#ATO

:rss: HuffPost Japan - Athena2huffingtonpost@rss-mstdn.studiofreesia.com
2026-03-12

映画『ウィキッド』のダンボール影アートが圧巻。動かすとロゴ⇨2人の魔女に変身、「不思議すぎ」と反響
huffingtonpost.jp/entry/story_

#huffingtonpost #アートとカルチャー #アート #ウィキッド #ato #wikiddo

2026-03-06
Maria Catarina Esmeraldinacommunism_isbased@pixelfed.social
2026-02-21
🇧🇷 O pixelfed de vocês também ficou um mês bugado? Fotos da Marsha Trans Nacional 2026. No dia que os eletric boys do Nicolas estavam chegando em Brasília, Erika Hilton até fez troça do palco, mas só fui entender ao que se referia quando cheguei em casa e fui ler as notícias.
🇬🇧 Did your pixelfed also bugged for a month or so? Pics from the national trans march in Brasília. On this same day, people marching in support of the Jan 8th coup attempt plotters were electrocuted by a thunderstorm lol
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#trans #marshatrans #transgenero #transgender #brasília #marcha #march #ato #rally #gothic #alternativa #alternative #gotico #goth #gotica #gothicgirl #gothgirl #casual
Aerobuzz / JumpSeataerobuzz@piaille.fr
2026-02-09

C’est à l’occasion de la Cirrus Customer Experience Conference (CX 2026) à Las Vegas, fin janvier 2026, qu’Alexandre Zaïnal s’est vu nommée par le constructeur américain, Cirrus Standardized Instructor Pilot of the Year. A travers sa directrice, c’est le travail effectué par l’école française Orbifly aux services des propriétaires de Cirrus qui est mis en lumière. #CirrusAircraft #Orbifly #ATO

aerobuzz.fr/breves-aviation-ge

2026-02-05

The door to DoD contracts is open, but the price of admission is transparency. 🚪🔐

Automated, data-driven transparency is now the baseline. If you don't have the artifacts, you don't get the invite.

Read the full analysis by @jonoberg: anchore.com/blog/dod-swft-init

#DoD #SWFT #ATO

2026-02-02

Don't fall for the CMMC trap. 🚫

Securing your office network (CMMC) won't save you if your product fails SWFT validation. You need both to win the contract.

@jonoberg clarifies the critical difference in our latest blog.

anchore.com/blog/dod-swft-init

#DoD #SWFT #ATO

2026-01-31

Still relying on Excel spreadsheets for compliance? That era just ended. 📉

The DoD has moved the goalposts from static checklists to continuous, automated security evidence.

@jonoberg breaks down the new operational necessity of SWFT.

anchore.com/blog/dod-swft-init

#DoD #SWFT #ATO

2026-01-28

2 weeks or 18 months? ⏱️

The choice between the new SWFT initiative and legacy RMF isn't just about speed—it's about staying eligible for FY26 awards.

@jonoberg explains why the SWFT is the only path forward for modern software vendors.

anchore.com/blog/dod-swft-init

#DoD #SWFT #ATO

Civic Innovationscivic.io@civic.io
2026-01-19

AI-Powered Automation: Taking ATO Modernization Beyond the Bottleneck

A recent article in U.S. Cybersecurity Magazine, “The ATO Bottleneck: Rethinking Responsibility and Enabling Automation,” makes a compelling case for transforming the federal Authority to Operate (ATO) process. The authors argue that the current manual, documentation-heavy approach—which can take months or even years—must evolve into an automated, continuous compliance model. Their vision: cut ATO cycles by 40-60% through Secure-by-Design principles, DevSecOps integration, and real-time evidence generation.

The Case for Automation

The article identifies several critical problems with traditional ATO processes:

  • Static documentation that becomes outdated as systems evolve
  • Manual evidence gathering that consumes months of effort
  • Reactive compliance where security is retrofitted rather than built-in
  • Knowledge silos that bottleneck approvals with specialized expertise

Their solution emphasizes automation tools that integrate with DevSecOps pipelines, continuous monitoring platforms that generate live compliance dashboards, and Secure-by-Design practices that embed security controls directly into infrastructure code from day one. The goal: transform ATO from a bureaucratic gate into a dynamic trust mechanism.

AI Takes It Further

While the article champions automation for validating and collecting evidence, AI-powered approaches like the ATLAS ATO Accelerator extend this vision by also automating compliant code generation. Here’s how AI enhances the automation framework:

Knowledge Democratization: The article emphasizes training programs to teach developers RMF and DevSecOps principles. The ATLAS approach encodes this expert knowledge into AI agent instruction files, making compliance guidance accessible at the moment of code creation—no deep NIST expertise required.

Generative Compliance: Rather than just scanning existing code for violations, the ATLAS approach uses AI to generate infrastructure that’s compliant from the start. The approach focuses on generating Infrastructure as Code artifacts with compliance controls built in, and clearly document, significantly reducing the time required to gather and document artifacts when the time comes.

Adaptive Guidance: As requirements evolve—new NIST revisions, emerging threats, updated frameworks—AI agent instructions (which are art the heart of the ATLAS approach) can be updated once and propagate consistently across all projects, addressing the article’s concern about “shifting interpretations” and “changing requirements.”

From Automation to Intelligence

The authors are right to point out that automation tools can “cut ATO cycles by an estimated 40-60% range.” AI-guided generation has the potential to push this further by preventing compliance gaps before they occur. When security controls, proper documentation patterns, and ATO readiness are embedded into the IaC generation process itself, teams spend less time on rework and more time on innovation.

The article’s vision of continuous ATO, living documentation, and Secure-by-Design is the right direction. AI-powered tools like those documented in the ATLAS approach demonstrate how to operationalize that vision—not just automating the compliance process, but making secure, ATO-ready infrastructure the natural default output of modern development workflows.

Read the full article: The ATO Bottleneck: Rethinking Responsibility and Enabling Automation

#AI #ATO #ChatGPT #government #llm

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