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By Tines
Security and IT leaders face a contradictory mandate: move faster with AI and automation while maintaining governance over every action that touches production systems, user accounts, and sensitive data. Most tools force a choice between two failure modes. Either the workflow runs autonomously, and the team hopes nothing breaks, or every action requires manual approval and analysts spend their shifts rubber-stamping low-risk steps until oversight disappears behind a green-checkmark audit trail.
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By Tines
AI agents don't behave like the playbooks security and IT teams have spent years building. They form intent, select tools at runtime, and chain actions across systems in sequences nobody pre-authored. This means dropping an LLM into an existing automation sequence and expecting it to act like a smarter playbook is the fastest route to ungoverned, unpredictable outcomes.
Compliance teams know the pattern well: tracking down a missing access review sign-off at 11 p.m. the night before an audit, piecing together evidence from spreadsheets, email threads, and the gap between HR and IT. Access reviews keep appearing in SOC 2 exceptions, and the controls usually aren't the problem. The manual processes around them are. Many teams respond by buying a dedicated GRC (Governance, Risk, and Compliance) platform. Traditional GRC tools are structured repositories.
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By Tines
A security engineer spends three weeks building an AI agent that triages phishing reports. The demo lands well. Then it hits the security review queue, and the questions start: Which tools can it call? What happens if it misclassifies? Who approves an account lockout at 2 a.m.? Where are the logs? Three more weeks pass, and the agent is still sitting in staging. This is the pattern most teams run into. The agent works, but the governance story doesn't.
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By Tines
Enterprise automation keeps running into the same wall. Teams inherit tools built for a tidy world, then deploy them into one where alerts arrive at odd hours, APIs change without warning, and the "obvious" next step depends on context no playbook anticipated. The usual response, buying a platform, scripting every scenario, and bolting on an AI copilot, leaves the on-call engineer debugging the automation instead of the incident.
For IT teams, a meaningful share of every week disappears into manual, repetitive work: account provisioning, password resets, data reconciliation across systems. IT workflow automation coordinates these multi-system processes through event-driven triggers, conditional logic, and API-level integration, all under IT's governance umbrella. These workflows span multiple systems and route through identity providers.
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By Tines
Most enterprise teams already run some form of workflow automation. The question is whether it can hold up when an AI step makes decisions within the chain, an auditor asks for a trail, and three teams need to build on each other's work without stepping on governance. That is where consumer-grade tools and enterprise-grade platforms part ways. The gap is architectural, not a feature lag, which is why it cannot be retrofitted.
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By Tines
Network security stacks are stronger than ever: visibility is high, threat detection is improving, and AI adoption is widespread, with 99% of SOCs using it in some capacity. But despite these advances, network security teams face many of the same operational challenges as before. Incidents still escalate. Responses are slow. Analysts remain overwhelmed and burnt out. The issue isn’t detection – it’s what happens next.
Security and IT teams know the pattern: work spans dozens of tools that don't talk to each other, and people closest to the problem spend more time stitching together information than acting on it. Whether the job is provisioning access, triaging an anomaly, or closing out an incident, the reality is fragmented handoffs and brittle scripts. The data backs this up.
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By Tines
AI agents are showing up across every team's stack faster than the systems to coordinate them. Cross-team work that depends on five tools and three approvals tends to break in the handoffs between them, and most teams patch those breaks with manual stitching, fragile scripts, or alerts that age in a queue until someone notices. Workflow orchestration is the coordination layer that closes those gaps.
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By Tines
Your teams are moving fast with AI — but is IT and Security able to see what's actually being built? IT and AI leaders are facing a career-defining challenge right now: AI-generated code and shadow AI spreading faster than anyone can track. Introducing Tines 3B — a single, secure environment that gives employees the freedom to build with AI, and gives IT and security the control to govern that work safely.
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By Tines
Description: Tines 3B is an AI-native environment that gives every team the power to build agents, apps, and automations with AI, and gives IT and security the control to govern that work safely across the business. Here, Eoin Hinchy (Co-founder and CEO), Stephen O'Brien (Head of Product), Eoghan Reid (Lead Product Designer), and Rosie Ellison (Product Manager) share the story behind building Tines 3B, and the mission driving it: making automation 100x simpler and 100x faster, without compromising on AI governance or control.
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By Tines
Automate user account provisioning for Okta and Office 365, with a built-in approval step. In this five-minute flow, you'll see how Tines handles the full lifecycle of a new user access request: from a self-service form submission, through a Slack-based approval, all the way to account creation in Okta or Microsoft Entra ID (Office 365). No more manual back-and-forth between IT, system owners, and new starters.
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By Tines
Networking and network security stakes are high. Like really high. Infrastructure downtime costs teams at minimum $50,000 per hour, according to Business Wire. So what’s standing in the way of a faster, more coordinated response? Join Netskope and Tines for a live conversation on how you can move from reactive networking and network security operations to proactive response. Learn how to bridge the gap between detection and resolution across modern hybrid environments, improving reliability, accelerating response times, and reducing the manual work that slows teams down.
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By Tines
Automatically detect suspicious story deletions and insider threats in Tines before they become a bigger problem. This five-minute flow monitors your Tines audit logs on a schedule, checks for both soft and hard story deletions, and flags unusual user behaviour. When something looks off, an LLM summarizes the user's recent activity and a Case is automatically created for your team to investigate.
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By Tines
What would your IT team do with 150 extra hours in just one month? That’s exactly what Jamf achieved - the equivalent of nearly one additional full-time employee - while dramatically accelerating workflow delivery and reducing manual operational overhead. In this session, hear directly from the Jamf team on how they replaced manual, ticket-based IT work with intelligent workflows - from responsive phishing reporting and employee alert notifications to on-demand FileVault key recovery.
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By Tines
Automatically enrich CrowdStrike endpoint detections with VirusTotal and create fully enriched alerts in TheHive. When a new endpoint detection fires in CrowdStrike, this Tines story instantly creates a structured alert in TheHive and kicks off three parallel enrichment paths; checking every IP, file hash, and URL against VirusTotal. By the time your analyst opens the alert, the context is already there.
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By Tines
Restrict access to AI tools and you curb innovation. Open it up and security risks multiply. And then there's a third problem: approved tools behaving in unapproved ways. Security and IT leaders are navigating a new and fast-moving problem - employees using AI to build workflows, automations, and agents faster than anyone can track or govern. The question isn't whether it's happening. It's what to do about it.
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By Tines
Automatically detect when user connectivity degrades in Netskope ADEM and respond instantly with an AI-powered Slack chatbot. In this five-minute flow, we walk through how to monitor Netskope ADEM experience scores for key users and trigger proactive outreach via Slack when performance drops. You'll see how Tines pulls scores on a schedule, creates a case when a threshold is breached, uses an LLM to craft a personalised Slack message, and deploys a Virtual Assistant to help the user troubleshoot in real time.
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The world’s best companies – from startups to the Fortune 10 – trust Tines with their mission-critical security workflows.
Security and operations teams are too often stuck doing manual, repetitive tasks, and we want to change that. Tines is an automation platform designed to allow anyone to automate any manual task, regardless of complexity. No apps, plugins, or custom code required.
Tines customers automate an average of 20 workflows in year one. Build classic SOAR capabilities like endpoint detection & response and phishing response, solve needs like employee onboarding and Slack bots, and automate complex workflows unique to your business – all in the same tool.
With 1,000+ template options for common security actions, Tines is power and simplicity through direct integration with your existing tools.