OPSWAT State of File Security Report 2025

Keypoints

• Typical report structure: Title and sponsorship; executive summary/introduction; key findings organized by topic (threats, management practices, AI strategy); detailed methodology and sampling; caveats/limitations; and an appendix with full survey tables and frequency data.
• Introduction content: Defines file security, scope and objectives, survey population (612 U.S. IT/security practitioners), and the research goal of understanding organizational file-security programs and practices.
• Methodology and sample: Sampling frame of 18,602 contacts, 688 returns with 76 removed for screening, final sample of 612 surveys, reported overall response rate ~3.3% (table data in source contains inconsistencies and should be interpreted cautiously).
• Incidence and cost statistics: 61% of respondents report an average of eight data breaches or incidents due to unauthorized file access in the past two years; 54% say those incidents had financial consequences; average reported cost per organization over two years is $2.7 million; 66% estimate average incident costs fall between $500,000 and more than $10,000,000.
• Primary consequences: Most common impacts are loss of customer data and decreased employee/workplace productivity, emphasizing both reputational and operational damage from file incidents.
• Leading threats and risks: Top three risks identified are data leakage from negligent or malicious insiders (45%), lack of file access visibility/control (39%), and malicious files/applications from vendors/software supply chain (33%).
• Detection and response capability: Only 40% of organizations can detect and respond to file-based threats quickly (25% within a day, 15% within a week), indicating lagging incident response for many firms.
• Vulnerable channels and environments: File storage (on-premises, NAS, SharePoint) is viewed as the most vulnerable (42%), with web file uploads (40%) and web file downloads (39%) also flagged as high-risk channels; confidence in secure third-party file transfers is low (39% high confidence).
• Malicious content of greatest concern: Macro-based malware (44%) and zero‑day/unknown malware (43%) are the top worries; ransomware is also noted (39%) but general ransomware tagging is discouraged in the hashtag guidance.
• Metrics organizations track: Common measurements include increased productivity of IT security staff (52%), security assessment of sensitive files (49%), increased employee productivity (43%), fines for compliance failures (46%), and user access convenience (45%), showing a blend of security, productivity, and compliance KPIs.
• Compliance pressures: Major regulatory frameworks affecting respondents include Sarbanes–Oxley (SOX) (27%), PCI-DSS (25%), and HIPAA (23%), highlighting industry-specific controls and audit drivers for file security.
• Technologies in use or planned: Frequently used or planned solutions include country-of-origin controls, Data Loss Prevention (DLP), multiscanning, Content Disarm & Reconstruction (CDR), sandboxing, threat intelligence, Software Bill of Materials (SBOM), and file vulnerability assessments—pointing to layered defenses combining detection, prevention, and provenance controls.
• Rationale for advanced controls: Multiscanning is valued for higher detection rates and resiliency; CDR is emphasized for its safe-file reconstruction approach that doesn’t rely on signatures; sandboxing and threat intelligence support investigation and contextual response.
• AI adoption and strategy: 33% have integrated AI into file-security strategy, and 29% plan to do so in 2026; use cases include automating detection/analysis, unlocking files for inspection, and securing AI workloads with prompt-security tools—GenAI adoption and securing AI pipelines are emerging priorities.
• Recurring themes and trends: Persistent insider risk and lack of file visibility; third-party and transfer-related vulnerabilities; shift toward proactive, multilayered defenses (CDR, multiscanning, SBOMs); and accelerating interest in AI/GenAI both as a defensive tool and a new attack/abuse surface requiring controls.
• Impactful takeaways for practitioners: Prioritize visibility and access control for files, harden file transfer pathways and third-party interactions, accelerate detection/response capabilities to reduce dwell time and costs, adopt file-centric defenses (CDR, multiscanning, DLP), and incorporate AI governance and prompt-security measures when deploying GenAI or AI-assisted file workflows.
• Caveats and data limitations: Survey-based, self-reported results with potential non-response and sampling-frame biases; some internal inconsistencies in tabular counts suggest careful interpretation and the need to corroborate findings with operational telemetry where possible.