Bb5a31f81ClaimCloudflare detected thousands of exploitation attempts for php2shell across its network in the 10 hours prior to public disclosure, escalating to hundreds of thousands within two hours post-disclosureAgreeDisagree
Bb5a31f81ClaimAutonomous artificial intelligence agents flatten the cybersecurity adversary pyramid by providing low-sophistication hacktivists with capabilities previously restricted to nation-statesAgreeDisagree
Bb5a31f81ClaimOpen-weight artificial intelligence models such as GLM and Qwen can be deployed locally to develop ransomware without safety refusalsAgreeDisagree
Bb5a31f81ClaimAdversaries increasingly use engineered prompts rather than traditional compiled malware to direct attack paths and pivot across compromised networksAgreeDisagree
Bb5a31f81ClaimAnthropic reported that the open-weight GLM-5.3 model achieved approximately 90 percent of the performance of proprietary frontier modelsAgreeDisagree
Bb5a31f81ClaimCompromised legitimate credentials allow adversaries to log into target systems without exploiting technical software vulnerabilitiesAgreeDisagree
Bb5a31f81ClaimAcross cyberattacks tracked by CrowdStrike, the average adversary breakout time from initial system access to lateral movement is 29 minutesAgreeDisagree
Bb5a31f81ClaimVulnCheck provides an Initial Access intelligence feed covering software vulnerabilities, exploits, and detectionsAgreeDisagree
Bb5a31f81ClaimThe traditional cybersecurity adversary pyramid ranks hacktivists at the base, e-crime organizations in the middle, and nation-state actors at the apexAgreeDisagree
Bb5a31f81ClaimCrowdStrike has recorded adversary breakout times from initial access to lateral movement occurring within 27 secondsAgreeDisagree
Bb5a31f81ClaimMeta's Muse Spark Open model allows developers and researchers to download core model components directlyAgreeDisagree
Bb5a31f81ClaimMeta released an open-weight artificial intelligence model named Muse Spark OpenAgreeDisagree
Bb5a31f81ClaimMeta partnered with Apple to run Meta's open-weight artificial intelligence models locally on Mac computersAgreeDisagree
Bb5a31f81ClaimOpen-weight AI models aim to fill a market void for less profitable or private enterprise use cases not served by top closed modelsAgreeDisagree
Bb5a31f81ClaimOpen-weight models offer businesses potential cost reduction and greater data sovereigntyAgreeDisagree
Bb5a31f81ClaimChinese models like Deepseek V41 and Kimik3 prompted businesses to experiment with open-weight models for cost efficiencyAgreeDisagree
Bb5a31f81ClaimIn a survey by The Information, 72% of respondents reported using open-weight AI models with some regularityAgreeDisagree
Bb5a31f81Claim20% of respondents to a survey by The Information stated that open-weight models drive the majority of their organization's workloadAgreeDisagree
Bb5a31f81ClaimOnly 21% of respondents to a survey by The Information reported using Chinese open-weight modelsAgreeDisagree
Bb5a31f81ClaimThe existence of a competitive open model ecosystem provides leverage for companies negotiating with closed model providersAgreeDisagree