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Orion Security emerges from stealth using LLMs to track your enterprise’s data flow and stop it from leaking out
- Orion Security has emerged from stealth with $6 million in seed funding led by Pico Partners and FXP, aiming to use large language models (LLMs) to track data flow and prevent exfiltration.
- Traditional data protection tools are being outpaced by the complexity and speed of data flow within organizations, making it crucial to adopt AI-powered solutions like Orion Security's platform.
- Orion Security's platform dynamically learns an organization's business processes to differentiate between legitimate data movement and potential threats, providing a more effective approach than manual policy-based security models.
- Their AI models, including proprietary ones and fine-tuned open-source LLMs, automate data protection by classifying sensitive data based on context and assessing user roles and data movement patterns.
- Orion Security's Indicators of Leakage (IOL) engine leverages proprietary reasoning models and LLM classification to analyze data movement patterns and detect anomalies in real-time.
- The platform offers real-time insights into data flows, categorizing risk severity and enabling security teams to identify and address high-risk activities promptly.
- Orion Security's AI distinguishes between malicious insiders, human errors, and external attackers, providing a comprehensive approach to detecting and preventing data leaks.
- The company provides flexibility in response mechanisms, allowing customization based on the level of aggressiveness desired by each organization.
- Orion Security focuses on immediate value delivery during onboarding and emphasizes privacy-first security architecture, ensuring sensitive data is protected.
- By reducing manual workload, false positives, and security blind spots, Orion Security aims to lead the way in context-aware data protection solutions against evolving insider threats.
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