Kitecyber delivers unified, endpoint-native security for the AI era, protecting devices, sensitive data, SaaS applications, GenAI tools, AI agents, and private application access through one lightweight agent. By combining real-time visibility, contextual risk assessment, and immediate policy enforcement, Kitecyber helps organizations prevent data leaks, consolidate security tools, and support AI adoption without slowing productivity. In this episode, we speak with Ajay Gulati, co-founder and CEO of Kitecyber, about how AI agents and distributed work are reshaping cybersecurity. Gulati explains that the traditional security perimeter is breaking down as employees work across laptops, SaaS applications, cloud services, and generative AI tools. With AI agents increasingly accessing, transforming, and moving sensitive data at machine speed, companies need visibility into not only what human employees are doing, but also what autonomous agents are doing on their behalf. The conversation explores why the endpoint is becoming the most important place to protect data. Gulati argues that a device-level perspective can connect information about device posture, files, processes, users, agents, and network activity in real time. This allows companies to move from investigating leaks after they happen to preventing risky actions as they occur, such as an employee or AI agent copying sensitive information into an unapproved tool or uploading it to an unauthorized service. The episode also examines why traditional data loss prevention tools often frustrate employees with excessive alerts and false positives. Gulati explains how context-aware, LLM-based classification can better distinguish genuinely sensitive information from harmless patterns, while continuous coaching can guide employees at the moment a risky action occurs. He emphasizes that security should work with employees rather than slow them down, because overly restrictive tools often encourage people to find ways around them. Finally, the discussion looks ahead to the rise of agentic AI, prompt injection attacks, and hidden instructions embedded in documents that can manipulate autonomous systems. Gulati’s broader message is that companies should not assume that adding more disconnected security tools will automatically improve protection. Instead, they need a unified source of context that can monitor human and AI activity together, identify threats in real time, and secure the rapidly expanding non-human workforce.

Careerminds helps organizations turn workforce change into opportunity through career transition, leadership development, executive coaching, and AI-powered career frameworks. Combining human expertise, real-time analytics, and global reach across 100+ countries, Careerminds delivers compassionate, cost-effective solutions that help employees grow, transition, and thrive. In this episode, we speak with Raymond Lee, founder and president of @Careerminds, about how artificial intelligence is reshaping jobs, layoffs, and career transitions. Lee explains that while 57% of HR leaders expect layoffs in the coming year, many employees feel confident because AI is helping them work more effectively. The deeper issue, however, is the shift from job security to skill security: workers need to understand which skills will remain valuable and which ones they must develop over the next 12 to 18 months. The conversation also explores how companies should handle layoffs with more empathy and transparency. Lee argues that thoughtful communication, one-on-one conversations, and meaningful career transition support can protect employee dignity, company culture, and the employer brand. Careerminds helps people navigate that process through dedicated coaching, resume and LinkedIn support, personalized job-search plans, and guidance around reskilling, career changes, and reinvention. The episode also looks at how employers can use transferable skills and workforce intelligence to redeploy strong employees instead of laying them off and later rehiring for similar roles. Lee’s broader message is that both individuals and companies need to become more proactive: workers should continually build future-ready skills, while employers should use better workforce data to support development, redeployment, and more humane transitions.

ManageEngine Key Manager Plus is an end-to-end certificate and key management platform that helps enterprises automate SSL/TLS certificate lifecycles, SSH key management, discovery, renewal, deployment, and monitoring from one centralized interface. With built-in machine identity management, vulnerability protection, key vaulting, integrations, and automated workflows, it helps organizations reduce security risks, prevent certificate outages, and simplify management at scale. This episode breaks down the browser industry’s move to shorten public TLS certificate lifespans from 398 days to 47 days by 2029, and why that shift matters right now. We speak with Kumar Ramakrishnan, Director of Marketing for the ITSM and Privileged Access Management Suite at @manageengine, to explain the timeline, the operational risks, and what certificate lifecycle automation actually needs to cover. We discuss how the change affects organizations of every size, why manual renewal processes are going to fail at scale, and how teams should start with discovery before choosing tools. Kumar also shares how ManageEngine’s Key Manager Plus helps automate certificate discovery, renewal, deployment, and post-deployment actions across hybrid environments.

Paylocity is a unified workforce platform that brings HR, payroll, finance, and IT together in one modern system. Its automation, AI, analytics, and integrated workflows help organizations simplify operations, improve the employee experience, and make smarter workforce decisions. In this episode, we speak with Aaron Kneiss of @Paylocity about the company’s evolution from a payroll provider into a broader platform spanning HR, finance, and IT. Aaron explains how Paylocity’s Ignite AI brings purpose-built intelligence into everyday workforce operations, including payroll, recruiting, time tracking, reporting, and employee workflows. The conversation focuses on the three core pillars of Ignite AI: an assistant that answers questions across the platform, AI-powered workflows that reduce repetitive tasks, and intelligent insights that help HR leaders understand their data. Aaron explains how users can ask questions in plain language and get analysis, charts, trends, and potential root causes without exporting data into spreadsheets or manually combining reports. A major section of the episode explores how Paylocity is approaching AI in sensitive areas such as hiring, compensation, benefits, and employee information. Aaron describes the company’s governance process, protections for personally identifiable information, third-party bias audits, and granular controls that allow organizations to turn specific AI use cases on or off. The goal is to automate routine, high-volume work while keeping humans responsible for decisions that affect people’s livelihoods.

Epicor Kinetic is a cloud-based ERP platform built for manufacturers, helping businesses connect operations, streamline production, and gain real-time visibility across the enterprise. With integrated analytics, automation, supply chain, financial, and manufacturing capabilities, Kinetic helps companies improve efficiency, control costs, and scale with greater agility. In this Product Demo Showcase, Nick Adams, an @Epicor solutions engineer, explores Epicor Kinetic, a manufacturing-focused ERP platform built to unify finance, supply chain, production, scheduling, quality, and shop floor operations in one system. The demo highlights Kinetic’s browser-first interface, customizable dashboards, role-based security, real-time job tracking, mixed-mode manufacturing support, material requirements planning, and embedded quality management. Nick also introduces Epicor’s Grow Data Platform, which uses AI-assisted data mapping and validation to simplify migrations from legacy systems while supporting ongoing analytics and data monitoring. The discussion then explores Epicor Prism, a manufacturing-specific embedded AI toolkit that provides contextual insights, surfaces production and procurement issues, and helps users take action without leaving the ERP. Additional capabilities include Prism Agent Foundry, which allows customers to build customized agents and dashboards, and an MCP server that connects Kinetic securely with external AI tools while preserving manufacturing context. Overall, the showcase emphasizes Epicor Kinetic’s unified data model, flexible deployment, real-time visibility, human-guided AI, and ability to help manufacturers modernize operations without sacrificing control or security.

Nexcess Managed Cloud delivers high-performance, scalable cloud hosting built for demanding websites, ecommerce stores, and business-critical applications. With fully managed infrastructure, built-in security and performance optimization, and expert 24/7 support, @Nexcess helps businesses stay fast, reliable, and ready to scale without the burden of managing servers themselves. In this episode, we speak with Michael Ohayon of Nexcess Managed Cloud about the fallout from Broadcom’s VMware acquisition and the sharp rise in renewal costs for many customers. They explain that the biggest hit is landing on SMB and mid-market companies, where licensing changes can turn a routine renewal into a major budget crisis. The conversation also zooms out to broader infrastructure trends. Michael says many IT leaders are becoming more cautious about relying too heavily on AWS, Azure, or any single platform, especially after outages expose hidden dependencies across their tech stacks. The takeaway: more teams are looking for hybrid, diversified setups with more predictable costs. Nexcess Managed Cloud’s pitch is that it can absorb a lot of the operational burden for these companies. Michael describes how they provide managed infrastructure, compliance-focused hosting, migration support, backup and disaster recovery, and 24/7 monitoring so internal IT teams can focus on higher-value work instead of constant firefighting. A big section of the episode focuses on what it actually costs to leave VMware. It’s not just the licensing bill — it can also mean new hardware, migration services, new tooling, new staffing needs, and even paying VMware during a transition period. Michael says that’s why many customers feel trapped and why a phased, low-risk migration strategy is often the best first step.

FastField Forms helps businesses replace paper forms with customizable mobile forms that make field data collection faster, easier, and more accurate—even offline. With automated reporting, real-time dashboards, AI-powered form conversion and submission analysis, FastField turns collected data into actionable insights while streamlining workflows from the field to the back office. In this episode, we speak with Ross Martial, Senior Director of Growth Operations and Finance at @Quickbase, about why collecting data is only half the battle—and why the real value comes from turning that data into decisions while it still matters. The conversation covers how field data often gets buried in forms, inboxes, or spreadsheets, why that creates costly delays, and how FastField helps teams route information instantly to the right people and systems. Ross explains that @fastfieldforms sits between the field and the back office, acting as the “connective tissue” that keeps workflows moving. He also highlights one of the platform’s biggest advantages: offline access. Even in places with no signal, like oil rigs, basements, or substations, workers can keep collecting and submitting data, then sync everything once connectivity returns. That capability, he says, can save teams significant time and eliminate the need to fall back on paper. The episode also dives into FastField’s AI capabilities, especially photo insights. Ross describes how the system can analyze images and video from inspections to identify defects, hazards, and missing information, then generate structured findings such as severity ratings and confidence scores. He emphasizes that human judgment stays in the loop, but AI makes inspections faster, more consistent, and more proactive. Finally, the discussion covers FastField’s low-barrier approach to adoption, including its upcoming AI builder that lets users create forms and workflows from simple prompts. Ross frames the company’s strategy as helping teams start with their biggest pain point first, then expand from there—making digital transformation feel practical instead of overwhelming.

Servers.com delivers hybrid bare metal cloud infrastructure that combines scalable servers, customizable enterprise hosting, GPU-powered AI compute, and managed Kubernetes under one global network. Built for demanding workloads across industries like SaaS, fintech, gaming, streaming, and Web3, it helps businesses scale quickly, reduce latency, and maintain reliable performance without sacrificing control. In this episode, we speak with Isaac Douglas, General Manager at @servers_com, about why many engineering and IT teams are rethinking the public cloud and moving toward a more mixed infrastructure strategy. The conversation covers how hyperscale cloud promised simplicity and lower costs but has often become more complex and expensive in practice, why no single provider should be treated as the answer for every workload, and how companies are increasingly choosing the right environment based on the specific needs of each application. Isaac explains that bare metal cloud can offer the control, performance, and security of dedicated hardware while still preserving scalability and operational flexibility. He also discusses how managed Kubernetes on bare metal helps teams offload infrastructure complexity, letting them focus more on application scaling than on day-to-day operations. The episode further explores how AI workloads are accelerating demand for raw compute, low-latency infrastructure, and faster capacity access, making multi-vendor and hybrid approaches even more important. The conversation also digs into migration pain points, including outages, support issues, and rising cloud bills, and why businesses should evaluate the true cost and ROI before moving. Isaac shares a real-world example of an ad tech company that improved growth, performance, and cost control by moving only the parts of its stack that made sense, while keeping other services where they already worked well. Overall, the episode argues that the future of infrastructure is not cloud versus not cloud—it’s deciding which workload belongs where and partnering with a provider that gives honest guidance.

Flipsnack transforms static PDFs into interactive, shareable flipbooks that help businesses engage audiences, capture leads, and track what drives action. With built-in design tools, analytics, collaboration, integrations, and enterprise-grade security, it gives teams one platform to create polished digital catalogs, brochures, magazines, reports, and more. In this episode, we speak with Janina Moza, Chief Marketing Officer at @Flipsnack, about how businesses can turn static PDFs into interactive, trackable flipbooks that are far more engaging for sales, marketing, and internal communication. The conversation covers why interactive content outperforms traditional PDFs, how sales teams use branded templates and editable workspaces to create proposals quickly, and why strong branding and consistency matter when dozens of reps are sharing materials. Janina explains that Flipsnack helps teams go beyond just “making a flipbook” by offering an all-in-one publishing platform with analytics, privacy controls, and integrations that give sales teams visibility into how prospects actually engage with content. She highlights how tracking opens, page views, clicks, heat maps, and timing can help sellers follow up more intelligently and tailor conversations to what buyers care about most. The episode also explores how marketing and sales collaborate on the platform, with marketing creating core assets and sales personalizing them for specific prospects. Janina shares that customers are often more creative than the product team expects, and that many valuable use cases emerge from watching how people actually use the tool. She also discusses how the future of sales enablement will be shaped by AI, automation, and deeper CRM integrations that make content creation and follow-up faster and more seamless.

Wash-Dry-Fold POS is purpose-built laundromat software that combines point of sale, order tracking, pickup and delivery, employee management, reporting, loyalty, repair tracking, and more in one easy-to-use platform. Designed by laundromat owners and proven across high-volume stores nationwide, it helps operators streamline daily operations, reduce errors and theft, and scale from a single location to a multi-store business. In this episode, we speak with Ian Gollahon, co-founder and CEO of Wash-Dry-Fold POS, about how he built a laundromat point-of-sale system from the ground up by using his own stores as the test bed. The conversation focuses on the difference between self-serve payment systems and a true wash-dry-fold POS, and why generic retail tools like Square often fall short once orders need to be tracked through every step of the process. Ian explains that the platform is designed to manage the actual counter operation: creating orders, tracking machines, logging timestamps, sending customer texts, and keeping everything tied to the right load of laundry. The episode also explores why the software matters most for fully attended laundromats, especially those offering wash-dry-fold service at scale. Ian explains how the system helps owners reduce mistakes, prevent theft, and avoid customer disputes by maintaining a detailed audit trail of what happened to each order. He stresses that the real cost of software is not just the monthly fee, but also payment processing rates, hardware reliability, and how easy the system is for attendants to use. That usability theme runs throughout the conversation, with Ian noting that a tool only works if the people running the store can actually adopt it day to day. A major theme of the conversation is that business software should reflect the real workflow of the business, not force owners to adapt to generic retail assumptions. Ian emphasizes that laundromat owners need tools that help manage employees, track shift tasks, and keep multi-store operations visible from a single dashboard. He also shares that the best POS depends on the business model: some laundromats need wash-dry-fold management, while others may be better served by delivery- or dry-cleaning-focused tools. The episode closes with Ian’s advice to focus on your core laundromat business first, then scale into delivery only when the underlying operation is already strong and profitable.