Secure Semantic Search with LLMs

Empowering defense, national security, and homeland security agencies with secure, confidential search across structured and unstructured data using best-in-class LLMs.

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Search Across Modalities

Search text, image, audio, or video without exposing the content or queries.

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Run Secure Recognition

Run facial recognition and object detection without revealing identities or search intent.

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Use LLMs Across Security Zones

Use LLMs from high-to-low or high-to-high zones without risking data leakage.

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Maintain Full Control

Remain in control of encrypted prompts, encrypted data, and encrypted results.

How We Do It

Our Zero Footprint Semantic Search solution combines quantum-safe cryptography with advanced LLM-generated embeddings to enable secure, confidential search and investigations across any data type.

Cryptography

Software development concept.

Securely analyze remote datasets with privacy-preserving searches. Never expose your search terms or results to ensure operational security and confidentiality.

Data Management

Embeddings

Big data visualization.

Bring your own LLM or use open-source models to generate semantic vectors. With Duality, these embeddings are encrypted before search—ensuring that even vector similarity operations don’t leak insights or intent.

Multi-Modal Search

Digital Space Cyber Background Search Glass

Search across diverse data types including: text reports and documents, images, videos, and satellite photos, and audio, call recordings, and structured records. Encrypted processing ensures privacy at every layer—across domains, partners, and jurisdictions.

Public Sector

Threat Detection and Investigation

Defense, intelligence, and homeland security teams can securely analyze distributed, multi-source data—like satellite imagery, intelligence reports, weather feeds, and open-source content—without exposing sensitive targets, methods, or intent.

  • Why privacy: Preserve OPSEC across domains and allies while enabling joint situational awareness
  • Example: “Retrieve drone footage from X region with weather anomalies in the last 72 hours” or “Search across ISR and open-source data for emerging activity near base Y”
Public Sector

Detecting and Investigating Threats

For law enforcement, defense, and homeland security: identify threats across multimodal datasets like intelligence briefs, emails, images, and satellite feeds—without revealing search parameters.

  • Why privacy: Protect against adversaries exploiting queries or targets
  • Example: “Find images of suspected chemical facilities near coordinates X,Y” or “Locate documents mentioning Person A and the word ‘bomb’”
Data Protection
Public & Private Sector

Regulatory & Legal Compliance Investigations

Used by tax authorities, auditors, regulators, and corporate legal teams to securely investigate fraud, compliance, or misconduct using contracts, call logs, emails, and financial records.

  • Why privacy: Prevent tipping off subjects, protect investigation strategy
  • Example: “Find financial statements that contradict clauses in Contract X” or “Search for procurement anomalies by Vendor Y”
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Public Sector

Sensitive Public Health & Epidemiological Investigations

Public health agencies can investigate outbreaks or incidents without revealing sensitive subjects, locations, or strategies—searching across EMRs, lab results, case reports, and social media.

  • Why privacy: Prevent public panic or geopolitical exploitation
  • Example: “Locate clusters of symptoms near military base” or “Identify posts suggesting biological exposure”
Private Sector

Financial & Risk Analytics

Banks, hedge funds, and insurers can analyze contracts, earnings calls, and market indicators to assess risk or opportunity—without revealing trading strategy or internal models.

  • Why privacy: Guard IP and competitive advantage
  • Example: “Compare clause changes in Credit Default Swap contracts before and after crisis Y”
Private Sector

IP Portfolio & R&D Strategy Management

Pharma, biotech, and tech companies can search internal research and public patents to manage risk and unlock value.

  • Why privacy: Avoid revealing strategic direction or breakthrough discoveries
  • Example: “Find public patents that overlap with internal compound Z” or “Identify microscopy videos related to mechanism X”

Benefits

Unmatched Security & Privacy

  • Run encrypted queries without revealing subjects, sources, or search goals
  • Built on OpenFHE: the leading open-source FHE library, trusted by DARPA and IARPA
  • Future-proof: resistant to quantum threats with post-quantum cryptography

Mission-Ready Performance

  • Real-time, cross-domain investigations—no data movement, no delays
  • Bypass long data-sharing approvals with encrypted access
  • Full support for text, images, audio, video, and structured records

Seamless Collaboration

  • Share insights—not raw data—across jurisdictions and partners
  • Maintain national control over all data and query logic

Search Everything. Reveal Nothing.

Encrypted Multimodal Search with LLMs—Purpose-Built for Defense, Intelligence, and Sensitive Commercial Use

Experience secure, multi-modal search and AI capabilities without compromising privacy or control.