysis and assessment could you highlight? How has the situation in this area changed in 2024?
The spread of artificial intelligence and machine learning is probably the main trend of 2024. And for the attack protection industry, this is not a very good trend. AI, ML and related technologies are successfully used by cybercriminals. Hacker defenders have managed to implement AI in literally a few counteraction scenarios. So right now, “in the moment”, the main beneficiaries of AI/ML are cybercriminals. And this is a problem.
e effective cyber resilience. Move beyond “good enough” and implement an integrated data storage and protection solution you can trust.