Arelion
Reports
All Statistics
64% of enterprise leaders in the UK view AI as posing little or no threat to networks.
70% of enterprise leaders use real-time alerts to secure data.
Confidence in data security falls to 40% when data passes through third-party provider networks.
Nearly a third of senior leaders admit "we know we should do more than we do" when it comes to critical data security.
32% of leaders do not know the locations of all of their data centers, rising to 49% when including third-party providers.
70% of senior leaders are losing sleep over the security of their critical data.
Data security is the single biggest network concern for enterprises, cited by 35% of leaders.
11% of leaders say they are aware of definite weak points when their data travels across third-party infrastructures.
56% of enterprise leaders classify AI-related risks to their critical data as moderate to extreme.
83% of enterprise leaders agree that reducing third-party network hops increases security.
68% of enterprise leaders use SIEM integration for visibility of backbone traffic.
77% of enterprise leaders say data sovereignty requirements heavily influence their choice of backbone provider.
48% of enterprise leaders are not fully confident they could demonstrate compliance with data protection regulations.
Only 52% of enterprise leaders feel very confident about the security of data travelling across their own networks.
Only 28% of leaders in France feel certain they meet regulatory requirements, compared to 60% in the UK.
Sweden experienced 2.5 times more DDoS attacks year-on-year.
Increase in Largest Volumetric Assault (2024 vs. 2023): 63%.
Average Volumetric Size of DDos Attacks (Overall): Nearly doubled to 23 Gb/s.
Largest Single-Target Campaign (Cloudflare 2024): 4.2 Tb/s.
DNS Amplification Dominance (2023): Accounted for 88% of amplified traffic
Largest Volumetric Assault on AS1299 (October 2024): 1.57 Tbps.
Average Volumetric DDoS Attack Size (2024): 23.0 Gb/s.
DNS Amplification Dominance (2024): Accounted for 55% of all amplified traffic.
France experienced 5 times more DDoS attacks year-on-year.
Increase in Average Volumetric DDoS Attack Size (2024 vs. 2023): 97%.
Germany experienced 3 times more DDoS attacks year-on-year.
Mean Packet Rate Climb (Year-on-Year): 24% to 6.2 Mpps.
Over 90% of manufacturing and automotive leaders display a chronic lack of faith in current AI-based cybersecurity.
90% of leaders in manufacturing and automotive believe that hackers are more likely to trick AI-based cybersecurity tools than those operated by humans.
33% of decision-makers in the automotive sector remain wary, saying that they may implement AI but are currently unsure if such technologies will achieve all the claimed benefits.
When asked where they felt AI will have the biggest impact, 32% of manufacturing leaders primarily say real-time detection and response.
Almost one in four (24 percent) of manufacturing and automotive decision-makers say that they are already facing DDoS attacks specifically engineered to circumvent AI-driven cybersecurity defenses.
Automotive leaders suggest that dynamic and adaptive defense mechanisms, and incident response and management, are the areas where AI will have a big impact, with 28% citing each.
Over half of respondents (57%) in manufacturing and automotive industries believe AI will reduce their network costs over the next three years.
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.
19% of manufacturing and automotive decision-makers think that AI has been overhyped in the short-term but foresee substantial mid- to long-term benefits.
69% of enterprise network decision-makers in the manufacturing and automotive sectors are comfortable with increased AI integration in their network operations.
Manufacturers (62%) are already deriving more benefits from AI than other sectors.
Over 50% of manufacturing and automotive decision-makers see cybersecurity as their top network challenge.
57% of senior network decision-makers in manufacturing and automotive industries do not believe that AI has been overhyped and state that they are already seeing real benefits across their businesses.
Across both sectors (manufacturing and automotive), 70% of respondents expect DDoS attack mitigation to be largely driven by AI (as opposed to humans) within four years.
A significant minority (37%) of manufacturing and automotive decision-makers foresee AI causing network costs to rise.