Securing the Human Endpoint
Strengthening human-centric resilience against hard-to-spot threats.

Protect your team from AI-powered social engineering attacks. Our privacy-engineered platform catches phishing, impersonations, financial scams, and human-targeting cybersecurity threats across all employee devices and messaging channels. As AI continues to steeply increase the risk and severity of human-centric attacks, our expertise in AI and NLP interventions allows us to identify attack vectors upstream of potential data exfiltration.
With the increase in the ratio of cybercrimes, SMEs have been overlooked in terms of cybersecurity measures, leaving them unprepared to deal with the increasing frequency, sophistication, and destructiveness of cyber challenges. 1
We don't just block threats, we teach your team to spot them in real time. Our platform builds digital literacy and critical thinking skills, guiding employees through real threats so they become your strongest defense against future attacks.
This will make your business resilient even to new unseen type of attacks that traditional cybersecurity software cannot yet detect.
Our methodology combines lightweight, privacy-first detection methods and strategic escalation to advanced technologies:
- We employ robust structural analysis to the content, metadata and provenance of incoming and outgoing communications, detecting a wide range of threat patterns, from inauthentic URL constructions, expired certificates, use of blocklisted domains, cross-platform attack strategies and atypical historical activity to more nuanced linguistic pattern analysis for detecting suspicious behavior like PII requests and appeals to false urgency.
- As AI experts, we're able to effectively and securely escalate more sophisticated threats for LLM analysis where natural language understanding and detection of subtle dark patterns is crucial. Off-device analysis is strictly controlled to ensure that private user data never leaves the device on which it's required.
Scope
60% of data breaches involve human activity. 2
35% of SMBs believe their cyber resilience is inadequate, a sevenfold increase since 2022. 3
42% of
organizations report increased social engineering attacks. 4
Discovery Calls & Pilot Projects
We’re inviting a limited group of early customers and partners to be the first to benefit from this solution. Get in touch with us at smallteam@bigfilter.ai.
Footnotes
- Awan, M., Alam, A., & Kamran, M. (2025). Cybersecurity Challenges in Small and Medium Enterprises: A Scoping Review. Journal of Cyber Security and Risk Auditing, 2025(3), 89–102. https://doi.org/10.63180/jcsra.thestap.2025.3.7
- Verizon. 2025. 2025 DBIR SMB Snapshot. Verizon Business. Accessed August 11, 2025. https://www.verizon.com/business/resources/infographics/2025-dbir-smb-snapshot.pdf.
- World Economic Forum. 2025. Global Cybersecurity Outlook 2025. Geneva: World Economic Forum. Accessed August 11, 2025. https://www.weforum.org/publications/global-cybersecurity-outlook-2025.
- Ibid.