The Cybersecurity Research Digest cuts through the marketing fluff and bias to bring you relevant and objective insights on cybersecurity stats and trends, all backed by empirical data. With the holiday season and early weeks of the year being relatively quiet for new research, this post highlights key findings from
On human risk stats, artifacts vs LOLbins, security-specific GenAI & more.
On raising incident severities, budgets, perceptions on GenAI, factors influencing job satisfaction, and productivity vs security.
On AI-generated code, tool overload, security vs development, managed services uptake, incident costs, initial access methods & more,
On managing outages, framing GenAI risks, zero-day use, security tooling, and SaaS and API observabilty.
On ransomware and workforce trends, passkey adoption and effects of API sprawl.
On DDoS trends, SMB issues, SaaS risks, training programs & more.
On encryption levels, exploitation times, cloud attacks, AI usage policies & more.
Introducing the rationale behind the CRD and outlining the approach taken to address the challenges faced by cybersecurity leaders.
On GenAI's security and impact, ransomware stats, attack frequencies, cloud vulns, healthcare impacts & more.
On supply chain vulns, cloud compromises, security UX, women in security, NIS2 & workforce stress.
On targeted industries, email security, 3rd party risk, DDoS & APIs.