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The Sprinklr-Bluesky Integration in Detail I Sprinklr | Sprinklr

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Social media apps are a dime a dozen, so when a platform like Bluesky that describes itself as “an open, interconnected social network that respects user choice” comes into being, you naturally tend to sit up and take notice. And its growing user base — 35+ billion users — is early-adopter savvy, privacy-conscious and fiercely supportive of this disruptive social network.

Why should marketing leaders (and practitioners) care?

Bluesky provides users unprecedented control over their social media experience — a model that fosters passionate communities with shared interests. As Jim Tomanchek, Sprinklr’s VP of Partner Strategy and Development, explains, today’s consumers are increasingly aligning themselves with social platforms and conversations that reflect their passions. For brands, this means success hinges on understanding the context of these customer communities and showing up in meaningful ways. Those that deliver real value in these spaces are the ones that will earn engagement — and loyalty — from highly invested audiences.

If you’re steepling your fingers in anticipation, take a moment and think: how do you manage, optimize and scale your marketing efforts efficiently on a social media app that’s still growing and evolving? If you’re a Sprinklr customer (or considering Sprinklr as your social management platform), you can heave a sigh of relief because we’ve got you.

The recently announced integration with Bluesky isn’t just about access — it’s about early advantage.

In this blog, we’re going to give you a quick glimpse of how the Sprinklr-Bluesky integration equips social teams to stay ahead of the curve and what strategic opportunities this unlocks as Bluesky potentially dethrones X in the coming months.

RELATED READ: Bluesky Marketing: Strategies, Opportunities and Limitations

Main features of the Sprinklr-Bluesky integration

Announced as part of our Winter 2025 Release, Sprinklr customers can now leverage the platform to efficiently manage their Bluesky presence, ensuring timely and consistent engagement with their audience.

“The rapid growth and engagement levels on Bluesky are impressive, and our customers have looked to Sprinklr to help them seamlessly integrate this platform into their global strategies. We are excited to empower enterprise brands with the ability to engage meaningfully and gain valuable insights from this growing community,” said Sprinklr SVP, Global Alliances & Partners, Jim Nairn.

Did You Know?

Bluesky has an in-house moderation team that provides around-the-clock coverage to uphold its community guidelines. It has also committed to building “an ecosystem of moderation and open-source safety tools that gives communities power to create their own spaces, with their own norms and preferences.” In 2024, it announced Ozone, an open-source moderation tool, that lets users create their own moderation services.

With this new API integration, Sprinklr offers customers the ability to:

  • Create, manage and publish content to Bluesky through Sprinklr
  • Include Bluesky data in social listening dashboards and research
  • Track Broader analytics and insights to inform business strategy

And here’s a list of functions you can perform on Sprinklr:

All the actions you’d typically perform natively are now fully supported within Sprinklr. Let’s take a walk through some of these capabilities.

Publishing a post on Bluesky using Sprinklr

Below are the steps to access BlueSky on Sprinklr Quick Publisher:

1. Go to Launch Pad > Sprinklr Social > Quick Publish (Under Publish in Engage).

2. Go to Create Post and fill in the details:

a. Go to Select Account and select the BlueSky account.

b. Go to Message and type post message.

i. Click Insert to add:

- Custom Link: To add custom links

- Content Placeholder: Add Content placeholder

- YouTube: Add YouTube video

- Link: Add link

- Text Template: Add text template

ii. Click Sprinklr AI+ to create and refine the content.

- Generate Product Description: Helps to get the description of the product

- Generate Content Variations: Helps to get variety of content

- Generate Hashtags: Helps to generate content for hashtags

iii. Click Emoji Picker to add emojis to the content.

c. Click Generate Web Analytics Links.

d. Click Photos.

i. Click Select Photo to select images from DAM, URL, UGC, Template, Adobe; you can even

generate images through AI.

ii. Click Upload Photos to upload from your device. Add Alt text for each image.

e. Click + Add Another Photo to add another image.

f. Click Campaign to select a campaign.

i. Check Set as Default to select campaign as default.

g. Click URL Shortener to add URL shortener.

h. Select Tags to add tags.

i. Select Custom Fields under Show Properties to select Custom Fields.

j. Select Approval Type.

i. Not required: Select if approval is not needed

ii. Required by Account Owner: Select if approval is needed by account owner

iii. Follows an approval path: Select if approval path is added

k. Go to Approval Note to add approval note for the approver.

i. Click Add Attachment to add media file.

l. Click Schedule Post to schedule it for a different time.

i. Date: Select date

ii. Time: Select time

iii. Time Zone: Select time zone

iv. Repeat Post: Select the frequency in which you would want the post to be repeated. You can select

Does Not Repeat, Repeat Daily for a week, Repeat Weekly for a month, Repeat Fortnightly for a month,

Repeat Monthly for an year and Custom Repetition.

v. Check Notify me everywhere 30 mins before for notification.

vi. Select Smart Schedule for the AI to suggest best day and time for maximum engagement.

m. Check Publish Another to publish another post.

n. Select Schedule (in case the post is scheduled for a later time) or Post (to post it immediately).

Note: You can preview the post in the right pane before publishing it.

Accessing Bluesky feeds on Sprinklr

Here’s how you can create a Bluesky feed column in Sprinklr’s Engagement Dashboard:

1. Open a new tab and navigate to Sprinklr Social > Engagement Dashboards.

2. Click on the desired dashboard that contains Bluesky content in the Engagement Dashboards screen. For more details on creating an engagement dashboard for Bluesky content, refer to Create an Engagement Column in Bluesky.

3. Click +Add Column in the top right corner of the engagement dashboard.

4. In the Add New Column screen, search for and select Bluesky.

5. From the left menu in the Add New Bluesky Column screen, select Feeds.

6. Enter a name for your column in the Name field.

7. Click on the Account field and select the desired account.

8. Click on the Bluesky Feed field and select the required brand feed. Once selected, a column preview will appear on the right.

9. Click Create Column in the bottom right corner to save and add the feed column to your dashboard. Your Feeds column will be displayed in the dashboard as shown in the image below.

Note: The filter and sorting options will not be functional in the Feed columns.

Receiving and replying to direct messages on Bluesky within Sprinklr

Here are the step-by-step instructions on how to send Bluesky direct messages:

1. Click the New Tab icon on the Sprinklr platform. Under the Sprinklr Social tab, click Engagement Dashboards within Engage.

2. Click Add Column in the top right corner of the desired Engagement dashboard.

3. In the Add New Column window, search and select Bluesky as a source for adding a new column.

4. In the Add New Bluesky Column window, go to the Direct Messages tab.

5. On this new Direct Messages window, enter/select the necessary details. Next, click Create Column in the bottom right corner to create the private messages/direct messages (DMs) column in your current dashboard.

6. Your new engagement column with Received DMs will be created.

7. Select a DM to reply to and click the Reply button.

8. Upon clicking Reply, the Reply Box will open up, and you will be able to select Direct Message in the dropdown for eligible fan profiles.

9. You will be able to add text and emojis up to 1000 characters.

Note: You can’t reply to a fan if you don’t follow them, they have disabled DMs or you've been blocked by them. In such cases, a disclaimer will appear on the screen stating the exact reason.

Wondering about the risks of using Bluesky, and how your brand can mitigate them? Let us assure you: Sprinklr is built to help enterprise brands engage and market across social media channels, all from a single, unified platform with enterprise-grade governance. Plus, streamlined and consistent workflows with clear approval processes minimize business risk across all social accounts and throughout the advertising publishing cycle.

In case you aren’t a Sprinklr customer yet, sign up for a personalized demo to experience everything Sprinklr has to offer and more!

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An anonymous reader shares a report: Hugging Face, a company with a multi-billion dollar valuation and one of the most commonly used platforms for sharing AI tools and resources, is hosting over 5,000 AI image generation models that are designed to recreate the likeness of real people. These models were all previously hosted on Civitai, an AI model sharing platform 404 Media reporting has shown was used for creating nonconsensual pornography, until Civitai banned them due to pressure from payment processors. Users downloaded the models from Civitai and reuploaded them to Hugging Face as part of a concerted community effort to archive the models after Civitai announced in May it will ban them. In that announcement, Civitai said it will give the people who originally uploaded them "a short period of time" before they were removed. Civitai users began organizing an archiving effort on Discord earlier in May after Civitai indicated it had to make content policy changes due to pressure from payment processors, and the effort kicked into high gear when Civitai announced the new "real people" model policy.

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Generative AI Creates APIs Faster Than Teams Can Secure Them

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APIs are great for growth, allowing teams to build and ship features at a remarkable pace. Your business most likely thrives on APIs. They are bridges connecting your services, and the very language your applications use to deliver unique value to customers. But this velocity often comes with a hidden and tangled shadow — a growing complexity that quietly undermines the very innovation it was meant to support.

For years, the conversation around this complexity, or API sprawl, felt contained within engineering teams. It was often discussed as a form of technical debt—a messy backend that, while annoying, primarily just slowed down development. But that perspective is now dangerously outdated, according to Akash Agrawal, VP of DevOps & DevSecOps at LambdaTest, an AI-native software testing platform. “In today’s landscape,” he explains, “where digital supply chains are built entirely on APIs, unmanaged sprawl is a direct and significant business risk. Each unknown or unsecured API is a potential vector for a major breach, impacting everything from regulatory compliance to customer trust.”

This shift from a contained issue to a core business threat is being supercharged by the frantic pace of modern development. As organizations run an arms race to innovate, they are creating APIs at a rate that manual governance simply cannot handle. And recent AI breakthroughs — especially in automated code and API generation — are increasingly accelerating this proliferation. But combined with poor visibility and a lack of control across environments, this leaves companies exposed to critical security failures while simultaneously undermining their ability to move forward effectively.

How Generative AI Accelerates API Creation Beyond Security Controls

This widespread risk often begins with two well-understood but frequently overlooked vulnerabilities. The first are shadow APIs — undocumented endpoints operating completely off the radar, often created for a temporary purpose and then forgotten. The second are zombie APIs, which are older versions that were meant to be retired but were never fully decommissioned. Both represent open invitations for attackers, but their numbers remained somewhat manageable through traditional, if imperfect, human oversight.

That dynamic has now been completely upended. “Generative AI is the primary force amplifying this long-standing issue. It’s empowering teams to build and deploy faster than ever, which is fantastic for innovation, but it’s also creating APIs at a rate that manual governance simply cannot handle,” says Agrawal, highlighting: “The result is an explosion of shadow APIs created for a specific AI-driven purpose that are never properly documented, secured, or retired.” This reinforces the old security truth — what you can’t see, you can’t secure — and AI is rapidly expanding a landscape that’s already difficult to monitor.

This acceleration has given rise to a risky new developer behavior — a trend known as “vibe coding.” Edgar Kussberg, Product Manager at Sonar’s AI division, points out that developers increasingly trust AI-generated code that simply feels right, without performing the necessary due diligence. Because of vibe coding, APIs are frequently deployed without crucial security controls or proper documentation, creating a new wave of widespread vulnerabilities at an unprecedented scale.

The Productivity Cost of Unmanaged API Sprawl

The most immediate consequence of API sprawl is a drastic blow to developer productivity. Yauheni Kanavalik, a Solution Architect at EPAM Systems, explains that this often leads teams into what’s commonly known as “dependency hell” — a state in which development teams shift their focus away from the user and their needs, instead becoming overloaded just trying to navigate the tangled web of integrations. This is a state of paralysis that directly impacts the bottom line.

Kanavalik points to “investigation time” as the key hidden metric — where weeks can pass before a new feature is even ready for development. A developer might need to confirm if a similar function already exists, sketch out a sequence of API calls, and then try to contact the owners of those services across multiple time zones and support channels. This initial discovery phase, rather than the coding itself, becomes the biggest bottleneck to delivering value.

This drag on productivity can directly sabotage strategic business initiatives, says Asad Akram, Senior Engineering Manager at Sigma. “Our business intelligence team experienced this firsthand when they built an AI assistant to help users generate API calls from natural language. But the AI frequently gave incorrect suggestions, recommending an API that looked right but failed to deliver the expected result — leading to frustrated users. The root cause was API sprawl; the AI was trying to navigate twelve different but similar APIs tied to the same functional goal.”

This kind of friction has a cumulative effect that business leaders cannot afford to ignore. Madhu Kochar, VP of Automation at IBM, points out that this “API explosion” ultimately leads to increased maintenance and operational costs, reduced developer productivity, and heightened security and compliance risks that directly hinder an organization’s digital transformation initiatives.

Implementing Continuous Governance for AI-Generated APIs

While the picture of API sprawl seems daunting, organizations can regain control through a multilayered approach that addresses people, process, and technology. It begins not with a new tool, but with a new approach to ownership and expertise.

One of the most effective organizational fixes is the creation of what Kanavalik of EPAM Systems calls a “facade team.” This is a specialized, central team that serves as a single point of entry and ownership for all API integrations. Instead of every developer struggling with the same third-party dependencies, the facade team manages those relationships, standardizes documentation, and provides expert guidance — freeing other teams to focus on building value.

With a clear ownership structure in place, teams can then move on to the tactical work of cleanup and automation. The Sigma team, for example, directly addressed their AI assistant’s failures by consolidating twelve redundant APIs into just three flexible endpoints. This cleanup immediately improved clarity for both their human developers and their AI systems. And the EPAM team suggests using Large Language Models to automatically generate high-quality API documentation directly from the source code of poorly understood services.

But these tactical fixes must be part of a larger, future-proof strategy. Kussberg of Sonar argues that traditional governance frameworks are “playing catch-up” and are simply not built for an era where AI can autogenerate code. The solution, he advocates, is to implement “CI/CD + CG (Continuous Governance).” This means embedding automated security, versioning, and governance checks directly into the development lifecycle, ensuring that every API — whether human- or AI-generated — is safe and managed from the moment of its creation.

Building Facade Teams and Automated Controls for API Security

It’s clear that the conversation about API sprawl has fundamentally changed because of AI advancements. The tangled web of unknown, unmanaged, and forgotten APIs is no longer a background issue of technical debt that can be pushed to the next quarter. It is an active and growing business risk that directly impacts security, complicates compliance, and paralyzes the very development teams tasked with innovation.

“The path to reclaiming control hinges on a strategic commitment to visibility, ownership, and embedding proactive security throughout the entire API lifecycle,” says Agrawal. Speaking from his engineering experience at LambdaTest and leading the security efforts for Kane AI, a GenAI-native testing agent for high-speed quality engineering, he emphasizes the importance of aligning security and velocity from the start. By moving from a state of firefighting to a forward-looking strategy of “Continuous Governance,” organizations can begin to transform their API landscapes. They can shift them from hidden liabilities into the secure, strategic assets that are absolutely essential for building a trustworthy and innovative AI future.

The post Generative AI Creates APIs Faster Than Teams Can Secure Them appeared first on The New Stack.

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