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Postman introduces Agent Mode to combine the ability of AI brokers into Postman’s core capabilities


At its annual improvement convention POST/CON, Postman introduced a number of new updates throughout its platforms to make it simpler to design, check, deploy, and monitor AI brokers and APIs. 

One of many principal bulletins is the introduction of Agent Mode, an AI agent that may work together with all of Postman’s core capabilities.

Particularly, it will probably create, arrange, and replace collections; create check instances; generate documentation; construct multi-step brokers to automate repeatable API duties; and setup monitoring and observability.

Abhinav Asthana, CEO and co-founder of Postman, instructed SD Instances that it’s type of like having an professional Postman person by your facet. 

All the things that the agent creates goes into Postman’s collaborative workspace, the place it may be utilized by any teammate. 

With expanded assist for the Mannequin Context Protocol (MCP), Postman customers may also now have the ability to flip APIs into callable agent instruments, generate MCP servers from collections, and check agent habits.

“We’ve got 100,000+ APIs on the Postman community. All of these can be found basically as MCP servers,” stated Rodric Rabbah, head of product at Postman. “In case your favourite API suppliers haven’t caught up but and constructed an MCP server, you don’t have to attend. You may go to Postman, click on just a few buttons.”

Moreover, the corporate has launched a community for MCP servers the place publishers can host instruments for brokers and have them be simply discoverable by builders. “We mainly took all of the distant MCP servers out there at present, verified them, and put them on the general public community as a result of everyone’s gonna want a verified place quickly. Individuals began with unverified MCP servers, and there’s a danger there that when you simply begin having your brokers be related to unverified MCP servers, it’s similar to distant injection,” Asthana stated. 

Past these updates associated to agentic AI, the corporate additionally introduced quite a few new capabilities throughout the Postman platform. 

One of many new capabilities is Postman Insights, which provides real-time observability for APIs and allows builders to maintain observe of utilization throughout endpoints and variations, detect failure patterns, and resolve points. 

In line with Asthana, this was constructed with a developer lens in thoughts. “We realized that builders spend plenty of time juggling between instruments, copy+pasting issues … You get system degree observability for APIs, however you additionally get a developer workflow that’s related to all the pieces you already do in Postman,” he stated. 

One other new function is Repro Mode, which permits builders to breed API failures utilizing real-world headers, payloads, and authentication tokens.

Moreover, new notebooks have been created that include documentation, tutorials, and reside API calls. Postman believes these will assist enhance developer onboarding processes. “One factor that we noticed is that when builders are within the early levels of exploring an API, they want rather more steerage, and notebooks are a approach to assist with that,” Asthana stated. 

In line with Asthana, typically, product groups need to spotlight a selected use case, and these notebooks permit them to do this. Anybody can publish a pocket book, and builders can entry revealed notebooks by Postman’s public community. “They will create these notebooks, share them, and simply use them to drive extra adoption.”

And at last, Postman has expanded its integrations with GitHub, Jira, Slack and Microsoft Groups. 

“Companions are desperate to combine with Postman and prospects need to have that flexibility, so the ecosystem once more reinforces our view that Postman is a central place for all issues API,” stated Asthana. “You’re related to code, you’re related to messaging, you’re related to infrastructure. We’ve got all these integrations out there so that you can simply work a lot quicker.”


Disclosure: The reporter’s journey to POST/CON, together with flights, resort, and meals, was coated by Postman. The reporter additionally obtained a bag of convention merchandise.

The Subsequent Wave of AI is Right here


Subsequent week we’re internet hosting Cisco Reside in San Diego. We’re bringing collectively greater than 20,000 Cisco clients to have a good time innovation and collaborate on shaping the long run. I’m extremely excited.

We’re introducing main improvements for everybody, whether or not you’re constructing the information facilities of the long run, mapping out the roadmap to your company networks, or hustling within the background to maintain all of it up, operating, and safe.

Clearly, the seismic pressure driving all the things proper now could be AI. A few of it’s possible you’ll be fatigued by the tempo of AI change and the frenzy so as to add AI to all the things you do. I utterly perceive. However, if something, I believe the facility and potential for AI to alter our world continues to be underestimated. We’re on the verge of the primary main inflection within the improvement of AI since all of us collectively had our “ChatGPT second” some two and half years in the past. 

Say Hey to Agentic AI 

Proper now, we’re transferring from a world the place clever chat bots assist us reply questions, draft emails, and create photos, to at least one the place for the primary time, clever, autonomous brokers will probably be able to automating total workflows in each business, from coding and debugging software program to fixing advanced issues that require interplay and coordination amongst a number of brokers.

That is really a profound shift that brings with it some new anxieties. It could be naive to assume that agentic AI gained’t dramatically change some jobs and industries. New expertise all the time does. However within the greater image, agentic AI will increase what all of us as people, groups, and organizations can do.

I believe it’s price exploring what this implies in sensible phrases. Medical doctors might assist extra folks, researchers might pursue extra new concepts, engineers might clear up extra issues, entrepreneurs might think about new enterprise concepts, and so forth.

On the similar time, agentic AI isn’t just about doing extra. AI brokers will produce authentic insights and assist us clear up issues that we would by no means have dreamed of fixing earlier than. On this sense, I believe agentic AI is the only most essential expertise leap of our lifetimes up to now.

Agentic AI at Cisco Reside

Right here’s how you must take into consideration Cisco: we’re constructing the vital infrastructure for the AI period. And the maturation of agentic AI is making our work much more essential and well timed.

Quickly, there will probably be billions of AI brokers working collectively harmoniously on our behalf, across the globe, and across the clock. All of us will probably be interacting with brokers, collaborating intently with them as a part of our work and on a regular basis lives. As cool as that sounds, from a technological perspective, this essentially alters lots of the architectural assumptions our business has remodeled the previous few many years. And it’s driving three main shifts out there.

––––– First, like generative AI, however to an infinitely larger diploma, agentic AI is community constrained.

Agentic AI requires multi-cloud, multi-model, multi-agent architectures because the norm. It places a premium on communication between brokers that will probably be operating inside and throughout knowledge facilities, and throughout actually each place we reside, work, and join with clients – all at unbelievable pace and scale. The calls for of agentic AI will solely get additional exacerbated with the appearance of bodily AI, together with robotics and humanoids.

Because of this, agentic AI merely gained’t work with out ultra-fast, low-latency, energy-efficient networks. Subsequent week we’ll unveil community innovation throughout our portfolio, from expertise for cloud hyperscalers, to the information heart, to world service suppliers, and the campus, department, and industrial networks of the long run.

Along with debuting smarter and sooner gadgets, we’ll introduce native AI instruments that can aid you design, construct, and handle your networks, making certain they’re extra resilient and simpler to run than ever earlier than.

––––– Second, security and safety would be the defining problem of agentic AI.

Each new agent is each an asset and a brand new safety threat. As such, agentic AI will pressure us to problem assumptions, comparable to how we validate identification and the way shortly we should reply to threats when one thing goes flawed.

The one scalable approach to take care of the complexity of agentic AI is to fuse safety into the community. Subsequent week we’ll share how we’re reimagining in the present day’s safety stack for a world the place there are vastly extra brokers and machines in our workforces than people, behaving in methods we are able to’t all the time predict. 

We’ll additionally dive into how we’re serving to you safeguard AI functions and brokers throughout the enterprise, shield AI fashions themselves, safe the vital infrastructure behind your personal enterprise, and equip your resource-strapped safety groups with cutting-edge AI instruments.

––––– Third, agentic AI calls for world scale, and Cisco uniquely operates at that magnitude.

We work with hyperscalers, governments, cloud suppliers, service suppliers, and enterprises around the globe. This unparalleled attain offers us the visibility, insights, and knowledge to drive innovation throughout all the AI ecosystem. We are going to help the emergence of extra sovereign knowledge facilities which have gotten significantly vital for governments, protection, healthcare, finance, and demanding infrastructure sectors.

It’s a possibility we have now been embracing in a giant method this 12 months, with the sheer quantity of bulletins we’ve lately made underscoring our function. You might have seen initiatives just like the Stargate UAE partnership, our expanded dedication to France with the event of a strategic AI hub, and groundbreaking collaborations to construct safe AI factories with NVIDIA.

That is just the start.
At Cisco Reside we’ll share extra about our work to domesticate an ecosystem that places our clients on the forefront of AI innovation.
  I can’t wait to see so a lot of you subsequent week in San Diego.
– Jeetu 

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Good Constructing Expertise transforms the Cisco Retailer


In at present’s retail panorama, sensible constructing know-how is important to the success of brick-and-mortar shops. Like most retailers, the Cisco Retailer has priorities to scale back vitality prices, improve safety, and create extra participating purchasing experiences for patrons — all in assist of the underside line. However we discovered ourselves questioning, how else may we enhance our bodily shops to maintain up with our on-line shops? 

One of the crucial vital benefits on-line shops have over bodily retail has all the time been sturdy analytics and buyer insights. E-commerce platforms can monitor each click on, view, and buy, creating detailed buyer journeys and habits patterns. Bodily shops, by comparability, have historically operated with restricted visibility into buyer interactions. Bridging this analytics hole grew to become a prime precedence for us on the Cisco Retailer. We wished to convey that very same degree of data-driven resolution making to our brick-and-mortar and bodily areas, and so started our mission to raise in-store analytics and buyer engagement. 

The Cisco Retailer: The place innovation meets retail

The Cisco Retailer is the official merchandiser for Cisco branded attire and equipment. We function each on-line and thru bodily retail areas, together with two everlasting areas and varied pop-up touring shops that seem at Cisco Reside and different trade occasions worldwide.

We recognized an thrilling alternative to rework our bodily retail areas by harnessing the mixed strengths of Cisco’s portfolio. This imaginative and prescient materialized because the Cisco Retailer Tech Lab – our modern retail showcase surroundings totally powered by Cisco and associate applied sciences. As we speak, the Cisco Retailer Tech Lab serves as a standard testing floor and buyer zero for Cisco product groups’ cutting-edge improvements. As buyer zero, we implement new options earlier than they attain prospects, testing and sharing useful insights that assist product groups refine their choices and improve the client expertise. 

 We’re constantly exploring integration potentialities throughout our know-how stack, creating seamless connections throughout our options. 

Pinpointing challenges and unlocking alternatives

To raise our in-store analytics and buyer engagement, we started by pinpointing the areas that wanted enchancment to drive our success and information our transformation. This course of revealed a variety of challenges and alternatives that grew to become the main target for our innovation:   

  • Bringing online-level analytics to bodily shops: We wished to copy the detailed analytics out there in e-commerce to our brick-and-mortar areas, significantly to trace and improve retailer visitor-to-purchase conversions. 
  • Buyer insights: We lacked demographic and behavioral information for in-store guests, making it tough to plan stock and optimize ground layouts. 
  • Vitality effectivity: We would have liked to decrease the utilization and prices related to our always-on vital units and programs. 
  • Safety enhancements: We required higher instruments to rapidly determine theft and the people concerned. 
  • Stock administration: Planning inventory ranges for our touring event-based shops was difficult attributable to various shopper demographics and fluctuating foot site visitors. 
  • Environmental controls: Higher insights into retailer consolation components had been important for buyer satisfaction. 

The know-how behind the transformation

To handle our challenges, we applied a unified, clever resolution powered by sensible constructing know-how. By integrating related units, sensors, and automation instruments, we created a system that delivers real-time information and allows seamless, data-driven decision-making. This complete method streamlined operations whereas elevating the in-store expertise for each prospects and workers. Right here’s a more in-depth take a look at the options that make up our sensible constructing know-how: 

  • Meraki Good Cameras: Offers buyer insights by analyzing customer demographics and habits. They improve safety and optimize operations like theft prevention and stock administration.  
  • Meraki Sensors: Displays vitality components like temperature and humidity to keep up retailer consolation, enhance vitality effectivity, and scale back prices by automating gadget schedules.  
  • Meraki Entry Factors: Delivers dependable and safe WiFi connectivity with seamless community efficiency, and leverages location analytics to assist vital programs, optimize operations, and improve buyer engagement. 
  • Cisco Areas: Leverages location-based intelligence to boost buyer experiences by personalised engagement, seamless WiFi entry, and focused promotions.  

What we realized alongside the best way

Integration wasn’t with out challenges. Within the very starting, community connectivity points and interference at occasions offered occasional obstacles. For instance, after we initially deployed the Meraki Good Button (MT30) automation to regulate the digital signage screens, it was at a journey retailer throughout an occasion. There was a excessive degree of interference within the conference middle that brought on a noticeable delay in executing the instructions, leading to an extended lag time.  We collaborated intently with the Meraki sensor group and collectively reworked the best way information was transmitted. By optimizing the communication course of, we had been capable of scale back the command execution time to below a millisecond – a exceptional enchancment. 

These challenges in the end strengthened our method that led to a breakthrough in bringing these disparate programs collectively to create a cohesive ecosystem of retail intelligence for tangible outcomes. 

 The outcomes and outcomes: Measurable transformation

We set out with a daring mission: to convey the ability of online-level analytics to our bodily shops. We’re excited to share that we’ve not solely achieved this milestone, however have additionally seen 40% year-over-year income progress. This breakthrough has unlocked transformative outcomes throughout our operations:

  • Enhanced buyer insights: Meraki Good Cameras, working with EveryAngle, now gathers demographic information together with age, gender, and sentiment. This enables us to determine retailer zone conversion charges and optimize layouts, contributing to improved visitor-to-purchase conversions and income. 
  • Strengthened safety and theft prevention: Our Meraki Good Cameras have revolutionized our method to loss prevention. Utilizing Meraki Good Search, we will now decide precisely when stock went lacking and determine these accountable — lowering investigation time and undetected losses.
  • Improved vitality effectivity: Utilizing Meraki Sensors for energy administration, we’ve lowered vitality consumption by a exceptional 66%, representing vital value financial savings by making certain units are solely lively throughout retailer hours.
  • Optimized stock administration: The mix of Meraki Good Cameras and Cogniac robotically counts stock and notifies workers of restocking wants, optimizing our stock processes.
  • Customized buyer engagement: Cisco Areas, powered with location-based intelligence, allows seamless connectivity to WiFi by branded captive portals. It enhances buyer engagement by delivering personalised experiences, corresponding to focused promotions based mostly on prospects’ presence in particular retailer areas. This helps drive larger engagement and increase gross sales conversions. 

What’s subsequent on the roadmap

Trying forward, we’re enthusiastic about a number of initiatives that may additional improve our sensible constructing know-how implementation.  

We’re exploring superior AI capabilities to additional personalize the purchasing expertise based mostly on particular person buyer preferences and behaviors. This contains dynamic digital signage that adjusts messaging based mostly on real-time demographic information from our Meraki Good Cameras. 

Moreover, we plan to broaden our use of environmental sensors to not solely monitor however proactively regulate retailer circumstances for vitality and price effectivity and optimum consolation. 

The transformation we’ve witnessed by our deployment of sensible constructing know-how has exceeded our expectations. What started as a sensible resolution to particular operational challenges has advanced right into a complete ecosystem that enhances each facet of our retail operation. 

Along with sensible constructing know-how, gaining observability throughout our surroundings has been vital to our operations. Splunk has been instrumental on this success, offering observability instruments that allow us to seamlessly monitor and take motion on various information for strategic resolution making. To study extra about our Splunk deployment, learn the weblog right here. 

 

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3 methods to streamline cloud adoption and cloud safety



In as we speak’s cloud-first world, pace and agility are the forex of innovation. Organizations are beneath strain to ship purposes sooner, extra securely, and throughout more and more distributed cloud environments. In consequence, your builders are being requested to ship code at a speedy tempo, typically on a weekly and even day by day foundation. On the similar time, your infrastructure and cloud safety groups wrestle to maintain up with the sprawling sources deployed throughout your multi-cloud and hybrid cloud environments.

Code velocity typically introduces complexity, safety danger, and operational overhead. Too many instruments. Too many silos. Too many guide steps. To DevSecOps, safety slows down code manufacturing, whereas code velocity dangers introducing new vulnerabilities. However you want each: safety and velocity. Your improvement groups want the liberty to innovate. And your safety operations (SecOps) groups want visibility and management. To satisfy each, organizations should undertake a shared platform that helps end-to-end visibility and integration throughout all the utility life cycle.

That’s why simplifying the journey for cloud-native purposes is crucial. Beneath are three key methods that will help you streamline improvement, cut back cloud danger, and embed cloud safety and DevSecOps finest practices into each section of your utility pipeline.

1. Unify safety throughout the cloud-native stack

The way in which we construct and run purposes has undergone a elementary change. Monoliths have been changed by containers, microservices, and serverless features—all loosely linked via APIs and deployed dynamically by way of steady integration/steady supply (CI/CD) pipelines. However every layer introduces new dangers, new assault surfaces, and new operational challenges.

Trying to mitigate these dangers with remoted safety instruments at every stage—one for container safety, one other for API safety, and a 3rd for runtime safety—results in fractured workflows and blind spots. And when your improvement cycles are measured in hours, not weeks, safety must preserve tempo with out slowing innovation.

That’s the place platform convergence issues. An efficient unified cloud-native utility safety platform (CNAPP) technique brings collectively beforehand siloed capabilities, equivalent to cloud workload safety, cloud infrastructure entitlement administration, and API safety, right into a single, built-in answer.

With full-stack visibility from code to cloud, groups can:

  • Detect and remediate vulnerabilities earlier than deployment
  • Monitor runtime exercise for suspicious conduct
  • Safe APIs and knowledge flows throughout companies
  • Apply constant safety coverage throughout multi-cloud environments

Fortinet’s method: Lacework FortiCNAPP, Fortinet’s cloud-native utility safety answer, a core part of our broader cloud safety platform and Fortinet Safety Material, delivers full life-cycle safety for contemporary purposes throughout construct, deployment, and runtime. By integrating Lacework FortiCNAPP instantly into your DevOps pipelines and main cloud platforms, your groups acquire real-time visibility and management, enabling them to maneuver sooner with out compromising safety.

2. Automate cloud safety posture administration (CSPM)

Cloud misconfigurations stay one of many main causes of safety breaches. As cloud infrastructure scales, guide configuration checks can’t sustain. Safety groups want steady visibility into useful resource settings, position permissions, community entry, and compliance standing.

That’s the place CSPM is available in. CSPM options monitor configurations throughout cloud belongings and implement finest practices routinely, in actual time. However not all CSPM instruments are created equal. The best ones do greater than floor alerts. They:

  • Prioritize danger primarily based on exploitability, severity, and publicity
  • Map misconfigurations to frequent compliance requirements like CIS Benchmarks, NIST, and PCI DSS
  • Auto-remediate low-risk points and information decision for higher-risk ones
  • Cut back noise and alert fatigue for SecOps groups

By automating posture administration, organizations cut back operational overhead and enhance cloud compliance whereas staying forward of threats in dynamic environments.

Fortinet’s method: Lacework FortiCNAPP built-in posture administration instruments are purpose-built for cloud safety groups working in quickly evolving environments. With contextual danger scoring and clever automation, it reduces friction, streamlines compliance, and helps implement a safe cloud basis.

3. Shift safety left within the DevSecOps workflow

DevSecOps has turn into a standard aim for high-performing improvement groups. However the shift left have to be executed fastidiously. Builders can’t be anticipated to turn into safety consultants in a single day—and safety instruments that interrupt the software program improvement life cycle typically get ignored or eliminated.

Profitable DevSecOps packages embed utility safety checks early within the pipeline, utilizing the instruments builders already depend on. And to be efficient, these integrations have to be light-weight, intuitive, and scalable. The very best implementations:

  • Combine into IDEs, Git repositories, and CI/CD instruments
  • Present rapid suggestions on vulnerabilities, misconfigurations, and license points
  • Ship Safety-as-Code templates and guardrails that encourage safe design from the beginning
  • Empower builders to take possession of safety with out slowing supply

When safety is an built-in a part of the event course of, points get resolved sooner, releases ship sooner, and safety posture improves.

Fortinet’s method: Lacework FortiCNAPP brings real-time safety and compliance suggestions instantly into your improvement pipeline. It additionally embeds steady safety and compliance checks early within the CI/CD pipeline, making certain vulnerabilities are recognized and remediated earlier than deployment. From static utility safety testing (SAST) to container picture scanning, Fortinet permits safety to maneuver on the pace of recent software program improvement.

Why cloud safety and simplification go hand in hand

Simplifying the cloud utility journey isn’t only a technical concern; it’s a strategic precedence. Each new software, guide handoff, or misconfiguration provides danger. And with out convergence, visibility, and automation, that danger can multiply quick.

Organizations that lead in cloud adoption and safe digital transformation are those which can be:

  • Breaking down the silos between improvement, safety, and operations
  • Embedding safety throughout the applying life cycle from code to cloud
  • Prioritizing automation, posture administration, and platform convergence
  • Utilizing unified safety platforms that cut back friction, not simply add options

At Fortinet, we imagine that safety ought to allow innovation, not impede it. By simplifying the way in which purposes are secured, managed, and monitored, organizations can speed up cloud adoption, cut back operational prices, and decrease danger—all via a single, built-in safety framework.

It’s how you retain up with the tempo of innovation with out leaving safety behind.

Uncover how Lacework FortiCNAPP can remodel your cloud safety technique.

Progess AI code assistants, Vertesia’s Semantic Doc Prep Service – SD Occasions Each day Digest


Progress Software program at present introduced new AI code assistants and different capabilities constructed into the Q2 2025 launch of Progress Telerik and Progress Kendo UI, .NET and JavaScript UI libraries for contemporary utility growth. This launch introduces AI Coding Assistants for Blazor and React, AI-driven theme era and GenAI-powered reporting insights, the corporate introduced.
The AI Coding Assistants can routinely generate code in Telerik UI for Blazor and KendoReact libraries inside many AI-powered IDEs, which reduces the time spent on handbook edits and shortens growth cycles. Additional, developerws could make pure language prompts into Progress ThemeBuilder to create customized kinds for Telerik and Kendo UI elements, the corporate wrote in its announcement. The releases additionally embody reporting summaries and insights powered by generative AI in Progress Telerik Reporting, in addition to a GenAI-powered PDF processing library, which the corporate mentioned can present “immediate doc insights, AI immediate choices within the Editor management and new AI constructing blocks and web page templates to hurry up UI growth.”

Vertesia Launches New Semantic Doc Preparation Service

 Vertesia, a low-code platform for growing customized generative AI purposes, at present introduced the launch of Semantic DocPrep service, a cloud-based API service designed to remove hallucinations and pace growth.

“The 2 considerations we hear most from enterprise leaders are constant: 95% accuracy isn’t ok, and knowledge preparation is a expensive, time-consuming problem,” mentioned Chris McLaughlin, chief income officer at Vertesia. “Our Semantic DocPrep service was constructed to resolve each – giving builders a set of APIs to automate doc preparation and considerably enhance the accuracy and relevancy of LLM outputs. It removes two main hurdles to constructing dependable, enterprise-grade GenAI purposes.”

The Semantic DocPrep service works by changing complicated paperwork, into semantically tagged XML – with out rewriting or altering the supply. In its announcement, the corporate wrote: “By preserving the unique construction, relationships, and context, Vertesia ensures that giant language fashions (LLMs) can precisely interpret paperwork with out fabricating or misrepresenting data – dramatically bettering the accuracy and reliability of mannequin outputs.”

Designed for builders constructing customized GenAI apps and Retrieval-Augmented Technology (RAG) methods, Semantic DocPrep matches into trendy AI pipelines, and was designed to help in creating GenAI purposes and RAG methods. In accordance with the corporate, “Builders ship paperwork—PDFs generated from Phrase, PowerPoint, or different codecs—by way of an API, and obtain structured XML output that’s prepared for chunking, indexing, and mannequin ingestion. No setup or mannequin coaching is required.”

Get began with a free trial or study extra by visiting: vertesiahq.com