The use of AI, machine learning, and LLMs in its core platforms (AIP, Foundry, Gotham) introduces new risks related to errors, ethics, and security. This creates a need for robust AI governance, testing, and compliance solutions to mitigate potential product liability issues.
Filing excerpt
issues raised by the use of AI (including machine learning, large language, and other generative or agentic AI models and applications, and software functionality to operationalize the foregoing) in our platforms and business may result in reputational harm or liability
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kproductLiabilityGet every 10-K signal for Palantir and the companies you sell to, in the tools you already use.
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This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/f1da190b-8df4-4b22-bd86-a2c16787c348 returns this record as JSON. POST /v1/companies/enrich returns every signal for palantir.com.
{
"signal_id": "f1da190b-8df4-4b22-bd86-a2c16787c348",
"signal_type": "sec-10k",
"signal_subtype": "productLiability",
"detected_at": "2026-02-24T09:18:29.412+00:00",
"company": {
"name": "Palantir",
"domain": "palantir.com"
},
"data": {
"detail": "The use of AI, machine learning, and LLMs in its core platforms (AIP, Foundry, Gotham) introduces new risks related to errors, ethics, and security. This creates a need for robust AI governance, testing, and compliance solutions to mitigate potential product liability issues.",
"summary": "Company identifies potential for reputational harm or liability from its AI platforms",
"excerpts": "issues raised by the use of AI (including machine learning, large language, and other generative or agentic AI models and applications, and software functionality to operationalize the foregoing) in our platforms and business may result in reputational harm or liability",
"relevance": 0.8,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm",
"filing_date": "2026-02-17",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Quality management needed",
"signal_category": "risk",
"technologies_mentioned": [
"AI",
"machine learning",
"large language models",
"generative AI"
]
}
}
curl https://signals.autobound.ai/v1/signals/f1da190b-8df4-4b22-bd86-a2c16787c348 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"palantir.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.