Dell CyberSense as a Cyber Resilience Benchmark
Cybersense compatibility
A smart approach to cyber resilience is represented by Dell CyberSense, which is integrated with the Dell PowerProtect Cyber Recovery platform. In order to continuously verify data integrity and offer thorough insights across the threat lifecycle, it leverages cutting-edge machine learning and AI-powered analysis, drawing on decades of software development experience. This significantly lessens the impact of an attack minimizing data loss, expensive downtime, and lost productivity and enables organisations to quickly recover from serious cyberthreats, like ransomware.
Over 7,000 complex ransomware variations have been used to thoroughly train CyberSense’s AI engine, guaranteeing accuracy over time. Up to 99.99% accuracy in corruption detection is achieved by combining more than 200 full-content-based analytics and machine learning algorithms. A sophisticated and reliable solution for contemporary cyber resilience requirements, Dell CyberSense boasts more than 1,400 commercial deployments and benefits its customers from the combined knowledge and experience acquired from real-world experiences with malware.
By keeping its defence mechanisms current and efficient, this continual learning process improves its capacity to identify and address new threats. In order for you to recover from a cyberattack as soon as possible, Dell CyberSense also uses data forensics to assist you in finding a clean backup copy to restore from.
Dell PowerProtect Cyber Recovery
The financial effects of Dell PowerProtect Cyber Recovery and Dell CyberSense for enterprises were investigated in a Forrester TEI study that Dell commissioned. According to research by Forrester, companies using Dell CyberSense and PowerProtect Cyber Recovery can restore and bring back data into production 75% faster and with 80% less time spent searching for the data.
When it comes to cybersecurity, Dell CyberSense stands out due to its extensive experience and track record, unlike the overhyped claims made by storage vendors and backup firms who have hurriedly rebranded themselves as an all-in-one solution with AI-powered cyber detection and response capabilities. The ability of more recent market entrants, which are frequently speculative and shallow, is in sharp contrast to CyberSense’s maturity and expertise.
Businesses may be sure they are selecting a solution based on decades of rigorous development and practical implementation when they invest in PowerProtect Cyber Recovery with Dell CyberSense, as opposed to marketing gimmicks.
Before Selecting AI Cyber Protection, Consider These Three Questions
Similar to the spike in vendors promoting themselves as Zero Trust firms that Dell saw a year ago, the IT industry has seen a surge in vendors positioning themselves as AI-driven powerhouses in the last twelve months. These vendors appear to market above their capabilities, even though it’s not like they lack AI or Zero Trust capabilities. The implication of these marketing methods is that these solutions come with sophisticated AI-based threat detection and response capabilities that greatly reduce the likelihood of cyberattacks.
But these marketing claims are frequently not supported by the facts. As it stands, the efficacy of artificial intelligence (AI) and generative artificial intelligence (GenAI) malware solutions depends on the quality of the data used for training, the precision with which threats are identified, and the speed with which cyberattacks may be recovered from.
IT decision-makers have to assess closely how providers of storage and data protection have created the intelligence underlying their GenAI inference models and AI analytics solutions. It is imperative to comprehend the training process of these tools and the data sources that have shaped their algorithms. If the wrong training data is used, you might be purchasing a solution that falls short of offering you the complete defence against every kind of cyberthreat that could be present in your surroundings.
Dell covered the three most important inquiries to put to your providers on their AI and GenAI tools in a recent Power Protect podcast episode:
Which methods were used to train your AI tools?
Extensive effort, experience, and fieldwork are needed to develop an AI engine that can detect cyber risks with high accuracy. In order to create reliable models that can recognise all kinds of threats, this procedure takes years to gather, process, and analyse enormous volumes of data. Cybercriminals that employ encryption algorithms that do not modify compression rates, such as the variation of the ransomware known as “XORIST,” these sophisticated threats may have behavioural patterns that are difficult for traditional cyber threat detection systems to detect since they rely on signs like changes in metadata and compression rates. Machine learning systems must therefore be trained to identify complex risks.
Your algorithms are based on which data sources?
Knowing the training process of these tools and the data sources that have influenced their algorithms is essential. AI-powered systems cannot generate the intelligence required for efficient threat identification in the absence of a broad and varied dataset. To stay up with the ever-changing strategies used by highly skilled adversaries, these solutions also need to be updated and modified on a regular basis.
How can a threat be accurately identified and a quick recovery be guaranteed?
Accurate and secure recovery depends on having forensic-level knowledge about the impacted systems. Companies run the danger of reinstalling malware during the recovery process if this level of information is lacking. For instance, two weeks after CDK Global’s customers were rendered unable to access their auto dealership due to a devastating ransomware assault, the company received media attention. They suffered another ransomware attack while they were trying to recover. Unconfirmed, but plausible, is the theory that the ransomware was reintroduced from backup copies because their backup data lacked forensic inspection tools.
