Humans are now the weakest link
Social-engineering, phishing, and spoofing scams resulted in ~$50B globally in losses in 2025. The UN reported cyber fraud in East Asia alone caused $18–37B in losses. AI is turning deception into an industrial-scale operation.
The Human Is the Target
Cybersecurity hardened software for two decades, but the highest-ROI target is still the human. AI is making humans dramatically easier to exploit at near-zero marginal cost.
AI Supercharges Attackers
Attackers now generate convincing voices, faces, writing styles, fake websites, and emotionally tailored messages. The FBI warned of AI-powered impersonation of senior U.S. officials in 2025.
Multi-Channel, Multi-Surface
A modern attack begins with a spoofed email, moves into a messaging app, borrows credibility from a compromised colleague, escalates through a professional network or voice call, and ends in wire fraud or account takeover.
Multi-surface defense for an AI-native world
Common Defense protects every major trust surface: personal and work email, messaging apps, social platforms, professional networks, and voice and video calls.
One Defense Across Every
Communication Channel
Common Defense
The combined intelligence layer
Cross-Channel Data Moat
Most security tools only see one surface. Common Defense sees the interaction between surfaces — the highest-signal indicators of social engineering appear only when multiple weak signals combine.
Real-Time Attack Intelligence
Every attack encountered improves the system. The network effect of aggregated telemetry creates a compounding advantage that gets harder to replicate over time.
Human Trust + Adversarial Graph
The system models not only known contacts and identities, but how attackers sequence persuasion, urgency, impersonation, and escalation. Much harder to replicate than a spam filter.
Product Breadth = Retention
The more accounts, contacts, and devices connected, the more valuable the product. That improves retention and makes it harder to replace with single-surface substitutes.
See it in action
World-class AI research meets adversarial security
Common Defense is built by a team of world-class AI researchers and red-team security experts with a track record of securing more than $300 billion of value for 1,000+ organizations, in adversarial domains such as Web3 and AI.
Defending against AI-powered social engineering requires red-team intuition, fast response loops, and deep judgment about adversarial behavior. As AI erodes trust across every digital channel, we're building the defense layer that keeps people and organizations safe.
Built by a team which worked at or contributed to