Skip to main content
HomeTopicsR&D

R&D

Cybersecurity statistics about r&d

Showing 9061-9080 of 9942 results

Over 33% of IT decision-makers and influencers from Federal, State, Local, and Education sectors leverage AI to automate cybersecurity operations and enhance IT observability.

SolarWinds2/1/2025

On average, malware now executes 14 malicious actions.

Picus2/1/2025

25% of the malware examined showed behaviours related to T1555 (Credentials from Password Stores).

Picus2/1/2025

Process Injection (T1055) has a prevalence rate of 31%.

Picus2/1/2025

29% of respondents already started implementing zero trust.

Fortra2/1/2025

1 in 10 companies performs consistent checks throughout the supplier payment process.

Trustpair2/1/2025

74% of people worry about the societal impact of deepfakes.

iProov2/1/2025

29% of people take no action when encountering a suspected deepfake.

iProov2/1/2025

75% of organisations ranked Improving Security Awareness as a top initiative, an increase from 66% the previous year.

Fortra2/1/2025

39% of U.K. software buyers face product identification challenges when planning new technology investments.

Capterra2/1/2025

67% of detection engineers reported strong leadership buy-in.

Anvilogic2/1/2025

There has been a 3X increase in malware specifically targeting credential stores like password managers and browser-stored login data.

Picus2/1/2025

Ransomware activity surged at an increase of more than 87% over last year.

Dragos2/1/2025

44% said Scripting/programming languages is a skill that needs development for their detection engineering workforce.

Anvilogic2/1/2025

24% of school administrators express high confidence in their ability to protect student digital identities.

Clever2/1/2025

60% of school systems are moving to restrict student phones, which impacts authentication approaches.

Clever2/1/2025

Over 200 new hacktivist groups emerged, conducting more than 3,500 distributed denial-of-service (DDoS) attacks

KELA2/1/2025

93% of all malicious actions observed could be mapped to just 10 MITRE ATT&CK techniques.

Picus2/1/2025

3.9 billion credentials were shared in the form of credentials lists (ULP files).

KELA2/1/2025

Only 0.1% of participants could accurately distinguish real from fake content across all stimuli.

iProov2/1/2025