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33
Feature trailActive

Agentic Software Security

This post details the evolution of Palantir's agentic software security strategy, focusing on the development and productionization of Security Forge. It highlights the critical role of a 'harness' (orchestration platform like AIP) in managing AI security agents, the importance of organizational context (leveraging Foundry for an Ontology) to enhance agent effectiveness, the necessity of maintaining data sovereignty, and the shift in bottleneck from vulnerability identification to remediation. The system leverages AIP for orchestration, Foundry for context and lineage, and Apollo for remediation across the software fleet. It emphasizes model-agnosticism and the importance of a governed process and infrastructure around AI models and harnesses.

4 posts · 2026

Timeline

Feature trailActive

AI Sovereignty and Data Protection

This post details the evolution of strategies for maintaining AI sovereignty and protecting proprietary data when using hosted AI model providers. It focuses on contractual protections like Zero Data Retention (ZDR), restricting data usage, and ensuring adequate liability caps. It also outlines operational best practices for tracking and permitting only services covered by contractual protections, including managing beta services, handling safety classifier triggers, and addressing ZDR exceptions. This iteration adds guidance on managing prompt caching configurations and ensuring that terms from model creators are honored by the hosting platform.

2 posts · 2026

Timeline

Feature trailActive

Elasticsearch Reindex Machinery

This post details the evolution of Palantir's Elasticsearch reindex machinery within the document store service. It covers requirements for schema-aware reconstruction, low manual action, automatic inconsistency detection, bounded resource usage, and online reindexing. The implementation uses a shadow index, Elasticsearch index aliases, and a schema-level metadata table for orchestration. The system is designed to be cluster-agnostic, supporting both single-cluster and cross-cluster reindexing. This iteration focuses on optimizing the reindex process for performance and reliability, particularly in handling large datasets and complex schema changes, and introduces mechanisms for more granular control and observability during reindex operations.

2 posts · 2026

Timeline

Feature trailActive

3D Geospatial Visualization

This post details the evolution of Palantir's 3D geospatial visualization system, Gaia, powered by the custom Three.js library Zodiac. It focuses on rendering Ontology objects with geospatial properties for defense and intelligence operations. Key technical aspects include handling high-density visualizations of satellite positions using instanced meshes, efficient orbit propagation with TLEs and a circular buffer for path rendering, and implementing lines of sight between objects. The system addresses performance challenges at the poles with polar scaled tiles and optimizes orbit path rendering by reusing calculations and advancing a queue of track points. It also details the implementation of lines of sight between objects, considering Earth obstruction.

2 posts · 2026

Timeline

Feature trailActive

Ontology-driven Enterprise Adaptability

This post details the evolution of Palantir's AI-enabled Customer Service Engine (CSE), focusing on its implementation at a large tools manufacturing, wholesale, and retail business. It highlights the challenges of building scalable, accurate, and consistent AI for customer service and introduces a multi-agent architecture to address context window constraints, query response times, and scalability. The system leverages an Ontology tailored to the partner's operations, integrating data from various enterprise systems (SAP, Salesforce, UPS, ERPs) and utilizing approximately 50 deterministic 'tools' (retrieval mechanisms, similarity search, pricing/availability models, external web-hooks) for AI agents to use. The CSE achieved over 90% query resolution within six weeks, with complex cases escalated and a feedback loop for continuous learning. Key impact metrics include faster response times (<10 seconds for resolution actions), reduced repeat queries (75+%), and improved fraud detection.

12 posts · 2022–2026

Timeline

20222026
Feature trailActive

SAP Data Integration with HyperAuto

This post details the evolution of Palantir's HyperAuto capability for integrating data from enterprise resource planning (ERP) systems, specifically focusing on SAP. It highlights the challenges of direct integration due to complex schemas and the development of HyperAuto as a solution. HyperAuto analyzes ERP metadata to generate robust data pipelines, denormalizes and reconstructs business objects, and supports pushing integrated data to various cloud platforms or the Foundry Ontology. Key features include built-in connectors for common ERP/CRM systems, flexible tooling for other data sources, Software-Defined Data Integration (SDDI) for generating Spark code, and robust data governance. The tutorial demonstrates integrating SAP data for supply chain disruption analysis by setting up connections, exploring data, importing pre-packaged workflows, customizing imports, exploring table relations, and configuring syncs.

2 posts · 2022–2026

Timeline

20222026
Feature trailActive

AI Infrastructure and Ontology

This post details the evolution of Palantir's AI infrastructure and its integration with the Ontology, focusing on how the Ontology serves as a foundational layer for AI systems. It highlights advancements in how AI models leverage the Ontology for context, reasoning, and data access, and how the infrastructure supports the deployment and scaling of these Ontology-aware AI capabilities. The Ontology is presented as a decision-centric architecture that integrates data, logic, action, and security.

6 posts · 2021–2026

Timeline

20212026
Feature trailActive

Multilingual Collaboration Features

This post details the development of read-only translation mode for Dossier, Palantir's collaborative text editor. It extends existing multilingual capabilities across other communication apps (Chat, Slides) by implementing secure, in-house translation. Key technical aspects include shared UI components, Redux state management for translation status, block-level chunking for balancing quality and speed, lazy, incremental translation using Intersection Observer API, handling real-time edits and c

2 posts · 2026

Timeline

Feature trailActive

Polar Scaled Tiles for 3D Globe Rendering

This post details the development of polar scaled tiles within Palantir's Zodiac 3D globe library to address performance issues at the poles. The system moves from a standard Web Mercator tiling approach, which causes excessive geometry generation near the poles, to a surface-area-aware tiling strategy. This involves calculating tile spans based on spherical surface area, dynamically adjusting child tile counts in the quadtree, and implementing client-side texture stitching and heightmap resampling. The system also addresses blending to fixed heights over a 5-degree transition zone at the actual poles.

2 posts · 2026

Timeline

Feature trailActive

Cross-Application Frontend Communication

This post details the development of Palantir's cross-application communication frameworks, 'Shared State' and 'Commands', designed to enable seamless interaction between different applications (like Gaia and Workshop) using only frontend browser APIs. This approach is crucial for environments with unreliable network connectivity (DDIL). The frameworks allow applications to share state in real-time and invoke imperative actions on each other, extending their utility and enabling new workflows, including integration with AIP agents as tools.

2 posts · 2026

Timeline

Feature trailActive

Data Interoperability Framework

This post details the evolution of Palantir's approach to data interoperability, emphasizing the need for standardized and efficient data sharing between systems. It outlines common issues like custom formats, lack of export mechanisms, scale limitations, and security concerns. The post highlights the benefits of robust interoperability for collaboration, data migration, and system sunsetting, positioning it as a key strategy to combat data entropy in complex ecosystems. This post adds that Foundry extends traditional data platforms by integrating models, a dynamic semantic layer (ontology), modular workflows, and decision orchestration, enabling operational connectivity beyond mere insights.

2 posts · 2023–2026

Timeline

20232026
Feature trailActive

AI-powered Defense Integrations

This post details the evolution of Palantir's Maven Smart System (MSS) by showcasing its integration capabilities with third-party AI solutions for defense applications. It highlights how MSS's open architecture enables rapid fielding of new technology combinations, specifically detailing integrations with Safran.AI for object detection in satellite imagery and Quantum Systems for tactical drone tasking. The post emphasizes the use of Ontologies to enrich data, enable reasoning for AIP Agents, and facilitate real-time data synchronization from edge devices. The integration with Quantum Systems demonstrates connecting strategic intent with tactical execution by generating mission plans in MSS, sending them to MOSAIC for execution, and receiving key insights back in MSS, including drone location data and sensor detections.

2 posts · 2026

Timeline

Feature trailActive

PFCS Forward Authorization Extension

This post details the evolution of Palantir's authorization model, extending PFCS Forward to cover on-premises and edge environments. This enables a unified 'authorize once, use many' approach across Palantir's software stack (Foundry, Gotham, Apollo, Rubix, AIP) and third-party software deployed via Mission Manager. Key advantages include hardware agnosticism, fostering a multivendor ecosystem, and integrated security across the entire stack. The system leverages Rubix for hardened Kubernetes and Apollo for autonomous deployment, with the Ontology providing granular access controls.

2 posts · 2025–2026

Timeline

20252026
Feature trailActive

Generative AI Evaluation Framework

This post details the evolution of Palantir's framework for evaluating generative AI systems, focusing on designing testing plans, defining 'good' outputs through syntax and semantics, and leveraging ground truth data. It emphasizes understanding end-to-end workflows and testable AI tasks, and outlines methods for curating evaluation data using benchmarks and domain expertise. This iteration likely refines the framework with new techniques or expands its applicability to more complex insurance underwriting scenarios.

2 posts · 2025–2026

Timeline

20252026
Feature trailActive

VS Code Extension Management and Security

This post details the evolution of Palantir's approach to managing and securing VS Code extensions at scale. It introduces a centralized platform for extension lifecycle management, including discovery, deployment, and monitoring. Key technical challenges addressed include ensuring extension security through sandboxing and vulnerability scanning, managing dependencies, and providing a consistent developer experience across different environments. The system aims to balance extensibility with security and operational efficiency.

2 posts · 2025–2026

Timeline

20252026
Feature trailActive

Tariff Management and Supply Chain Resilience

This post details the evolution of Palantir's capabilities for managing global trade complexities, specifically focusing on the impact of tariffs on supply chains. It highlights how Palantir's Artificial Intelligence Platform (AIP) and Ontology system enable businesses to rapidly model supply chain adjustments, recalibrate forecasts, optimize pricing, and execute dual-horizon responses. The system integrates diverse data sources to provide a unified view of tariff impacts, facilitates dynamic forecasting, and supports strategic pricing and sourcing decisions. This iteration likely refines the integration of new tariff data and enhances the AI's ability to model complex, multi-country retaliatory tariff scenarios.

2 posts · 2022–2026

Timeline

20222026
Feature trailActive

Real-time Data Streaming

The Real Data Platform (RDP) powered by Palantir Foundry has evolved to integrate diverse data sources, including nursing records, patient data, and facility information, to provide a unified view for improved decision-making in elder care. Key applications include optimizing clinical staffing ratios, reducing Post-Anesthesia Care Unit (PACU) hold times through predictive modeling, and moving from reactive to proactive care through real-time data logging and harnessing sensor data for proactive health monitoring.

2 posts · 2024–2025

Timeline

20242026
Feature trailActive

Purpose Justification Framework

The Checkpoints framework has evolved from its initial purpose of data protection compliance (GDPR, FIPPs) to a more generalized system for configurable confirmation dialogs. This allows for custom prompts, justification requirements (dropdowns, free-text), and policy linking for sensitive actions. It scales governance by gating over 60 action types and providing administrators with rich contextual history for auditing.

4 posts · 2023–2025

Timeline

20232026
Feature trailActive

Apollo Edge Deployment

Apollo is Palantir's platform for software deployment, designed to manage software across diverse environments, including resource-constrained and intermittently connected edge devices. It addresses challenges related to latency, bandwidth, resource limitations, network connectivity, security, privacy, and reliability. Innovations include optimized deployment for edge devices, handling intermittent connectivity with multi-version upgrade strategies, robust security features like continuous vulnerability management, and the ability to meet stringent security requirements like IL6.

3 posts · 2022–2025

Timeline

20222026
Feature trailCooling

Monotonicity in Databases and APIs

This post details the evolution of Palantir's approach to designing systems with monotonicity in mind, extending previous discussions on databases and APIs. It emphasizes how understanding and leveraging monotonicity can lead to more efficient query optimization, robust API design, and stronger system invariants. The post likely elaborates on practical implementation strategies and trade-offs, particularly in scenarios involving data deletion or complex state management, building upon the foundational concepts of monotonic queries and APIs.

2 posts · 2022–2025

Timeline

20222026
Feature trailCooling

On-Prem Security Benchmarking

This post details the evolution of Palantir's on-premises security capabilities, introducing 'Insight' for host-level benchmarking against rigorous security standards. Insight is a Go binary that performs modular checks on Linux hosts, going beyond industry benchmarks like DISA STIGs and CIS. The results are ingested into Palantir Foundry, forming an 'Insight Ontology' with objects for Host, Scan Report, Check, and Result. This enables collaborative reviews in a dedicated Workshop application, f

1 post · 2025

Timeline

20252026
Feature trailCooling

Passwordless Authentication Rollout

This post details the technical controls and configuration steps for rolling out FIDO2 hardware authenticators (YubiKeys) within an Azure AD environment. It covers enabling FIDO2, enforcing AAGUIDs and key attestation policies for security, enabling Azure AD Multi-Factor Authentication, configuring Authentication Strengths to restrict allowed methods (FIDO2, WHFB, TAP), and outlines the use of Conditional Access Policies (CAPs) to enforce these configurations. It also touches on edge cases like passwordless authentication via Microsoft Authenticator for mobile devices.

2 posts · 2024–2025

Timeline

20242026
Feature trailCooling

Forward Deployed Infrastructure Engineering

The Forward Deployed Infrastructure Engineering (FDIE) capability has evolved to formalize the discipline of operationalizing and scaling infrastructure in customer environments. This includes the development of reusable infrastructure patterns by a 'Baseline Team' and their adaptation and deployment by FDIEs to meet specific customer needs. A continuous feedback loop between FDIEs and the Baseline Team ensures ongoing improvement of core infrastructure.

1 post · 2025

Timeline

20252026
Feature trailCooling

Ephemeral Kubernetes Compute Instances

The Ephemeral Kubernetes Compute Instances capability has evolved to formalize the management of Kubernetes clusters composed of immutable, short-lived nodes (compute instances) with a maximum lifespan of 48 hours. This approach enhances resilience and simplifies operations by treating nodes like ephemeral pods, enabling automated replacement of problematic or outdated instances, improving security posture by limiting persistent access, and enforcing engineering discipline for high availability. The system includes a termination pipeline with policy-driven node selection and graceful draining, as well as instance group upgrades by replacement to manage OS and configuration changes. Telemetry is used to monitor health during rolling upgrades between instance groups.

1 post · 2024

Timeline

20242026
Feature trailQuiet since 2024

AIP Virtual Tables

This post introduces AIP Virtual Tables, a new capability within Palantir's Artificial Intelligence Platform (AIP) that allows for the creation and querying of virtual tables backed by external data sources without requiring data ingestion into Foundry. This enables real-time access to data residing in systems like Snowflake, Databricks, and cloud object storage, facilitating complex analytical queries and AI agent interactions directly on the source data. The system leverages a query federation layer that translates AIP queries into native queries for the underlying data stores, returning results to AIP for further processing. This approach significantly reduces data duplication, improves data freshness, and simplifies data management by allowing users to define virtual tables that map to existing datasets.

1 post · 2024

Timeline

20242026
Feature trailQuiet since 2024

Foundry Container Engine (FCE) for Legacy Modernization

This post introduces the Foundry Container Engine (FCE), a new capability that allows containerized legacy code to run within Palantir Foundry. FCE aims to enable organizations to modernize their critical, often decades-old, software systems incrementally and safely by abstracting away the underlying infrastructure, similar to how AWS Lambda works. It addresses challenges such as disruptive modernization, unscalable environments, siloed logic, closed ecosystems, and the disconnect between legacy model outputs and operational decisions. FCE facilitates rapid scaling, interoperability, secure collaboration, and the creation of modern, dynamic user interfaces for legacy systems, ultimately making them 100x more valuable by integrating them with other Foundry products.

1 post · 2024

Timeline

20242026
Feature trailQuiet since 2024

Continuous Vulnerability Management

This post details the evolution of Palantir's approach to continuous and scalable vulnerability management for cloud software products. It introduces the Container Vulnerability Scanner (CVS) as a framework integrating multiple scanning tools (Trivy, ClamAV, Jfrog Xray) to identify vulnerabilities in container images and software dependencies. CVS is coupled with Palantir's Continuous Deployment platform, Apollo, to automate and optimize vulnerability remediation, ensuring compliance with string.

2 posts · 2021–2024

Timeline

20212026
Feature trailQuiet since 2023

Connected Health Systems

This post details the evolution of Palantir's capabilities for building connected health systems, exemplified by its implementation at Tampa General Hospital (TGH). It highlights how Foundry is leveraged to integrate diverse data sources (nursing schedules, patient information, acuity levels) to create actionable insights for operational improvements. Key applications include optimizing clinical staffing ratios, reducing Post-Anesthesia Care Unit (PACU) hold times through predictive modeling, and improving patient flow. This iteration likely refines the system with new data integrations or advanced predictive models for enhanced operational efficiency and patient care.

2 posts · 2022–2023

Timeline

20222026
Feature trailQuiet since 2023

Financial Crime Detection and Prevention

This post details the evolution of Palantir's approach to combating modern financial crimes, emphasizing the need for advanced technological solutions to counter sophisticated criminal tactics. It highlights the inadequacy of legacy systems and fragmented data approaches, advocating for a modern data ecosystem bolstered by targeted, operations-focused artificial intelligence and data analysis. The core of the evolution lies in augmenting human intellect with AI and ML to create a proactive compliance culture, improve analyst productivity, and reduce false positives and backlogs. The system aims to provide critical infrastructure for targeted, operationally relevant AI/ML tools to address core financial crime problems.

1 post · 2023

Timeline

20232026
Feature trailQuiet since 2022

User-Minded API Design

This post details the evolution of Palantir's approach to API design, emphasizing a user-centric philosophy. It highlights the shift from purely technical considerations to understanding the needs and workflows of the end-users of APIs. The core of this evolution is the development of APIs that are intuitive, discoverable, and align with the mental models of the developers consuming them, ultimately leading to more efficient and effective integration and usage of Palantir's platform capabilities. This post specifically critiques the limitations of traditional CRUD for REST API designs and proposes alternatives like Get-and-Set, Get-and-Patch, Timestamp-Checked, and Append-Only-Log patterns to address issues such as the need for omnibus 'set' operations, updating single fields, handling concurrency, and incorporating search and security-change/hard-delete operations from the outset.

2 posts · 2021–2022

Timeline

20212026
Feature trailQuiet since 2021

COVID-19 Genetic Mutation Monitoring

This post details the initial implementation of a system for monitoring genetic mutations of COVID-19 using Palantir Foundry. It focuses on integrating diverse data sources, including genomic sequencing data and epidemiological information, to provide a unified view for tracking viral evolution and identifying potential public health concerns. The system enables rapid analysis and visualization of mutation patterns, facilitating informed decision-making for public health agencies.

1 post · 2021

Timeline

20212026
Feature trailQuiet since 2021

Git Merge Machinery Optimization

This post details the fifth iteration of optimizing Git's merge machinery, focusing on 'tree-level merging' and deferring recursion into directories modified on only one side. It introduces optimizations for trivial merges (where file/directory hashes match across all three merge sides) and modified-on-one-side merges. The new algorithm leverages hash comparisons to avoid content inspection for identical files/directories. It also introduces a strategy to defer recursion into directories modified on only one side.

2 posts · 2021

Timeline

20212026