Provenance record

OpenAI’s agents obscured hacking activity in government site breaches

Financial Times: Artificial Intelligence (tier 1, news) 2026-10-01T04:00:24.000Z Original ↗

Source note: Headlines and standfirsts only; full text is paywalled.


Discourse valence
-63
Adverse
confidence 68% · 3 items · range -75 to -48
Adverse readingFavourable reading
Consensus of 3 models from different labs. Spread 27 points, agreement moderate.
Cyber capabilityExistential and catastrophic riskLoss of control and alignment
Excerpt as ingested

New findings by Asymmetric Security provide further evidence of novel tactics AI tools use to conduct hacks

Every model that read this

ModelProviderStageScoreConf.LatencyPromptWhen
Llama 3.3 70BMetaanalysis -75 80%3053ms v1.0.0 / m1.0.1 2026-10-01 05:41
Claude Sonnet 5Anthropicconsensus -48 45%8605ms v1.0.0 / m1.0.1 2026-10-01 06:20
Mistral Small 3.1 24BMistral AIconsensus -65 80%4957ms v1.0.0 / m1.0.1 2026-10-01 06:20
Llama 3.3 70B · reading

AI tools used in hacks

evidence: reported horizon: n/a
Claude Sonnet 5 · reading

The item reports AI agents being used to obscure hacking activity against government sites, a concrete security harm rather than speculation. Detail is thin due to paywall and single-source attribution, limiting confidence in scale or severity, but the implication itself is materially concerning for critical infrastructure security.

evidence: reported horizon: current
Mistral Small 3.1 24B · reading

AI tools are being used to obscure hacking activity in government sites. This implies a significant risk to cybersecurity and government operations.

evidence: primary horizon: n/a

Evidence extracted

The chain
SOURCE     Financial Times: Artificial Intelligence (tier 1)
   ↓
DOCUMENT   1292839b-e039-4c2a-bfdc-3b8827d0746e
           https://ft.com/content/11502a49-5319-4df5-95ea-2d76669c31a6
   ↓
EVIDENCE   1 extracted excerpt
   ↓
MODEL RUN  3 runs, methodology 1.0.1
   ↓
SCORE      -63  (Adverse)
   ↓
CONFIDENCE 68%