Securing Software at the Speed of AI

This post details the evolution of Palantir's agentic software security strategy, focusing on the development and productionization of Security Forge. It highlights five key insights: 1) Models need a harness (AIP) for orchestration, work division, and evidence preservation. 2) Harness quality depends on organizational context (Foundry Ontology) for data, models, and decisions. 3) Context must remain under organizational ownership for data sovereignty. 4) Remediation is the new bottleneck, addressed by Apollo for fleet-wide fixes. 5) Durable capability lies in the governed process and infrastructure (Foundry, AIP, Apollo) rather than just models. The post elaborates on how AIP orchestrates agents for mapping, hunting, validation, and synthesis, incorporating organizational data via the Foundry Ontology. It emphasizes the model-agnostic nature of AIP and the importance of repeated execution and cross-model comparison. The evolution focuses on building a governed process and infrastructure to adapt to evolving models and threats.