EfficientIP, specialists in Domain Name System (DNS) security for service continuity, user protection and data confidentiality, reveals government organisations were hit by the highest number of DNS attacks per year in this IDC Infobrief, sponsored by EfficientIP, 2019 Global DNS Threat Report. The government suffers an average of 12 DNS attacks per year, with each attack costing an average of $558,000, amounting to $6.7m annually.
Over half (51%) of government organisations suffered in-house application downtime as a result of DNS attacks in the last 12 months, rendering potentially vital services inaccessible, while 43% faced cloud service downtime. 41% of organisations were impacted by compromised websites, putting data at risk. Almost one in five (19%) government respondents also reported sensitive information or intellectual property being stolen via DNS, by far the highest among all industries.
The typical DNS attack takes over seven hours for government organisations to mitigate, leaving the door wide open to a huge potential loss of sensitive personal and financial data. 51% of government respondents admitted to shutting down a server to stop an attack once underway, indicating that the countermeasures in place are not adapted to ensure service continuity.
Despite the risk, one-third (32%) of government respondents don’t recognise the critical nature of DNS to operations, stating DNS security is only low or moderately important. Furthermore, one third (32%) of government sector respondents don’t perform analytics on DNS traffic, suggesting respondents are potentially unaware of how DNS downtime deprives users access to essential applications or government services.
David Williamson, CEO of EfficientIP said, “With an increasing number of government services moving online, hackers have more points of attack to exploit than ever before. When 91% of malware uses DNS, analysis of DNS transactions is vital for uncovering these dangerous threats hidden in network traffic. In particular, the detection of data exfiltration via DNS requires visibility and analytics on transactions from the client to the destination domain.
“Despite this, our latest research shows governments are significantly more exposed than other sectors to DNS attacks. This is unacceptable when governments are trusted with sensitive information by their citizens, so they need to understand the potential risks to protect both themselves and the public.”
The Government was tied with healthcare as the sectors putting the least importance on Machine Learning (ML) for detecting unknown malicious domains or Domain Generation Algorithms (DGAs). Government also has the lowest rate of adoption for the Zero Trust cybersecurity approach of any sector surveyed.
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