#azure-pipeline

[erossiniuk]

Steps on how to create a working pipeline to release #SSIS packages using #Azure #DevOps from the creation of the artifact to the #deployment.

[jcmarchi]

Sentra Secures $50M Series B to Safeguard AI-Driven Enterprises in the Age of Shadow Data

New Post has been published on https://thedigitalinsider.com/sentra-secures-50m-series-b-to-safeguard-ai-driven-enterprises-in-the-age-of-shadow-data/

Sentra Secures $50M Series B to Safeguard AI-Driven Enterprises in the Age of Shadow Data

In a landmark moment for data security, Sentra, a trailblazer in cloud-native data protection, has raised $50 million in Series B funding, bringing its total funding to over $100 million. The round was led by Key1 Capital with continued support from top-tier investors like Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures.

This new investment arrives at a pivotal time, with AI adoption exploding across enterprises and bringing with it a tidal wave of sensitive data—and new security risks. Sentra, already experiencing 300% year-over-year growth and seeing fast adoption among Fortune 500 companies, is now doubling down on its mission: empowering organizations to innovate with AI without compromising on data security.

The AI Boom’s Dark Side: Unseen Risks in “Shadow Data”

While AI opens doors to unprecedented innovation, it also introduces a hidden threat—shadow data. As companies rush to harness the power of GenAI, data scientists and engineers frequently duplicate, move, and manipulate data across environments. Much of this activity flies under the radar of traditional security tools, leading to invisible data sprawl and growing compliance risks.

Gartner predicts that by 2025, GenAI will drive a 15% spike in data and application security spending, as organizations scramble to plug these emerging gaps. That’s where Sentra comes in.

What Makes Sentra Different?

Sentra’s Cloud-Native Data Security Platform (DSP) doesn’t just bolt security onto existing infrastructure. Instead, it’s designed from the ground up to autonomously discover, classify, and secure sensitive data—whether it lives in AWS, Azure, Google Cloud, SaaS apps, on-prem servers, or inside your AI pipeline.

At the heart of Sentra’s platform is an AI-powered classification engine that leverages large language models (LLMs). Unlike traditional data scanning tools that rely on fixed rules or predefined regex, Sentra’s LLMs understand the business context of data. That means they can identify sensitive information even in unstructured formats like documents, images, audio, or code repositories—with over 95% accuracy.

Importantly, no data ever leaves your environment. Sentra runs natively in your cloud or hybrid environment, maintaining full compliance with data residency requirements and avoiding any risk of exposure during the scanning process.

Beyond Classification: A Full Security Lifecycle

Sentra’s platform combines multiple layers of data security into one unified system:

DSPM (Data Security Posture Management) continuously assesses risks like misconfigured access controls, duplicated sensitive data, and misplaced files.

DDR (Data Detection & Response) flags suspicious activity in real-time—such as exfiltration attempts or ransomware encryption—empowering security teams to act before damage occurs.

DAG (Data Access Governance) maps user and application identities to data permissions and enforces least privilege access, a key principle in modern cybersecurity.

This approach transforms the once-static notion of data protection into a living, breathing security layer that scales with your business.

Led by a World-Class Cybersecurity Team

Sentra’s leadership team reads like a who’s who of Israeli cyber intelligence:

Asaf Kochan, President, is the former Commander of Unit 8200, Israel’s elite cyber intelligence unit.

Yoav Regev, CEO, led the Cyber Department within Unit 8200.

Ron Reiter, CTO, is a serial entrepreneur with deep technical expertise.

Yair Cohen, VP of Product, brings years of experience from Microsoft and Datadog.

Their shared vision: to reimagine data security for the cloud- and AI-first world.

And the market agrees. Sentra was recently named both a Leader and Fast Mover in the GigaOm Radar for Data Security Posture Management (DSPM), underscoring its growing influence in the security space.

Building a Safer Future for AI

The $50 million boost will allow Sentra to scale its operations, grow its expert team, and enhance its platform with new capabilities to secure GenAI workloads, AI assistants, and emerging data pipelines. These advancements will provide security teams with even greater visibility and control over sensitive data—across petabyte-scale estates and AI ecosystems.

“AI is only as secure as the data behind it,” said CEO Yoav Regev. “Every enterprise wants to harness AI—but without confidence in their data security, they’re stuck in a holding pattern. Sentra breaks that barrier, enabling fast, safe innovation.”

As AI adoption accelerates and regulatory scrutiny tightens, Sentra’s approach may very well become the blueprint for modern enterprise data protection. For businesses looking to embrace AI with confidence, Sentra offers something powerful: security that moves at the speed of innovation.

[rajaniesh]

Optimizing Azure Container App Deployments: Best Practices for Pipelines & Security

🚀 Just shared a new blog on boosting Azure Container App deployments! Dive into best practices for Continuous Deployment, choosing the right agents, and securely managing variables. Perfect for making updates smoother and safer!

In the fifth part of our series, we explored how Continuous Deployment (CD) pipelines and revisions bring efficiency to Azure Container Apps. From quicker feature rollouts to minimal downtime, CD ensures that you’re not just deploying updates but doing it confidently. Now, let’s take it a step further by optimizing deployments using Azure Pipelines. In this part, we’ll dive into the nuts and…

[newcodesociety]

[wyrmwinds]

It’s important to note that even though Foulques lives in standard Ava canon hes still very much like. A sidequest ARR NPC who is absolutely not qualified for the shit going on in the MSQ and it shows. He’s Ava’s trophy husband. No one recognizes who he is he wasn’t even an official scion. He’s just kind of along for the ride, it’s not like he has anywhere else to be at this point.

His essential role in the story is to be a tsukkomi.

[techdirectarchive]

How to connect GitHub and Build a CI/CD Pipeline with Vercel

Gone are the days when it became difficult to deploy your code for real-time changes. The continuous integration and continuous deployment process has put a stop to the previous archaic way of deployment. We now have several platforms that you can use on the bounce to achieve this task easily. One of these platforms is Vercel which can be used to deploy several applications fast. You do not need…

[qservicesinc]

Microsoft Azure DevOps

QServices provides expert Microsoft Azure DevOps services to streamline your development processes. From planning and coding to testing and deployment, our team ensures seamless integration and automation for your projects. Boost efficiency and collaboration with QServices Azure DevOps solutions.

[erossiniuk]

Here I explain how #releasing #Windows #Services using pipelines in #Azure #DevOps. It helps you achieve a CD/CI for your Windows Service project

[jcmarchi]

Datasets Matter: The Battle Between Open and Closed Generative AI is Not Only About Models Anymore

New Post has been published on https://thedigitalinsider.com/datasets-matter-the-battle-between-open-and-closed-generative-ai-is-not-only-about-models-anymore/

Datasets Matter: The Battle Between Open and Closed Generative AI is Not Only About Models Anymore

Two major open source datasets were released this week.

Created Using DALL-E

Next Week in The Sequence:

Edge 403: Our series about autonomous agents continues covering memory-based planning methods. The research behind the TravelPlanner benchmark for planning in LLMs and the impressive MemGPT framework for autonomous agents.

The Sequence Chat: A super cool interview with one of the engineers behind Azure OpenAI Service and Microsoft CoPilot.

Edge 404: We dive into Meta AI’s amazing research for predicting multiple tokens at the same time in LLMs.

You can subscribe to The Sequence below:

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: Datasets Matter: The Battle Between Open and Closed Generative AI is Not Only About Models Anymore

The battle between open and closed generative AI has been at the center of industry developments. From the very beginning, the focus has been on open vs. closed models, such as Mistral and Llama vs. GPT-4 and Claude. Less attention has been paid to other foundational aspects of the model lifecycle, such as the datasets used for training and fine-tuning. In fact, one of the limitations of the so-called open weight models is that they don’t disclose the training datasets and pipeline. What if we had high-quality open source datasets that rival those used to pretrain massive foundation models?

Open source datasets are one of the key aspects to unlocking innovation in generative AI. The costs required to build multi-trillion token datasets are completely prohibitive to most organizations. Leading AI labs, such as the Allen AI Institute, have been at the forefront of this idea, regularly open sourcing high-quality datasets such as the ones used for the Olmo model. Now it seems that they are getting some help.

This week, we saw two major efforts related to open source generative AI datasets. Hugging Face open-sourced FineWeb, a 44TB dataset of 15 trillion tokens derived from 96 CommonCrawl snapshots. Hugging Face also released FineWeb-Edu, a subset of FineWeb focused on educational value. But Hugging Face was not the only company actively releasing open source datasets. Complementing the FineWeb release, AI startup Zyphra released Zyda, a 1.3 trillion token dataset for language modeling. The construction of Zyda seems to have focused on a very meticulous filtering and deduplication process and shows remarkable performance compared to other datasets such as Dolma or RedefinedWeb.

High-quality open source datasets are paramount to enabling innovation in open generative models. Researchers using these datasets can now focus on pretraining pipelines and optimizations, while teams using those models for fine-tuning or inference can have a clearer way to explain outputs based on the composition of the dataset. The battle between open and closed generative AI is not just about models anymore.

🔎 ML Research

Extracting Concepts from GPT-4

OpenAI published a paper proposing an interpretability technique to understanding neural activity within LLMs. Specifically, the method uses k-sparse autoencoders to control sparsity which leads to more interpretable models —> Read more.

Transformer are SSMs

Researchers from Princeton University and Carnegie Mellon University published a paper outlining theoretical connections between transformers and SSMs. The paper also proposes a framework called state space duality and a new architecture called Mamba-2 which improves the performance over its predecessors by 2-8x —> Read more.

Believe or Not Believe LLMs

Google DeepMind published a paper proposing a technique to quantify uncertainty in LLM responses. The paper explores different sources of uncertainty such as lack of knowledge and randomness in order to quantify the reliability of an LLM output —> Read more.

CodecLM

Google Research published a paper introducing CodecLM, a framework for using synthetic data for LLM alignment in downstream tasks. CodecLM leverages LLMs like Gemini to encode seed intrstructions into the metadata and then decodes it into synthetic intstructions —> Read more.

TinyAgent

Researchers from UC Berkeley published a detailed blog post about TinyAgent, a function calling tuning method for small language models. TinyAgent aims to enable function calling LLMs that can run on mobile or IoT devices —> Read more.

Parrot

Researchers from Shanghai Jiao Tong University and Microsoft Research published a paper introducing Parrot, a framework for correlating multiple LLM requests. Parrot uses the concept of a Semantic Variable to annotate input/output variables in LLMs to enable the creation of a data pipeline with LLMs —> Read more.

🤖 Cool AI Tech Releases

FineWeb

HuggingFace open sourced FineWeb, a 15 trillion token dataset for LLM training —> Read more.

Stable Audion Open

Stability AI open source Stable Audio Open, its new generative audio model —> Read more.

Mistral Fine-Tune

Mistral open sourced mistral-finetune SDK and services for fine-tuning models programmatically —> Read more.

Zyda

Zyphra Technologies open sourced Zyda, a 1.3 trillion token dataset that powers the version of its Zamba models —> Read more.

🛠 Real World AI

Salesforce discusses their use of Amazon SageMaker in their Einstein platform —> Read more.

📡AI Radar

Cisco announced a $1B AI investment fund with some major positions in companies like Cohere, Mistral and Scale AI.

Cloudera acquired AI startup Verta.

Databricks acquired data management company Tabular.

Tektonic, raised $10 million to build generative agents for business operations —> Read more.

AI task management startup Hoop raised $5 million.

Galileo announced Luna, a family of evaluation foundation models.

Browserbase raised $6.5 million for its LLM browser-based automation platform.

AI artwork platform Exactly.ai raised $4.3 million.

Sirion acquired AI document management platform Eigen Technologies.

Asana added AI teammates to complement task management capabilities.

Eyebot raised $6 million for its AI-powered vision exams.

AI code base platform Greptile raised a $4 million seed round.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

[pentestguy]

Setup Mobsfscan in Azure DevOps

Hello everyone! Welcome to pentestguy. In this article we are going to focus on how to setup mobsfscan in azure devops. What does it mean? As we know MobSF is one of the most popular tool use for android app pentesting. and MobSF have a child tool named as mobsfscan which is a static analysis tool that help to find the insecure code patterns in Android and iOS source code. Here we are going to…

[needienerdynoodle]

How to publish a multi-page Azure DevOps Wiki to PDF (and pipeline it)

Although you can print a single page of your wiki to a PDF using the browser, it’s problematic when you have a more complex structured multi-page wiki and you need to distribute or archive it as a single file. Fortunately thanks to the great initiative by Max Melcher and his AzureDevOps.WikiPDFExport tool, combined with Richard Fennell’s WIKI PDF Export Tasks, we can not only produce pretty good…

[techdirectarchive]

How to Create Self-Hosted Agent for Azure DevOps Pipelines

[ohimsummer]

i need satoru's dick inside me NEOW i'm so srs rn, i'm going to combust

— minors dni, subby! satoru x afab! + cockhungry! reader 😼, established rs

it’s rare that satoru takes commands from you without a little teasing first. he can’t really help it, you just look so cute trying to be all bossy.

“take your pants off.”, you ask, no demand. he looks up at you from the couch with his signature sly grin, but he can’t even get a word out before you’re speaking again. “now.”

and woah, that tone is…doing something to him. he doesn’t know what it is about the assertiveness in your voice, or the urgent look in your eyes paired with what you just said, but it’s enough to cause a stirring in his pants and a tingle at his fingertips.

satoru tries to laugh it off, poke fun at you again, but you can tell he’s nervous, excited. “wow, eager today, aren’t we baby?”

“faster.”, you reply, and he’s got his pants off in seconds. “good boy.”

oh, that, now that’s enough to put an obvious tent in his boxers. he can’t really help it. any praise from you goes through a pipeline straight from your mouth to his dick.

satoru grabs hold of your hips the minute you climb onto his lap. you raise up the oversized shirt (his) clinging to your skin, grabbing it in your teeth to reveal a good view of you already bare underneath. he can feel the pool of saliva forming on his tongue, and satoru swallows down a gulp before he’s blatantly drooling at the sight of you.

your slick pussy meets his hardened cock, gliding along his length and you both let out a moan. satoru gives your hips a squeeze, guiding you along his length as he sinks back into the plush safety of the couch. his mouth falls open, jaw going slack as he darts a tongue over pretty, pink lips. his breathing has quickened into needy pants and sharp gasps, broken moans falling free as you wet his cock with your sweet juices. satoru looks downright breathtaking—if you weren’t desperate to have him balls-deep in you before, you definitely are now.

you halt your movements. white lashes flutter, lids open and you are met with satoru’s azure gaze, knowing that a complaint is on the tip of his tongue. he is cut off by a light squeeze around his length, and satoru digs his fingers into your waist as you give him a few pumps, thoroughly soaking him in pre and slick.

“i want you to lay back and relax, baby.”, you murmur against his cheek, pressing a kiss there as you line him up with your entrance. “you just let me do all the work.”

satoru only gives a short hum, leaning into your affection. his own hips grow eager, bucking up against you to sink his tip into your needy hole. “what’s the occasion, angel? not that i’m complaining, but any reason you’re treating me extra extra good today?”

you giggle. it puts a feeling in his gut. the good kind, like when you tug his pants down after dragging him into a public bathroom stall.

“i plan on spending the next few hours bouncing on this dick. and i can’t have you tapping out too soon, so i’m gonna need you to save allllll your energy, ‘kay?”

🩵: @anthoosies @staryukis @lxnarphase @kisstoru @teddybeartoji @deepenthevoid @bubblez-blop @luvvmae @risuola @bunnymacaron @hellkaiserinphoenix @cinnamoneve @satoruxsc @rosso-seta @angelina7890 @starlightanyaaa @domainexpansionmypants @neptuneblue @biscuitsngravie @babytoshiii @kissesfrombelle @v0ctin @purplegemadventures @luvvforliaa @apatauaia @sataraxia @leilalilox @sugu-love @manyno @the-monster-under-the-bed @blindbabycadder