Actively hunt espionage, fraud, criminal operations, cyber warfare threats, or leaks from naïve or malicious insiders.
RPost’s PRE-Crime™ preemptive cybersecurity solution, powered by proprietary RAPTOR™ AI, enables you to see threats the moment cybercriminals start their recon, often from compromised email accounts outside your network endpoints at less-resourced coalition partners and third parties.
PRE-Crime, powered by our RAPTOR AI framework, deters naïve and malicious leakers. If a leak persists, RAPTOR AI curates newly generated forensic metadata related to a leak and uses AI to attribute the leak to leakers, content, and organized state-sponsored or cybercriminal cabals. Further, for the leak-in-progress, RAPTOR AI un-leaks the leaked information by preemptively auto-locking the content agentically upon unexpected access attempt before sensitive content is seen, wherever that content may reside.
Gathers behavioral data from interactions with emails and documents -- both inside and outside your organization’s endpoints.
Uses custom AI models -- including natural language processing (NLP), large language models (LLM) and machine learning (ML) -- to pre-empt leaks and/or identify leaks-in-progress.
Curates data breadcrumbs from both insider and external cybercriminal reconnaissance activities, even those occurring outside one’s network perimeter.
Identifies naïve and malicious threat actors -- insiders or external attackers -- through AI-driven attribution. This includes attributing to users, devices, content, phishing authors, impersonators, and state-sponsored cabals.
Proactively kills compromised content -- email messages or documents -- based on detected risks, stopping data leaks in their tracks. Psychologically deters leakers circumventing traditional DLP and document rights management with overt awareness and covert forensic attribution cemented to documents associated with each viewer by page view. If leakers persist, proactively kills compromised content -- email messages or documents -- based on detected risks, stopping data leaks in their tracks.
