Vectra AI’s advice for identifying cyberattacks using NDR and Artificial Intelligence.
Today, many businesses and individuals are infected with ransomware. Here are Vectra AI’s tips to better protect you.
The first Trojan horse was sent on a floppy disk to research institutes around the world in 1989. Since then, software extortion attacks have (unfortunately) become the norm for many companies. Malware, often disguised as completely harmless programs, has caused billions of dollars in damage to private users, businesses and governments.
While Trojans, worms, etc. cause considerable damage to their victims, ransomware is even more insidious due to its effective concealment and extortionist nature. Anyone affected by a ransomware attack faces complete data loss. Software based on artificial intelligence could then be a solution. What escapes the human eye can be detected and countered by AI. But how do you protect against ransomware? And how can AI help quickly locate the digital intruder in real time to render them harmless?
Ransomware: a race against time
In essence, the ransomware infiltration process is similar to that already known for malware: attackers gain access to computers and servers by exploiting a network vulnerability. Once the attackers have set foot in the network, a race against time begins. Affected organizations must contain the damage as quickly as possible or risk losing access to their data and having to pay a ransom to recover it.
The biggest annoyance and problem for network administrators is the irreversible damage caused by ransomware. For this reason, a ransomware attack is often considered a digital catastrophe: in 2020 alone, data theft, espionage and sabotage caused more than 220 billion euros in damage. In 2021, the start-up Anozr Way (specializing in the fight against piracy and cyber analysis) estimates that the number of organizations targeted by ransomware will increase by 200% worldwide. Effective protection is essential for every business and is also a challenge for the IT Department of the European Commission. This is also true for every individual, as ransomware attacks increasingly target private systems.
Blaming users for opening an email and clicking on seemingly innocuous attachments is unhelpful, with attackers doubling down on efforts to arouse user suspicion and bypass protections workstations
Cybercriminals are getting very adept at their craft. In addition to fake emails, ransomware now has several ways to break into your network. At first glance, innovative technologies such as NFC seem like a big step forward, but they also represent another entry point for malware.
How should end users and administrators keep up to date? So far, the fight against corporate cybercrime has followed a fairly consistent pattern: attackers create new malware and distribute it. Security teams notice suspicious activity and isolate the files in question. Next, the cybersecurity division develops an effective antidote against the digital parasite. The result is usually a new rule or policy built into the firewall.
This game of cat and mouse has been going on for more than three decades. But what if artificial intelligence-assisted systems were able to detect these attacks in advance? What if automated anti-ransomware tools could unmask activity at an early stage and combat it effectively, even before it can cause damage?
NDR technology can unmask ransomware attacks
This is the approach taken by NDR technology. Network Detection and Response (NDR) solutions are highly effective cybersecurity solutions that automatically scan for advancing threats within the internal environment. To achieve this, NDR solutions observe activities, check whether they correspond to the usual behavior of machines and users, and use machine learning to alert on behaviors that are not only anomalous but also closely resemble the tactics of attackers.
The advantages for teams of security analysts are obvious, with a net saving of time for the active search for proven security events. This avoids being faced with the disastrous results of the ransomware, once the attacker has achieved their goal, with remediation work by the victim company that is not only complex, but also costly and stressful. AI-powered NDR software can support research and prioritization of threats in advance of the phase, thereby relieving IT security managers and administrators.
NDR solutions identify access that should not occur and that does not follow corporate security policies. To do this, they rely on the behavioral patterns of the database. As soon as potentially malicious behavior is detected, the software triggers an alarm and notifies the user or automatically isolates suspicious guests. With the right configuration, NDR technology can provide effective protection against ransomware.
Vectra offers innovative solutions that detect and combat digital threats at an early stage. Vectra’s solutions effectively protect organizations against advancing attacks (which may target data exfiltration and/or ransomware), and alert analysts to suspicious activity at the first sign.
For more information, visit the website www.vectra.ai
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