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Public story · 2026-03-14 · source-backed
Perplexity's formal response to NIST's 2025-0035 RFI documents security observations from operating production agentic systems at millions of users. The core finding: agent architectures fundamentally break code-data separation and authority boundaries, requiring new security primitives beyond user-input filtering. This is the most authoritative industry reference for organizations architecting agent security policy.
Each link below shares sources, entities, or timing with this story.
NIST partners with Google DeepMind / Shared entities / Same source domain / Shared topic / Earlier coverage
Linked by a graph relationship (NIST partners with Google DeepMind); both cover Agent Security, NIST; reported by the same outlet (arxiv.org).
Perplexity released Computer / Shared entity: Agent Security / Same source domain / Earlier coverage
Linked by a graph relationship (Perplexity released Computer); both cover Agent Security; reported by the same outlet (arxiv.org).
Shared entities / Shared topic / Earlier coverage
Both cover Agent Security, NIST, RFI; overlapping topics (agent, nist, security); earlier Agent Security coverage from 2026-03-04.
Perplexity released Comet / Shared topic
Linked by a graph relationship (Perplexity released Comet); overlapping topics (agent, agentic).
Shared entities / Shared topic / Earlier coverage
Both cover NIST, RFI; overlapping topics (agent, nist, security); earlier NIST coverage from 2026-03-02.
Galaxy S26 uses Perplexity / Shared entity: Perplexity / Shared topic / Earlier coverage
Linked by a graph relationship (Galaxy S26 uses Perplexity); both cover Perplexity; overlapping topics (agent, agentic).
Perplexity partners with NVIDIA / Shared entity: Perplexity / Same source domain / Earlier coverage
Linked by a graph relationship (Perplexity partners with NVIDIA); both cover Perplexity; reported by the same outlet (arxiv.org).
NIST partners with Microsoft / Shared topic
Linked by a graph relationship (NIST partners with Microsoft); overlapping topics (agent, agentic).