Couverture de The Exchange Daily - January 1, 2026

The Exchange Daily - January 1, 2026

The Exchange Daily - January 1, 2026

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 Just a quick reminder, The Exchange Daily is still free but will require you to subscribe at tie.metora.solutions. If you want more than Daily updates, the Exchange Weekly is your deep dive but requires a paid subscription. The end of year sale has been extended through the end of next week. So, if you enjoy both the Exchange Daily newscast and the Exchange Weekly Indepth Newsletter, trade a single cup of coffee for a subscription each month at https://go.metora.solutions/New-Years-Special. OpenAI updates ChatGPT Enterprise and Edu release notes (GPT-5.2 early access and custom GPT transition date)OpenAI updated its ChatGPT Enterprise and Edu release notes with changes you should treat like a platform release, not casual product news. The update highlights GPT-5.2 early access for eligible workspaces and sets a dated transition that affects how teams create and manage custom GPTs. If your organization runs internal GPT catalogs or relies on GPT-based workflows, this is a good moment to tighten publishing controls, confirm ownership, and run a quick regression test plan against your highest-value use cases. The practical takeaway is simple: put the transition on your change calendar, communicate it to stakeholders, and make sure your governance and audit posture is ready before behavior changes land in production.Sources:* 2025-12-11 | https://help.openai.com/en/articles/10128477-chatgpt-enterprise-edu-release-notesGoogle Vertex AI grounding with Google Search clarifies billing and audit implications for Gemini 3Google’s documentation on grounding with Google Search in Vertex AI is a reminder that higher quality, search-grounded answers also introduce metered external dependencies. That matters because it changes how teams forecast cost, set policy, and control what data is permitted to reach external search systems. For enterprise deployments, grounding should be treated as both a quality feature and a governance feature, with clear guardrails on prompts, query volume, and acceptable use. Teams that measure and cap usage will be better positioned to scale grounded experiences without surprise spend or compliance friction.Sources:* 2025-12-30 | https://docs.cloud.google.com/vertex-ai/generative-ai/docs/grounding/grounding-with-google-searchVertex AI Agent Engine pricing change (Sessions, Memory Bank, Code Execution billing begins Jan 28, 2026)Google’s Vertex AI release notes include a pricing change for Agent Engine that creates a concrete cost milestone. Starting January 28, 2026, Sessions, Memory Bank, and Code Execution will begin charging for usage, which impacts teams prototyping agentic workflows that rely on persistent memory and tool execution. This is the moment to shift pilots into a controlled cost model by separating test and production environments, adding usage alerts, and defining explicit retention and access rules for agent memory. Organizations that treat memory and code execution as premium capabilities, not defaults, will avoid runaway usage and keep unit economics predictable.Sources:* 2025-12-16 | https://docs.cloud.google.com/vertex-ai/docs/release-notesFedRAMP 20x Phase 2 Cohort 2 proposal window (Jan 5 to Jan 9, 2026)FedRAMP 20x Phase 2 continues, and the Cohort 2 proposal window runs from January 5 through January 9, 2026. For cloud vendors selling into government, this is a practical scheduling issue: evidence readiness, documentation quality, and staffing for continuous monitoring will determine whether participation is realistic. For agencies, it signals an effort to increase authorization throughput and reduce time-to-value for secure cloud capabilities. The smart move is to use the window to align internal resourcing, confirm boundary clarity, and make sure the security narrative is consistent across technical controls, documentation, and operational monitoring.Sources:* 2025-12-10 | https://www.fedramp.gov/blog/fedramp-20x-phase-2-is-here/AI Talent Act (H.R. 6573) aims to create AI talent teams inside federal agenciesA bill introduced in the House, H.R. 6573, signals continued federal focus on building internal AI capability rather than outsourcing the entire operating model. The proposal centers on establishing AI talent teams to help agencies recruit and retain AI skills and support agency adoption. For federal IT leaders, it is a reminder to formalize AI roles, define career paths, and reduce single points of failure in AI programs. For industry partners, it suggests future procurements will increasingly favor vendors that can enable internal capability and knowledge transfer, not just deliver tools.Sources:* 2025-12-10 | https://www.congress.gov/bill/119th-congress/house-bill/6573Microsoft Incident Response warns of “imposter for hire” remote worker fraud as an access vectorMicrosoft Incident Response published a case study describing how fake remote hires can become a direct path into enterprise environments. In this pattern, the attacker’s first step is ...
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