Best AI Usage Control Software for Slack
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Compare the Top AI Usage Control Software that integrates with Slack as of September 2026
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This a list of AI Usage Control software that integrates with Slack. Use the filters on the left to add additional filters for products that have integrations with Slack. View the products that work with Slack in the table below.
What is AI Usage Control Software for Slack?
AI usage control software helps organizations monitor, govern, and limit how artificial intelligence systems are accessed and used across teams and applications. It provides visibility into AI consumption patterns, tracks model usage, and enforces policies such as access rights, quotas, and cost thresholds to prevent misuse or overuse. The software often includes real-time alerts, audit logs, and compliance reporting to ensure responsible AI deployment and alignment with internal governance standards. Many solutions integrate with identity management, billing systems, and AI platforms to centralize control and policy enforcement. By managing how AI is used across an organization, AI usage control software enhances security, cost efficiency, and ethical compliance. Compare and read user reviews of the best AI Usage Control software for Slack currently available using the table below. This list is updated regularly.
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1
Rippling
Rippling
Rippling AI Spend Console is an AI spend management tool that helps companies see, analyze, and control AI costs in one place. The platform connects tools such as Anthropic, OpenAI, and Cursor to centralize AI spend visibility across the organization. Teams can break down costs by employee attributes such as team or department to understand where AI usage is happening. Rippling AI Spend Console maps token spend to pull requests and code reviews so companies can evaluate whether AI usage is tied to productive business outcomes. The platform also supports plain-language questions, dashboard creation, request logging, and governance over approved LLM usage. Built for companies managing fast-growing AI bills, Rippling AI Spend Console helps finance, IT, engineering, and operations teams track usage, reduce waste, and govern AI spend.Starting Price: $8 PEPM -
2
Auvik
Auvik Networks
Auvik's cloud-based network monitroing and management software gives you instant insight into the networks you manage, and automates complex and time-consuming network tasks. You get complete network visibility and control. Real-time network mapping & inventory means you'll always know exactly whats where, even as your users move. Automated config backup & restore on network devices means you'll mitigate network risk with no manual effort. And deep network traffic insights is a game changer. Whether you are a corporate IT professional or a Managed Service Provider, Auvik has a simple, out of the box solution for you and your team that only take minutes to deploy. -
3
CloudEagle.ai
CloudEagle.ai
CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and Identity Governance platform that helps organizations discover, govern, and optimize every SaaS and AI application across the enterprise, including applications outside traditional SSO or IT visibility. CloudEagle enables teams to detect Shadow IT and Shadow AI, automate provisioning and deprovisioning beyond the IDP, manage security posture, track NHIs, govern AI application usage, run continuous access reviews, optimize licenses, and streamline renewals using real usage and benchmarking insights. With 500+ integrations and AI-driven contract and usage intelligence, CloudEagle centralizes application access, spend, contracts, renewals, and compliance visibility into a single governance platform.Starting Price: $2000/month -
4
Nudge Security
Nudge Security
Discover every cloud and SaaS asset in your organization—in minutes. Expose shadow IT, eliminate SaaS sprawl, and take control of your supply chain. In just minutes, Nudge Security discovers, inventories, and continuously monitors every cloud and SaaS account employees have ever created. No network changes, endpoint agents, or browser extensions required. Accelerate security reviews to match the pace of SaaS adoption with insights on each provider’s security, risk, and compliance programs. Gain visibility across the SaaS supply chain to know if you’re in the blast radius of a data breach. The only way to manage SaaS security at scale is to engage with your workforce—not block them. Deliver helpful security cues based on proven behavioral science to nudge employees toward better decisions and behaviors.Starting Price: $4 per user per month -
5
Airia
Airia
Airia’s enterprise AI orchestration platform seamlessly integrates with existing systems and data sources, offering a no-code agent builder for rapid prototyping, pre-built connectors for unified data integration, intelligent AI operations that optimize performance and costs through smart routing and centralized lifecycle management, and enterprise-grade security and governance with detailed audit capabilities and responsible AI guardrails. Model-agnostic and vendor-neutral, it supports flexible deployment across shared or dedicated cloud, private cloud, and on-premises environments, enabling both technical and business users to build, deploy, and manage secure AI agents at scale without complex installation or migration. Its intuitive interface and unified platform transform workflows across functions, from engineering and IT to finance, legal, marketing, sales, and support, so organizations can accelerate AI initiatives with confidence and compliance.Starting Price: $49 per month -
6
Oximy
Oximy
Oximy is a platform built to provide organizations with complete visibility, governance, and protection over how artificial intelligence is used across their workforce, acting as a centralized system of record for enterprise AI activity. It automatically detects and categorizes every AI tool being used by observing network-level interactions, eliminating the need for manual tracking or individual integrations. It continuously monitors how employees, applications, and agents interact with AI systems, analyzing prompts, responses, and data flows in real time to identify risks such as sensitive data exposure, unsafe outputs, or unauthorized usage. It enables organizations to enforce policies dynamically, block risky behavior, and receive alerts when violations occur, while also reconstructing activity to provide full traceability and auditability. Oximy consolidates fragmented AI usage into a unified view, helping teams understand adoption patterns.Starting Price: $9 per month -
7
Nightfall
Nightfall AI
Discover, classify, and protect your sensitive data. Nightfall™ uses machine learning to identify business-critical data, like customer PII, across your SaaS, APIs, and data infrastructure, so you can manage & protect it. Integrate in minutes with cloud services via APIs to monitor data without agents. Machine learning classifies your sensitive data & PII with high accuracy, so nothing gets missed. Setup automated workflows for quarantines, deletions, alerts, and more - saving you time and keeping your business safe. Nightfall integrates directly with all your SaaS, APIs, and data infrastructure. Start building with Nightfall’s APIs for sensitive data classification & protection for free. Via REST API, programmatically get structured results from Nightfall’s deep learning-based detectors for things like credit card numbers, API keys, and more. Integrate with just a few lines of code. Seamlessly add data classification to your applications & workflows using Nightfall's REST API. -
8
Reco
Reco AI
Reco leverages business context to protect sensitive assets shared through Slack, Jira, Microsoft 365, Google Workspace, and more. Reco maps sensitive business processes and interactions to discover the data assets that flow through collaboration tools. Whether that’s a customer ticket with sensitive information, data sent on the wrong Slack channel or a file shared with the wrong user, Reco protects your business. Reco’s proprietary AI technology dynamically maps business interactions within your collaboration tools and identifies sensitive assets shared. This provides the context behind every user action and accurately uncovers incidents that are specifically relevant to your business. Forget static rules that need to be monitored and updated as the business changes, grows, or adds new applications. Reco’s AI engine protects sensitive assets shared via collaboration tools while using dynamic context-based detection that never has to be maintained or configured. -
9
Aurascape
Aurascape
Aurascape is an AI-native security platform designed to help businesses innovate securely in the age of AI. It provides comprehensive visibility into AI application interactions, safeguarding against data loss and AI-driven threats. Key features include monitoring AI activities across numerous applications, protecting sensitive data to ensure compliance, defending against zero-day threats, facilitating secure deployment of AI copilots, enforcing coding assistant guardrails, and automating AI security workflows. Aurascape's mission is to enable organizations to adopt AI technologies confidently while maintaining robust security measures. AI applications interact in fundamentally new ways. Communications are dynamic, real-time, and autonomous. Prevent new threats, protect data with unprecedented precision, and keep teams productive. Monitor unsanctioned app usage, risky authentication, and unsafe data sharing. -
10
CyberTide
CyberTide
CyberTide is an AI-native data security platform designed to give organizations full visibility, control, and protection over sensitive data across cloud, SaaS, collaboration tools, and generative AI environments. It combines multiple security capabilities into a unified stack, including Data Loss Prevention (DLP), Data Security Posture Management (DSPM), insider risk management, and AI security posture management, allowing teams to detect, classify, and secure data in real time. It uses context-aware artificial intelligence to analyze the meaning and relationships of data rather than relying on keywords, significantly reducing false positives while achieving high-precision detection of sensitive information. It continuously scans data at rest and in motion, across emails, chats, files, and AI prompts, enforcing policies that prevent unauthorized sharing, leakage, or misuse of confidential data such as personal, financial, or proprietary information. -
11
Singulr
Singulr
Singulr is an enterprise AI governance and security platform that provides a unified control plane to help organizations discover, secure, and optimize AI adoption at scale. It addresses the growing gap between rapid AI usage and limited governance by delivering complete visibility into all AI systems in use, including homegrown applications, embedded AI, public tools, and shadow AI that often remains invisible to security teams. It continuously discovers and inventories AI assets across the organization, creating a real-time map of agents, models, and services, while assessing their risk through contextual analysis of data handling, model lineage, vulnerabilities, and compliance implications. Through its Singulr Pulse intelligence layer, it evaluates millions of AI systems, assigns risk scores, and supports automated onboarding workflows that reduce approval cycles from weeks to hours without compromising security. -
12
Straiker
Straiker
Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows.
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