NGAV provides stronger and more comprehensive protection than traditional antivirus because its advanced prevention methods go beyond signature detection alone.
NGAV uses cutting-edge techniques like artificial intelligence, behavioral detection, and machine learning algorithms to predict attacks and stop them before they compromise endpoints. Furthermore, its cloud architecture speeds up implementation while eliminating updates.
Detects Zero-Day Threats
Zero-day vulnerabilities are unknown to security researchers, exploited by threat actors to launch malware or network attacks that take advantage of being anonymous and unprepared. A Ponemon survey discovered that zero-day attacks accounted for 80 percent of breaches. Legacy antivirus solutions struggle to detect unknown threats; their signature-based detection relies on searching specific characteristics to detect malware.
Modern malware is constantly adapting and developing new strains that evade traditional security solutions, so organizations must adopt an antimalware approach instead of relying on conventional antivirus software; the answer lies with next-generation antivirus (NGAV).
NGAV differs from legacy antivirus solutions by employing artificial intelligence and machine learning to detect potential threats through behavioral analysis, accurately detecting malware and other types of threats missed by traditional signature-based solutions. Furthermore, its cloud deployment can be set up in seconds without reboot or signature updates, providing immediate protection without impacting endpoint performance.
To prevent malware and other threats from getting past a firewall, NGAV employs artificial intelligence, behavior-based detection algorithms, machine learning algorithms, exploit mitigation, heuristic analysis, and file inspection to protect an array of threats. In particular, the heuristic research looks for anomalies in program behavior while file inspection examines structure attributes; furthermore, NGAV scans files and boot records network ports to search out any hidden malicious or suspicious elements which would otherwise remain invisible through signature-based methods of detection.
NGAV's ability to analyze file behavior also assists it in protecting against fileless threats that bypass traditional security measures and can bypass traditional antivirus solutions. Furthermore, its heuristic detection feature helps block unauthorized actions by recognizing and analyzing malware behaviors before and during execution.
Other protections NGAV include antimalware, web protection, and exploit mitigation; additionally, heuristics can block access to bad neighborhoods like ad networks and scammer pits; finally, use mitigation can prevent malware from exploiting known vulnerabilities to attack endpoints.
NGAV solutions can seamlessly integrate with other cybersecurity tools, including DLP, EDR, and WAFs, to provide comprehensive endpoint protection. Heuristics and other behavioral techniques combined with machine learning can identify new malware or anomalous behaviors - particularly useful when detecting zero-day attacks, which are more complex than ever to spot through traditional signature-based methods. Heuristics help reduce false positives - legitimate programs mistakenly flagged as threats - saving time and effort responding to them, improving employee productivity while increasing security effectiveness simultaneously.
Detects Malware
Malware, or malicious software, is designed to infiltrate or damage a computer system without permission and cause problems ranging from data corruption and theft of valuable information to completely taking over the operations of machines. A modern cybersecurity solution must detect and stop malware attacks before further attacks occur. It also protects against future attacks by eliminating any mechanisms malware uses to gain and gain entry again.
Traditional antivirus software generally relies on signature-based detection to identify malware. This technique compares files against a database of hash values to detect suspicious files and alert users if something seems out of place. Security companies regularly add new files to this database so traditional antivirus can stay updated with emerging threats.
However, this approach has its drawbacks. Signature-based detection may miss malware attacks that don't match any known signatures - often the most dangerous attacks - while also becoming confused by false positives - files that appear benign but might contain malware, such as legitimate system files or documents that appear benign but may contain harmful files.
Next-gen antivirus (NGAV) takes an alternative approach. NGAV utilizes machine learning and AI techniques to monitor suspicious actions on devices that don't align with normal operating behavior - providing more effective detection than simply cross-referencing files against databases. Furthermore, its predictive analytics enable it to spot suspicious activity faster than traditional antivirus solutions.
Additionally, it prevents attackers from bypassing traditional security tools with techniques like file-less malware and PowerShell exploits. Furthermore, it provides more comprehensive endpoint protection and detects additional attack vectors than legacy antivirus solutions could.
NGAV's cloud nature makes deployment fast and management easy for teams across an organization, enabling security teams to respond quickly to cyber-attacks or hardware or software failure, protecting all systems regardless of any disruptions to one or more plus, its scalability means businesses can add licenses without installing agents, resulting in reduced costs, fewer IT resources required, and an overall more effective and efficient cybersecurity strategy.
Detects Zero-Day Attacks
Zero-day attacks - malware that is not widely known or previously seen - are more frequent than ever, with devastating results when successful. According to WatchGuard's research, two-thirds of cyber-attacks involve some zero-day exploit or ransomware attack. For this reason, organizations must employ next-generation antivirus products which can detect these threats and their vulnerabilities as soon as they emerge.
Traditional antivirus solutions use signature files and hash to detect malware, but modern threats no longer rely on this approach; instead, they exploit vulnerabilities in programs, data, and other parts of your endpoints--often using fileless techniques like in-memory attacks--to gain entry.Next-generation antivirus offers an innovative and more proactive defense solution against this attack by using behavioral detection, machine learning, and cloud architecture to provide comprehensive protection from malware and zero-day attacks.
The most effective NGAV solutions are designed to integrate seamlessly with other security tools, including web application firewalls (WAF), antimalware software, and endpoint detection and response (EDR). When combined, these security tools create an automated, intelligent process that quickly recognizes and responds to attacks as they arise - this guarantees that any attack is stopped before it causes real damage.
Next-generation antivirus is designed for speed and agility, unlike legacy solutions such as antivirus. Deployed quickly via cloud technology, next-gen antivirus deploys in seconds without reboots, configuration, or signature updates to operate smoothly. It can analyze suspicious files or behaviors near-real time with minimal impact on endpoint performance. Furthermore, they use artificial intelligence, behavior analysis, machine learning, anomaly detection, exploit mitigation, and other advanced technologies to provide multilayered cybersecurity protection.
NGAV's combination of technologies enables it to quickly identify and stop known and new threats before they cause harm. By protecting the entirety of your data ecosystem rather than individual files and processes on each endpoint, NGAV focuses on stopping attackers from spreading malicious programs laterally across an organization by restricting their access to critical systems or data.
NGAV solutions should use minimal privileges, restricting attackers' ability to extend their malicious activity beyond its initial point of entry and bypass legacy antivirus detection systems. This is crucial because some zero-day malware may use root or administrative privileges to hide from detection and cause havoc throughout a network.
FAQ section
A: NGAV is an advanced security solution that offers superior protection against evolving cyber threats beyond traditional antivirus software.
A: NGAV provides real-time threat intelligence, behavior-based detection, and machine learning algorithms to combat sophisticated malware and zero-day attacks.
A: Yes, NGAV employs proactive techniques to detect and block ransomware, safeguarding your data from encryption and extortion attempts.
A: Absolutely, NGAV is designed to detect and mitigate fileless malware that resides in memory, preventing malicious activities without relying on file scanning alone.
