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CISA Red Team Compromised Two Critical Infrastructure Orgs, One Detected Nothing

CISA red teams fully compromised two critical infrastructure orgs with similar tradecraft; one detected nothing, the other contained phishing within minutes.

CISA advisory AA26-237A, 'A Tale of Two SOCs,' describes two simultaneous red team assessments of a Government Services organization and a Water and Wastewater Systems organization, both compromised to the domain level. Organization A never detected the intrusion, enabled by default credentials, a misconfigured AD CS template (ESC1), cleartext credentials, non-expiring static AWS keys, and over-permissioned Entra ID applications. Organization B detected and isolated phishing within 2-20 minutes, though the red team still reached krbtgt via DCSync from cleartext SCCM credentials. CISA attributes the outcome gap to people and processes rather than the security tools themselves.

The Hacker News · 21d agoAdvisory

Now everyone can put data to work

OpenAI launched a Data agent in ChatGPT Work that connects to enterprise warehouses and builds shareable analysis dashboards without SQL.

OpenAI introduced a Data agent in ChatGPT Work that connects to approved sources including Snowflake, BigQuery, Databricks, Redshift, ClickHouse, MongoDB, and Datadog, plus files from Google Drive and SharePoint. It investigates metric changes, builds interactive dashboards, and integrates with BI tools such as Power BI, Tableau, Omni, Sigma, and ThoughtSpot using semantic layers from dbt, Databricks Genie Ontology, and Snowflake Horizon. Queries enforce the connected account's existing table, row, and column permissions, with administrators controlling access via Workspace settings. OpenAI says nearly all of its product team and over two-thirds of its GTM organization use it internally, and NTT Data, Thermo Fisher, and ServicePiston are Alpha customers.

OpenAI News · 6d agoAI industry

[AINews] Muse Spark 1.3 matches GPT-5.6-Sol, confirming Meta Superintelligence as the newest Frontier Lab, >90% discount for training

Meta's Muse Spark 1.3 reportedly ranks as the world's #3 model, matching frontier models from OpenAI and Anthropic with planned open weights.

The Latent Space AI News roundup leads with Muse Spark 1.3, promised in Zuckerberg's letter, which ranks #3 worldwide per AAII, is slated for open weights, and uses a pricing model over 90% cheaper when users opt in to training. The issue also covers the rumored Gemini 3.8 Flash launch and analysis arguing OpenAI's rumored looped-transformer 'Astra' architecture is a modest tweak rather than a breakthrough. Additional coverage includes ByteDance Seed's HarnessDev harness-evaluation benchmark, a retrieval-invoked actual-use evaluation method, Stanford's revamped agent engineering curricula, and Photon 2.1 adding TTS models and NVIDIA B200 support.

Latent Space · 14d agoModel release1