Tenable identifies a significant risk that its new generative and agentic AI features may produce flawed or harmful output, potentially leading to customer dissatisfaction, brand damage, and legal liability. This creates a need for robust testing, validation, and security solutions specifically designed for AI-driven applications to ensure accuracy and safety.
Filing excerpt
Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Vendors
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This page shows a preview. The full sec-10q 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/ff6f33d8-b03a-4fe8-bb37-39935d59cf5d returns this record as JSON. POST /v1/companies/enrich returns every signal for tenable.com.
{
"signal_id": "ff6f33d8-b03a-4fe8-bb37-39935d59cf5d",
"signal_type": "sec-10q",
"signal_subtype": "productLiability",
"detected_at": "2026-08-11T08:10:59.243+00:00",
"company": {
"name": "Tenable",
"domain": "tenable.com"
},
"data": {
"detail": "Tenable identifies a significant risk that its new generative and agentic AI features may produce flawed or harmful output, potentially leading to customer dissatisfaction, brand damage, and legal liability. This creates a need for robust testing, validation, and security solutions specifically designed for AI-driven applications to ensure accuracy and safety.",
"summary": "Acknowledges risk of 'misleading, insecure, inaccurate' output from its new AI features",
"excerpts": "Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes.",
"relevance": 0.75,
"sentiment": "negative",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1660280/000166028026000035/tenb-20260630.htm",
"filing_date": "2026-08-04",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "06/30",
"sales_relevance": "Quality management needed",
"signal_category": "risk",
"vendors_mentioned": [
"AWS",
"Microsoft",
"Anthropic"
],
"technologies_mentioned": [
"AI",
"generative AI",
"agentic AI",
"machine learning"
]
}
}
curl https://signals.autobound.ai/v1/signals/ff6f33d8-b03a-4fe8-bb37-39935d59cf5d \
-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":"tenable.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.