AI Bodyguard
Agentic protection for the AI threat landscape
Scams, phishing, and cybersecurity attacks are now AI-powered — and getting harder to detect. AI Bodyguard is our research into agentic protection frameworks that defend people and organizations against adversarial manipulation, from algorithmic attention hijacking to AI-generated fraud.
Overview
The Threat Has Changed
The attack surface for individuals and organizations has exploded. AI-generated phishing emails are nearly indistinguishable from real ones. Voice cloning enables real-time impersonation scams. Deepfakes power social engineering at scale. And social media algorithms — optimized purely for engagement — run what amounts to prompt injection on your brain.
These aren't hypothetical future threats. They're happening now, and traditional defenses weren't built for them.
AI Bodyguard is DiffLab's research program into agentic systems that actively protect humans — from everyday scams to sophisticated cognitive manipulation.
What We're Building
Cognitive Security
Social media algorithms A/B test billions of users to find content patterns that hijack your attention. Research shows attention spans have dropped from 2.5 minutes to 47 seconds since 2004, and 31% of social media use is driven by self-control problems rather than genuine desire.
Our first published work in this space is TuneOut — a practical open guide to reclaiming your attention from algorithmic manipulation using AI-powered information filtering. TuneOut walks you through the attack vectors (rage amplification, empathy exploitation, variable reward loops) and shows you how to set up LLM-based filters and surgical feed-blocking tools.
👉 Read TuneOut: difflabai.github.io/tuneout
AI-Powered Scam & Phishing Defense
AI has supercharged the offense. Phishing campaigns now use LLMs to craft personalized, context-aware messages that bypass traditional spam filters. Voice cloning turns a 10-second audio clip into a convincing impersonation. We're researching agentic systems that can detect and intercept these attacks in real-time — analyzing communication patterns, flagging anomalies, and providing active defense before damage is done.
Adversarial Input Filtering
As AI agents become embedded in daily workflows, they become attack vectors themselves. Prompt injection, data poisoning, and adversarial inputs can turn your own AI tools against you. We're building detection and filtering layers that sit between users and AI systems, catching manipulation attempts before they execute.
Behavioral Monitoring & Anomaly Detection
Whether it's a compromised account, an AI-generated deepfake, or a social engineering campaign, the signal is often in behavioral patterns. Our research focuses on lightweight, privacy-preserving monitoring that can flag when something doesn't look right — without requiring surveillance.
The Vision
The common thread across all of this work: use AI to defend against AI. As offensive capabilities accelerate, purely human-driven defense can't keep up. AI Bodyguard is about building agentic protection systems that work for you — detecting threats, filtering manipulation, and responding to attacks at machine speed while keeping humans in control.