The Biggest Endpoint Security and Deception Software Trends
Technological advances in interconnected devices are pushing companies to operate more efficiently and are making global cyber threats increasingly prevalent. As technology advances, companies should ensure they have a complete suite of cybersecurity products that includes proper honeypot security, endpoint security, malware prevention technology and more. Here are some cybersecurity trends that will help enterprises better protect their systems in the months and years to come.
On average, it takes over 250 days to identify and stop a network breach. The average cost of security breaches in the United States was $8.19 million in 2019 and this cost increases each year. In 2021, it’s estimated that cybercrime will globally cost enterprises at least $6 trillion in damages.
A major factor in the delayed response time and high cost of data breaches is vendor saturation. To get an endpoint security and deception solution that work well, enterprises often have to work with multiple cybersecurity firms, which creates unnecessary risk by exposing sensitive data to more people and potentially creating unknown gaps in security coverage. In addition to the added risk of working with multiple vendors, enterprises have expressed the need for vendor reduction to reduce the complexities of company security. In 2020, enterprises must have a complete suite of cybersecurity solutions that includes Endpoint Detection and Response (EDR), deception software, and other tools from one vendor.
Honeypot Security and Other Deception Technology
Today’s cyber attackers are more sophisticated and aggressive than ever. As the public continues to grow weary and frustrated with cyberattacks, in-network deception solutions, such as honeypot security, are becoming more desirable to businesses. Honeypot security is a deception solution that creates a false environment in the host’s network that is designed to attract attackers away from real assets. By accessing the honeypot, and not a real asset, the attacker can be tracked and blocked from lateral movement.
Honeypot security has experienced phenomenal advances from limited, static tactics to more advanced dynamic machine learning capabilities. It has also become more scalable and affordable. As honeypot security becomes more authentic and convincing, more and more companies will use it to trap hackers and use that information to protect themselves against future attacks.
Endpoint Detection and Response
EDR, a subset of endpoint security, is a cybersecurity technology that provides endpoint visibility to expose and respond to advanced threats on user endpoints in an enterprise system. Endpoint attacks can be caused by the mistake of one gullible user, external threats or even internal threats. EDR technology has boomed and become increasingly more advanced in recent years. As companies require more endpoint detection, EDR will continue to grow as a necessary part of a complete cybersecurity suite.
As 2020 continues to experience a growing attack vector, companies must remain vigilant and proactive when it comes to cybersecurity. In the past, deception software and malware prevention technologies were only used by the types of institutions that suffered frequent attacks. Now, with the help of a complete suite of the most advanced cyber-technologies, any business can be proactive with its cybersecurity solutions.
The healthcare environment has become a prime target for cybercrime over the past number of years. Attacks on healthcare grew with the Covid-19 pandemic as cybercriminals targeted hospitals, vaccine research companies, and other frontline healthcare provider organizations. With the treasure trove of highly valuable Personally Identifiable Information (PII) and more specific Protected Health Information (PHI) held by healthcare providers and facilities, these environments' targeting will likely continue to grow and become more sophisticated.
XDR is an alternative to the reactive endpoint solutions that provide only single-layered visibility over specific points. Though these layer-specific solutions are quite effective, they deliver a large volume of alerts that require a considerable amount of time in their investigation, response, and management.
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