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ISC Stormcast For Wednesday, September 9th, 2026 https://isc.sans.edu/podcastdetail/10086, (Wed, Sep 9th)
SANS Internet Storm Center publishes its daily Stormcast cybersecurity news podcast for Wednesday, September 9th, 2026.
The ISC Stormcast is the SANS Internet Storm Center's daily short-form cybersecurity news podcast. This item is the episode for Wednesday, September 9th, 2026, linking to the podcast detail page. No article content was included beyond the podcast link and Creative Commons license notice, so no specific incidents or topics are described.
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ISC Stormcast For Tuesday, September 8th, 2026 https://isc.sans.edu/podcastdetail/10084, (Tue, Sep 8th)
SANS Internet Storm Center's daily Stormcast podcast digest for September 8, 2026, summarizing current internet security activity.
The SANS Internet Storm Center published its daily Stormcast audio briefing for Tuesday, September 8, 2026. The available item text contains only licensing and URL metadata, with no specific vulnerabilities, incidents, or topics described.
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ISC Stormcast For Friday, September 4th, 2026 https://isc.sans.edu/podcastdetail/10082, (Fri, Sep 4th)
SANS Internet Storm Center daily Stormcast podcast episode for Friday, September 4, 2026, summarizing current security events.
Routine daily podcast entry from the SANS Internet Storm Center dated September 4, 2026. The feed item contains only licensing text with no substantive content in this dataset.
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Honeypot-Omaha and batch.py [Guest Diary], (Wed, Sep 2nd)
A SANS ISC guest diary describes batch.py, a Python tool that consolidates honeypot logs and enriches IOCs with threat intelligence data.
Written by a SANS.edu BACS intern, the diary explains analysis of the DShield Honeypot-Omaha sensor, which uses Cowrie to emulate SSH and Telnet and log attacker activity. The author's batch.py script implements a four-phase pipeline with SHA-256-generated master and guest authentication to consolidate JSON and log files, correlate data via external APIs, and produce MITRE, CVE, geolocation, threat-score and fingerprint enrichment for investigated indicators.
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ISC Stormcast For Thursday, September 3rd, 2026 https://isc.sans.edu/podcastdetail/10080, (Thu, Sep 3rd)
SANS Internet Storm Center released its daily Stormcast audio briefing for September 3rd, 2026.
The SANS Internet Storm Center published its regular daily Stormcast podcast episode. The feed text contains no substantive threat details, only the podcast link and licensing information. No specific incidents, vulnerabilities, or advisories can be extracted from the available text.
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ISC Stormcast For Wednesday, September 2nd, 2026 https://isc.sans.edu/podcastdetail/10078, (Wed, Sep 2nd)
SANS Internet Storm Center's daily Stormcast briefing for September 2, 2026; the feed carries no substantive story details.
This is the RSS shell for the ISC Stormcast daily podcast episode dated Wednesday, September 2, 2026. The provided text contains only licensing boilerplate and a link, with no incident, vulnerability, or threat details to extract.
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ISC Stormcast For Tuesday, September 1st, 2026 https://isc.sans.edu/podcastdetail/10076, (Tue, Sep 1st)
SANS Internet Storm Center's daily Stormcast podcast for September 1, 2026 summarizes current internet threat activity; no detailed content provided.
This is the daily ISC Stormcast audio briefing from the SANS Internet Storm Center for Tuesday, September 1st, 2026. No article body was provided, so the specific stories covered in this episode cannot be extracted. Stormcast episodes typically summarize notable internet-wide security events and handler findings.
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Introducing WeatherNext 3, our most advanced and accurate global weather AI model
Google DeepMind launches WeatherNext 3, an AI weather model delivering hourly 5-km forecasts from live satellite data, now integrated across Google products.
WeatherNext 3 ingests live geostationary satellite mosaics and station observations through a Functional Generative Network (FGN) mesh transformer, producing hourly forecasts at 5-km surface resolution versus WeatherNext 2's 25-km, 6-hour grid. Independent live evaluations by Brightband rate it the most accurate global weather model to date. It adds renewable-energy variables such as 100-meter turbine-height wind speeds and solar radiation, and is integrated across Search, Gemini, Maps, Google Maps Platform, and Cloud.
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Building AI to accelerate science and improve lives
Google highlights AI-for-science advances: AlphaGenome Atlas mapping 9 billion genetic variants, WeatherNext 3 weather model, and global health AI tools.
Google detailed AI advances across science and health, including AlphaGenome Atlas, which mapped all 9 billion possible single-letter genetic changes in the human genome and was made openly available. WeatherNext 3 delivers 50% more accurate precipitation forecasts a day or more ahead and is already in products. AlphaFold is used by 4 million researchers in 190 countries, TB chest X-ray screening has processed 25,000+ scans across six nations, and the diabetic retinopathy model has supported 1.15 million screenings. Google also released its AI & Economy ATLAS global usage insights.
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MacOS 27 - First Boot, (Tue, Sep 15th)
SANS ISC documents the expected network traffic macOS 27 'Golden Gate' generates on first boot to help defenders baseline their networks.
Johannes Ullrich of SANS Internet Storm Center captured roughly 300 packets from a macOS 27 'Golden Gate' system before user login, covering DHCP, IPv6 duplicate address discovery, DNS, and TCP behavior. macOS 27 resolves hostnames like albert.apple.com (device activation, certificate-pinned), push messaging hosts, and ipv4only.arpa for NAT64 networks. The OS still uses a TCP window scale of 6, ECN, and random timestamps, with only four TCP connections observed during boot. The analysis provides a reference baseline for security teams monitoring Apple endpoints.
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Google's new AI model predicts the future from sales data, weather, and discount schedules
Google Research released TimesFM-3, a 330M-parameter multivariate time series forecasting model that tops Gift-Eval, FEV-Bench, and Time benchmarks and is on Hugging Face.
Google Research released TimesFM-3, a 330-million-parameter Transformer-based time series forecasting model trained on more than one trillion real and synthetic data points. It works zero-shot and adds multivariate support, ingesting related series, historical-only covariates, and known future events such as discount schedules and weather forecasts, while filling all future time steps in a single one-shot pass. Google reports first place among pretrained forecasting models on Gift-Eval, FEV-Bench, and Time, ahead of Amazon's Chronos-2, the Toto-2.0 family, and its own TimesFM-2.5. Weights are available on GitHub and Hugging Face, with BigQuery integration planned in the coming weeks.
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ISC Stormcast For Friday, September 11th, 2026 https://isc.sans.edu/podcastdetail/10090, (Fri, Sep 11th)
SANS ISC released its daily Stormcast podcast for September 11, 2026; the feed provides no story details.
The SANS Internet Storm Center published its daily ISC Stormcast podcast episode for Friday, September 11, 2026. The feed contains only the standard copyright notice and links, without any story details.
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numbat - AI agent observability, (Fri, Sep 4th)
SANS reviews Perplexity's open source numbat, a Go-based tool giving security teams observability, detection rules, and enforcement for AI agents like Claude and Gemini.
Numbat, Perplexity AI's open source observability tool, monitors desktop, CLI, IDE, and gateway AI agents through local hooks, OTLP/HTTP logs, and on-disk session artifacts. It ships detection rules mapped to MITRE ATT&CK (e.g., recon.network_sweep / T1046), supports enforcement mode, and packages investigations with SHA256-verified manifests and timelines. The SANS review positions it as a response to unmanaged AI agent and MCP server sprawl highlighted by the OpenAI/Hugging Face incident.
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