Integrated threat assessment & pattern of life – National security teams need to discern between routine activity and emerging threats. Lucerna fuses multi‑INT data (signals, imagery, human and open‑source) and applies pattern‑of‑life analytics to reveal normal behaviors across populations, facilities or individuals. Analysts can then use AI‑driven search and summarization to surface deviations—such as changes in communication patterns or travel routes—that may indicate extremist mobilization or covert activity. Ask Lucerna lets them pose natural‑language questions and retrieve the supporting evidence quickly.
Continuous vetting & insider‑threat identification – By combining public information, internal logs and communications, Lucerna builds a comprehensive behavioral baseline for cleared personnel. Pattern‑of‑life analysis flags anomalies—unusual travel, new financial behavior or shifts in online activity—that may warrant closer scrutiny. AI summarization distills these findings into concise briefs for security officers, who remain responsible for final decisions.
Border & supply‑chain monitoring – Illicit networks often rely on predictable routines to move goods or people. Lucerna correlates travel records, cargo manifests and sensor data to establish typical patterns for shipments or border crossings. Anomalous movements—such as a vessel deviating from its regular route—are highlighted by pattern‑of‑life analytics, enabling analysts to focus investigations where they matter most.
Multi‑domain situational awareness & pattern analysis – Lucerna aggregates multi‑INT feeds across air, land, sea and cyber to build a baseline of daily activity. Pattern‑of‑life analytics identify regular patrols, supply convoys or communications schedules, helping commanders distinguish between routine operations and potential threats. When anomalies occur—such as unexpected troop movements or changes in radio traffic—analysts can query Ask Lucerna to understand context and implications.
Operational planning & mission preparation – Before deployments, planners must understand adversary routines and environmental factors. Lucerna’s pattern‑of‑life tools analyze historical data to reveal typical behavior around key locations or routes, informing risk assessments and mission planning. AI summarization condenses the findings into actionable briefs for unit commanders.
Target identification & correlation – Identifying high‑value targets requires discerning habitual behavior from meaningful deviations. Lucerna’s multi‑INT fusion and pattern‑of‑life analytics reveal when a communications node or logistics hub starts operating outside its norm, signalling potential changes in priority or vulnerability. Analysts remain in control, using these insights to corroborate intelligence before recommending action.
Complex investigations & organized crime – Criminal networks often follow consistent routines—patterns in phone calls, financial transactions or movements. Lucerna unifies disparate data sources and applies pattern‑of‑life analytics to highlight deviations from those routines, such as sudden spikes in cash transfers or changes in travel behavior. Investigators can use Ask Lucerna to query these anomalies, then visualize relationships through graph analysis.
Protective security & event monitoring – Public safety teams need to understand baseline activity around venues and infrastructure. Lucerna’s pattern‑of‑life tools establish normal traffic flows and social‑media activity, flagging unusual surges or new behaviors. Human analysts review these anomalies and coordinate with stakeholders, supported by AI‑generated summaries.
Missing persons & victim recovery – Establishing a person’s typical routines helps narrow down search areas when they go missing. Lucerna correlates call logs, vehicle movements and public data to map the individual’s pattern of life. Deviations—such as a car leaving its usual area—are highlighted, giving investigators a starting point for search operations.
Fraud & AML investigations – Fraudsters and money launderers often operate within predictable patterns until they need to move large sums or disguise transfers. Lucerna’s pattern‑of‑life analytics examine transaction histories, communications and corporate filings to establish normal behaviour. Outliers—unusual transaction sizes or sudden account activity—are surfaced for further investigation. AI‑driven search and summarisation help compliance teams evaluate these anomalies quickly.
Sanctions & trade compliance – Shipping and trade activities follow regular schedules. By analysing AIS signals, trade documentation and historical routes, Lucerna establishes baseline patterns for vessels and suppliers. When a ship deviates from its typical path or a supplier changes its behaviour, the anomaly is flagged for review. Analysts can then use Ask Lucerna to pull additional context from internal and external sources.
Enhanced due diligence & continuous KYC – Understanding a customer’s typical behaviour is key to effective risk management. Lucerna monitors multi‑INT data streams to build pattern‑of‑life profiles for individuals and entities. Significant deviations—such as sudden increases in offshore transactions—trigger deeper research. LucernaDB’s vector search retrieves similar patterns from past cases, while AI summarisation produces concise updates for compliance officers.