Trotta offers an autonomous Layer‑1 defense platform that uses machine‑learning to analyze inbound email, voice, video, and chat in under two seconds, detecting AI‑generated phishing, deepfakes, and voice‑cloning attacks before they reach employees. The system automatically blocks malicious content via API integrations with communication and collaboration tools, providing a real‑time shield without user alerts or additional agents.
Funding
Funding not disclosed
Founders
Product
Problem
Human users are the weakest link in cyber‑attack chains, with the majority of breaches beginning when an employee is tricked by AI‑generated phishing, deepfake video, or voice‑cloning attacks. Existing security tools typically alert users after the malicious content has been delivered, relying on user vigilance and training, which still results in high click‑through rates and ransomware infections.
Solution
Trotta provides an autonomous Layer‑1 defense platform that uses a machine‑learning engine to simulate attacker behavior and evaluate inbound communications in real time. The system analyzes email, voice calls, video messages, and other channels in under two seconds, detecting AI‑generated deepfakes and social‑engineering attempts before they reach the employee. When a threat is identified, Trotta blocks the content via API integration with email, collaboration, and telephony services, eliminating the need for user alerts, training, or behavior changes. A built‑in ROI dashboard quantifies prevented breach costs, while seamless integration with existing SIEM, SOAR, and EDR solutions ensures the platform complements rather than replaces current security stacks.
Target Audience
Primary customers are security leaders in mid‑size to large enterprises—such as CISOs, IT security managers, and risk officers—who need to protect their workforce from AI‑driven social engineering attacks across email, voice, and video channels.
Features
- Real‑time threat analysis (<2 seconds) for email, voice, video, and chat using proprietary ML models that simulate attacker tactics
- Automatic blocking of AI‑generated phishing, deepfake, and voice‑cloning attacks via API integrations with M365, Google Workspace, Zoom, Slack, and other communication platforms
- High detection accuracy (email ≥ 92 %, voice ≥ 88 %, video ≥ 85 %) with continuous model improvement from production data
- ROI dashboard displaying dollars saved based on blocked attacks and average breach cost calculations
- No client‑side agents or hardware; deployment typically completes within 30 minutes to a few days
- SIEM/SOAR API access for centralized incident management and reporting