Mindflow

If your compliance workflows still depend on screenshots and manual evidence collection, the issue is not policy. It’s integration depth. Access controls, privileged accounts, audit logs, identity provisioning, and security searches. They live in different systems. When integrations are shallow, automation stops at reporting. You can document controls. You can’t enforce or validate them in real time. Compliance scales only when user lifecycle actions, privilege management, audit trails, and security checks are fully accessible via APIs. Full read and write coverage. Not exports. Not point-in-time snapshots. @CyberArk Application Access Manager · @Imperva Audit Trail · @ironclad_inc SCIM · @Trellix MVISION Searches · @Veriff

Most service desk tickets don’t take time to solve. They take time to investigate. Information sits across multiple tools. Similar incidents get reopened again and again. And IT teams spend valuable time gathering context before they can act. In this demo, Umberto Mattei, Solution Designer at Mindflow, shows how AI agents can automate the first stage of incident handling in ServiceNow. When a new ticket is created: • The agent analyzes the incident • Searches for similar past tickets • Determines if the issue can be resolved automatically • Or enriches the ticket with context from across the stack If escalation is needed, the IT admin receives a ticket that already contains the relevant history, device data, and investigation details. Full Demo on youtube: youtu.be/DMCVzxVdEKg?si…

We are boarding soon! Heading to @OneRSAC Conference 2026. While dashboards are still describing the fire, Mindflow agents are already putting it out. Agentic AI. No-code automation. Real execution across your security stack. Curious what autonomous security operations look like? 📍 Moscone Center, San Francisco 📅 March 23–26 🎯 Booth S-2349 Stop by. We promise fewer buzzwords and more working automation.

RPA automated clicks. Agentic automation handles decisions. For years, enterprises tried to push RPA into workflows it was never designed for. The moment variability, exceptions, unstructured data, and changing inputs appear, the scripts start to break. That is where agentic systems come into play. They do not replace RPA. They handle the part RPA could never scale to. Workflows that require context, judgment, and adaptation. In this new article, we break down what actually changes for enterprise IT teams: • Where RPA still makes sense • Where agentic automation takes over • How both can run in parallel without creating architectural chaos If you are evaluating automation strategies right now, this distinction matters. Read the full article → mindflow.io/blog/agentic-a…

If your network security automation stops at alerts, the issue is not visibility. It’s integration depth. Search results, firewall rules, proxy scans, and external exposure data. They sit in different systems. When integrations are shallow, automation ends at investigation. You can see the signal. You can’t enforce the control. Network security scales only when searches, rule updates, scans, and threat-intelligence queries are fully executable via APIs. Full read and write coverage. Not dashboards. Not manual rule changes. @Trellix MVISION Searches · @zaproxy · @pfsense · Anomali ThreatStream · ONYPHE

Every alert requires context, correlation, and validation across multiple tools. That work is still mostly manual. Slow. Repetitive. Easy to miss signals. Ai··Agents change how investigations happen. Instead of analysts jumping between dashboards, agents gather context, correlate incidents, and surface what actually matters. The result: • Rich investigation context in seconds • Less alert noise and fewer false positives • Faster root cause analysis • Lower MTTR They remove repetitive investigative work so analysts can focus on decision-making. Build your first AI··Agent with Mindflow.

Mindflow 🤝 @upwindsecurity We’re excited to join the Upwind Lineup → Upwind’s Technology Alliance Program. Upwind brings deep runtime visibility into cloud workloads, activity, and real risk exposure. Mindflow turns those insights into automated, orchestrated responses across the security stack. By joining the Lineup, we’re strengthening our ability to help customers move faster from detection to action → without manual handoffs or operational friction. Together, Mindflow and Upwind enable: • Automated remediation of risky cloud configurations • Incident escalation across SecOps and CloudOps • Automated ticketing and contextual enrichment • Cross-tool investigations and response using Mindflow’s automation engine This integration allows security teams to operationalize runtime risk instantly → reducing alert fatigue and accelerating response at cloud scale. Looking forward to building, innovating, and growing together.

@obadiahbridges @runpanther This is where our AI··Agents enter, with Human in the loop support. Learn more: mindflow.io/autonomous-age…

@Mindflow_io @runpanther the no-code angle is smart but the gap is always correlation rule tuning. you can automate the response workflow all day but if the alerts feeding it are too noisy or too broad, you're just automating bad decisions faster

@runpanther 's cloud-native AI SOC & SIEM platform now runs directly within Mindflow’s automation engine. Alerts from Panther can trigger automated response workflows in Mindflow, such as remediation, incident escalation, and ticket creation. This reduces manual steps for security teams and accelerates response times. We’re focused on helping SecOps and CloudOps teams do more with less. This integration also enables you to automate tasks such as continuous posture checks, large-scale log source management, and adaptive data lake queries without writing code. More details on how this unlocks real-world security automation coming soon.

If your malware analysis workflows still rely on analysts jumping between tools, the issue is not detection. It’s integration depth. Threat intel, sandbox results, IOCs, proxy logs. They live in separate systems. When integrations are shallow, automation stops at enrichment. You can collect indicators. You can’t orchestrate action. Malware response scales only when ingestion, parsing, detonation, enrichment, and blocking can all be executed via APIs. Full read and write coverage. Not just lookups. @zscaler Cloud Service · @Anomali ThreatStream · IOC Parser · HostedScan · SNKY

If your ticketing workflows still depend on humans copying data between tools, the issue is not process. It’s integration depth. Ideas, incidents, customer requests, internal tasks. They sit in different systems. When integrations are shallow, automation stops at ticket creation. A ticket is opened. Then someone has to push it forward manually. Ticketing only scales when every status change, field update, comment, and assignment is accessible through the API. Full read and write coverage. Not just “create ticket.” @Atlassian Product Discovery · Ivanti Cherwell · @HubSpot Tickets · @Zendesk · @trello

If your DevOps automations still rely on manual steps, the problem is not tooling. It’s API depth. Pipelines, logs, cloud resources, tokens, and risk signals sit across different systems. When integrations are partial, automation stops at notifications. You get alerts. You don’t get action. DevOps at scale requires full read and write access across your stack. Search, token rotation, cloud operations, risk checks. All executable. Not screenshots. Not exports. Real API coverage. @exabeam Search · @databricks Token Management · 3DS OUTSCALE · @Trellix MVISION · @UpGuard CyberRisk

If integrations are blocking your automation in 2026, it’s not an AI problem. It’s a stack problem. We just updated Mindflow’s integrations page to reflect the unmatched depth of our catalog. 4,000+ integrations → The number keeps growing Full API coverage → not partial endpoints All operations exposed, not just read-only triggers Most “automation” fails because tools can’t actually act. They can fetch data. They can create tickets. But they can’t execute the full workflow. That’s where things break. Mindflow was built differently. Integrations are not an add-on for us. They are the foundation. Every integration is designed to expose the full API surface, enabling agents and workflows to close the loop. You can now browse exactly what you need directly on our integrations page. And yes, with 4,000+ integrations, it’s very unlikely you won’t find what you’re looking for. But if you don’t, just ask, and we'll add it in a couple of days. 😉 We’ll show you how fast we can deliver the integration you’re missing.

If your data security automations are still brittle, the issue is not detection. It’s integration depth. Access risk, identity signals, user context, and external exposure data often live in separate tools. When integrations are shallow or incomplete, automation stops at visibility. You can see the risk. You can’t act on it. Data security only scales when identity, access, and exposure data are fully accessible through APIs. That means full read and write coverage. Not dashboards. Not exports. @SailPoint Access Risk Management · @kaspersky · @Imperva User Management · @Microsoft Graph Identity · ONYPHE

A support ticket shouldn’t be another problem to solve. It often is. Not because the issue is complex. But because triage is manual, fragmented, and slow. This AI IT triage agent converts a simple user message into a fully formed @ServiceNow incident. User identified. Device resolved. Ticket created. No forms. No back-and-forth. No copy-paste. This is what operational AI should look like.

It’s 2026. If automation is still blocked by integrations, the problem is not AI. It’s your stack. Teams lose momentum because tools do not talk to each other. APIs are partial. Integrations are shallow. Truth is simple. If your integrations don't cover the full API, your tools' automated interactions are limited. Many automation use cases are out of reach; your security operation won't scale, while the number of alerts does, exponentially. Full API coverage for Integrations should be a given, not a roadmap item. Mindflow integrates, among 4000+ other services, with full API coverage! @GitGuardian @pagerduty @Patrowl_io @Acronis @databricks

Most “automation” fails at the handoff ? Enterprise teams do not work in silos, and automation should not either. Most friction comes from poor handoffs between tools and teams. Mindflow connects existing stacks across functions and improves how work flows between them. Start with one agent or coordinate many, each with a clear role. From there, automation naturally expands to ITOps, CloudOps, business operations...That is how modern enterprises are built. Step by step, toward real hyperautomation.

Most teams use @Acronis as a control plane for backup, protection, and identity. The real opportunity is turning that control into faster, cleaner operations. Mindflow integrates with Acronis Cyber Protect Cloud to expose control, telemetry, and actions in one place. What this enables: → Centralized access to identity, backup, policy, and task data → Event-driven triggers from Acronis activity → The ability to turn signals into workflows, not dashboardsT These integrations expose the building blocks. Mindflow is what turns them into workflows and orchestration.

Trying to figure out… is this a bug fix? A feature? Or worse, something security-related masked as a minor tweak? Saving engineers from yet another repetitive task that doesn’t really need a human brain is god’s work. So we automated it. Using the GitHub v3 REST API → auto-label PRs based on their title, description, and changed files. No magic, just smart classification: • BUG • FIX • SECURITY …and more, depending on what’s detected. The result? ✅ Faster reviews ✅ Fewer misclassified PRs ✅ Better alerting for high-risk changes ✅ And more time for devs to actually build things Automation in DevOps should be the default. Curious how it works behind the scenes or want to build your own version? Happy to chat.

At last week’s @LucerneDialogue European Economic Forum, I joined a panel on Europe’s AI future. Grateful to have shared the stage with: • Sean Kask (SAP Business AI) • Sylvain Quartier (Ekinops) and host, Usman Javaid Thanks to @orangebusiness for shaping this conversation