Risks in AI-driven file security: Internal threats, outdated safeguards, and the intricacy of artificial intelligence
In the ever-evolving landscape of cybersecurity, a significant trend is emerging: the adoption of unified, multi-layered platforms for AI-based file security. These platforms, which enable flexible adaptation of file security architectures to new threats, are gaining traction among companies as they grapple with various security challenges.
According to recent surveys, macro-based malware is identified as the greatest threat, with 44% of respondents voicing their concerns. Zero-Day malware is also a major concern, named by 43% of respondents. Provided malicious files pose a risk to 33% of companies, underscoring the urgency for robust file security solutions.
The importance of these platforms is further highlighted by the fact that only 40% of companies can detect file-based threats within a week, and only 39% are confident that file transfers to third parties are reliably protected. Negligent or malicious insiders pose the most severe risk, followed by poor transparency/control.
Trust in different file environments varies greatly, with only 42% of respondents trusting the security of their data when uploading files or sharing via email or link. This lack of trust has led companies to seek more secure solutions.
Unified multi-layered platforms provide effective protection against evasive and file-based threats. Technologies like multiscanning, Content Disarm and Reconstruction (CDR), and sandboxing are gaining importance but are far from ubiquitous. Companies using multilayered technologies report better detection, higher productivity, and lower costs.
By 2026, 73% of companies plan to adopt unified, multi-layered platforms for AI-based file security. Notable cybersecurity companies like Palo Alto Networks, Symantec (Broadcom), and McAfee are planning to introduce such platforms, integrating technologies like Multiscan, CDR, and adaptive Sandboxing.
Zero-trust file handling is a key component of the multi-layered defense for AI-based file security. A multi-layered defense, including zero-trust file handling and prevention tools, is considered an essential standard for companies.
George Prichici, Vice President of Products at Opswat, emphasizes the importance of a multi-layered defense for robust and scalable security in the AI era. Opswat, a company that emphasizes the importance of unified multi-layered platforms for robust and scalable AI-based file security, is at the forefront of this shift.
Interestingly, only 25% of companies have a GenAI policy, and 29% fully ban GenAI. This suggests that while companies are aware of the need for robust file security, they may not yet fully comprehend the implications of AI in this context.
The cost of file security incidents is significant, with an average of 2.7 million USD per occurrence over a two-year period. As companies increasingly rely on digital workflows and complex file ecosystems, the need for effective protection, both within and beyond the perimeter, becomes paramount.
In conclusion, the shift towards unified, multi-layered platforms for AI-based file security is a response to the growing complexity and evasiveness of cyber threats. By adopting these platforms, companies can enhance their file security, improve their productivity, and reduce costs.
