It’s easy to get lost in all the press releases announcing the latest AI agents, agentic AI capabilities, and AI development tools. So, I went hunting and developed this list of AI agents and related capabilities from SaaS and security vendors with $500M+ in ARR (annual recurring revenue).

These are the largest tech and security vendors offering agentic AI capabilities for CIOs to review. I plan a follow-up article for AI agents from midsize and startup technology and security vendors, and a third one from technology service providers.

This list include agentic AI capabilities from Adobe, Anaplan, Appian, Apple, Atlassian, AWS (Amazon Web Services), Box, BMC, Canva, Cisco, Cloudflare, Conga, Coupa Software, CrowdStrike, CyberArk, Databricks, Datadog, Dayforce, DocuSign, Elastic, Figma, Fortinet, Google, HubSpot, Infor, Informatica, Microsoft, MongoDB, Netskope, Okta, OneTrust, Oracle, Outsystems, PagerDuty, Palo Alto Networks, Pega, Qualtrics, Rapid7, RingCentral, Salesforce, SAP, ServiceNow, ServiceTitan, Shopify, Snowflake, Tanium, Terradata, UiPath, Verint, Wiz, Workday, Zendesk, Zoom, and Zscaler.

AI Agents, agentic AI, platforms, marketplaces, or AI assistants?

It’s challenging to differentiate a vendor’s AI capabilities without getting into the weeds and seeing how they work. Some are AI agents that connect natural language inputs/outputs with workflow and analysis capabilities. Some may qualify as agentic AI, supporting agent-to-agent orchestration and providing guardrails to define which actions are autonomous and which require a human-in-the-middle. There are also AI agent development tools on this list.

But it’s hard to distinguish between the AI agents on this list and those that are only virtual assistants or AI-enabled chatbots. It’s also challenging to know if AI platforms have AI agentic capabilities and the full scope of AI marketplaces – there are a few on this list.

That said, I expect technology and security providers will focus on AI agents and agentic capabilities, and that some of this jargon will converge into defined categories and capabilities.

Beyond POCs and Pilots: Succeeding with AI Agents

Before we get to the guide on AI agents, let me share some perspectives. There’s a lot of AI experimentation, which is great for learning, but not good enough to drive continued enthusiasm from the board through employees. I have three recommendations for CIOs:

• Avoid bumbling into the AI productivity trap and the disastrous GenAI Roi ROI problem. To be a world-class IT department, define a vision statement around AI experiments, and look for agentic AI capabilities that easily plug into existing workflows. Expand from there by focusing on change leadership that drives adoption.
• Configure and partner before building AI agents. Develop a balanced AI governance strategy that empowers experimentation that’s aligned to strategy, objectives, and policies.    
• Many organizations should seek to develop AI agents around proprietary and industry-specific workflows. Innovators will establish agentic AI customer experiences. But before giving DevOps teams the green light, define essential development principles and other non-functional requirements. Ensure teams know the architecture rules and ask about data governance and management.

Contact me if you have any questions about AI strategy, data governance, and agile change leadership: Three transformation core competencies needed to deliver AI business outcomes.

The definitive guide to AI Agent capabilities from leading tech companies

Here’s my list. Creating the list required leveraging genAI, researching, and submitted recommendations. If you’d like to recommend additions, suggest changes, or nominate AI agents for my upcoming articles, please complete this submission.  

Adobe

• Agent Orchestrator & AI Assistant: Adobe Experience Platform introduces the Agent Orchestrator as an enterprise AI engine for orchestrating specialized agents that can plan actions, integrate context, and optimize customer experiences. The AI Assistant enables conversational workflows across Adobe and third-party apps, embedding agentic intelligence for marketing, support, and analytics.

Anaplan

• Network of AI Agents: Agents in finance, sales, supply chain, and workforce.

Appian

• Appian AI Agents: Automate critical enterprise processes with out-of-the-box and custom agent templates built on a private AI architecture. These agents access  Data Fabric, make contextual decisions, monitor outcomes with Process HQ, and maintain compliance and privacy. Use cases include patient intake, accounts payable, and AI-powered chatbots, with auditability and monitoring of agent actions.

Apple

• Apple Intelligence: A personal AI system integrated across iPhone, iPad, and Mac that combines generative AI with personal context to help users write, take action, create content, and manage day-to-day digital activities. Its agentic features include writing tools, Smart Replies, context-aware app actions, and Siri powered by Apple Intelligence for proactive workflows across apps, messaging, and productivity tools.

Atlassian

• Rovo: AI-powered teammate for enterprise search, chat, and task automation. Rovo Agents can be configured for specialized tasks using Atlassian Intelligence and Teamwork Graph (includes hundreds of skills across Jira, Confluence, and other apps).
• Jira Service Management Virtual Service Agent: Specialized for Tier 1 support issues.

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AWS (Amazon Web Services)

• Bedrock Agents and AgentCore: Bedrock Agents are model-agnostic, configurable AI agents for enterprises. AgentCore offers observability, gateway integration, and production tools for custom agent workflows.
• Strands Agents: An open-source SDK for building and running model-driven agents.

Box

• Box AI Agents: Unlock critical insights from unstructured data, automating tasks, and accelerating decisions with secure, permissions-aware models.

BMC

• BMC Helix AIOps and Service Management: Blends intelligent automation, collaboration, and context-aware decision-making to reshape enterprise IT. It employs specialized AI agents that work alongside ITOps teams, enhancing efficiency, accelerating remediation across AIOps and service management, and improving regulatory compliance.

Canva

• Canva AI Assistant: Visualize ideas, generate compelling copy, and turn thoughts into stunning, fully editable designs.

Cisco

• Webex AI Agents: Autonomous agents embedded in the Webex Suite (e.g., Task Agent, Note Taker Agent, Meeting Scheduler, Receptionist Agent, AI Renewals Agent developed with Mistral AI).
• Cisco AI Assistant: IT Operations AIs include AI Canvas.

Cloudflare

• Cloudy AI Agent: Assists with Cloudflare configuration, rule logic optimization, and incident investigation, available in WAF, Zero Trust, and Security Analytics.
• Agents SDK: Build and deploy AI-powered agents that can autonomously perform tasks, communicate with clients in real time, call AI models, persist state, schedule tasks, run asynchronous workflows, browse the web, query data from databases, and support human-in-the-loop interactions.

Conga

• Conga Advantage AI: Contract agents extract, analyze, and summarize clauses, automate redlining, and recommend compliance actions in document workflows.

Coupa Software

• Coupa Navi AI Agents:  Empower procurement and finance teams with real-time insights, decision support, and automation. Four agents: Analytics agent, evaluation agent, request creation agent, and knowledge agent.

CrowdStrike

• Charlotte AI: Enables security teams to build custom agents for incident response, alert triage, malware analysis, and threat hunting. These agents work across CrowdStrike’s Falcon platform with real-time automation, conversation interface, and agentic workflow generation. Charlotte AI turns prompts into playbooks, powers agent-driven investigations, and offers no-code agent creation for analysts.

CyberArk

• Secure AI Agents: Includes Agent Watch, a new observability framework to gain insights into AI agent interactions, Agent Guard, and SCA MCP Server.

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Databricks

• Mosaic AI products: Tools for end-to-end AI agent systems, including Agent Bricks, and Agent Framework.

Datadog

• Bits AI: Supports cloud operations by investigating alerts, assisting with incident resolution, fixing code, and triaging cybersecurity threats. These agents are trained for SRE, development, and security tasks and work across Datadog’s monitoring stack. Features include end-to-end observability, context-driven recommendations, and automation in incident response and code analysis.

Dayforce

• Dayforce AI Agents: Simplify various workflows across the Dayforce application suite of HR, Pay, Time, Talent, and Analytics to drive improved efficiency for employees. 

DocuSign

• DocuSign Iris: Create agreements faster, negotiate effectively, and sign contracts with greater confidence to deliver maximum business impact.

Elastic

• Elastic AI Assistant: Faster problem resolution.
• Elastic AI Agent Builder: A framework with building blocks for creating AI Agents: an open set of primitives, standards‑based protocols, and secure access to data.

Figma

• Figma AI Agents: Automate interface design, content suggestions, project QA, and developer handoffs.

Fortinet

• FortiAI-Assist: Accelerates detection, reduces overhead, and improves operational efficiency at AI speed. Through continuous analysis, baselining, and trend insights, it uncovers threats, correlates activity, and optimizes network performance—helping NOC and SOC teams stay resilient, proactive, and effective across the enterprise.

Google

• BigQuery Data Agent and Data Agents in Looker Studio: Specialized agents unveiled for enterprise and developer workflows.
• Vertex AI Agent Builder: Tools for developing production-ready task and workflow agents.

HubSpot

• Breeze AI Agents: Automate marketing, sales, and service tasks in HubSpot’s platform. These agents personalize customer interactions, qualify leads, conduct research, and generate documentation based on support tickets. Teams can customize assistants for their workflows and train agents on company-specific data, improving productivity across business operations.

Infor

• Industry AI Agents: Micro-vertical, role-based AI agents designed to unlock operational value and drive continuous process optimization.

Informatica

• AI Agent Engineering: New service enables enterprises to build, connect, and manage intelligent AI agent workflows
• CLAIRE Agents and CLAIRE Copilot: Autonomous data management and copilot for data integration and application integration.

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Microsoft

• Microsoft Copilot: Embedded across Windows, Microsoft 365, and Azure. Includes specialized Copilot agents (e.g., Copilot for Microsoft 365, Copilot Studio for custom agents, GitHub Copilot Autonomous Coding Agent) and new offerings like Copilot Tuning and the Microsoft Agent Framework.
• Azure AI Foundry Agents: Platform for creating secure, deployable AI agents.

MongoDB

• Atlas AI Agents: Build memory-augmented AI agents for applications such as customer service, claims processing, and compliance.

Netskope

• SkopeAI: Powers policy enforcement, threat detection, sensitive data analysis, and automated decisioning across cloud, web, and SaaS applications.
• Netskope One Copilot: Helps deploy and optimize zero trust access by linking agents and security models to automate policy and incident response.

Okta

• Okta AI: build better experiences and protect against cyberattacks.

OneTrust

• Third Party Risk Agent: Automates intake, accelerates assessment, summarizes key findings, flags risks and issues, and guides monitoring and response to critical risk events.
• Privacy Agent: Helps privacy pros accelerate risk reviews

Oracle

• AI Agent Platform: A suite of AI agents embedded into Fusion Cloud Applications across finance, HR, supply chain, and customer experience. These agents automate business processes, surface actionable insights, and can be extended or newly built by customers using the Oracle AI Agent Studio. The platform also includes the Oracle AI Agent Marketplace, making it easy to find and deploy validated, partner-built AI agents to enterprise environments.
• AI Agent Marketplace: Validated agent templates from a global network of certified partners deployed within the Oracle Fusion AI Agent Studio to help accelerate the automation of complex business challenges.

Outsystems

• AI Agent Builder: Streamlines the end-to-end lifecycle of building, managing, and scaling enterprise-ready AI agents directly from the OutSystems low-code environment.

PagerDuty

• PagerDuty AI Agent Suite: PagerDuty’s AI Agent Suite automates the entire incident lifecycle to improve reliability and reduce downtime. Its agents —SRE, Scribe, Shift, and Insights —analyze patterns, transcribe collaboration, optimize scheduling, and deliver proactive recommendations. Together, they accelerate response by up to 50% and enhance resilience across enterprise digital operations.

Palo Alto Networks

• Prisma AIRS: Detects and remediates threats to AI agents at runtime—such as prompt injection, data leaks, tool misuse, memory poisoning, and malicious URLs—by observing and controlling the behavior and data flows of agents and LLMs. Agents are integrated with security policy and threat analytics for end-to-end protection and incident response in AI-driven environments.

Pega

• Pega Agent Experience: Work within the Pega Infinity platform to automate workflows, handle customer queries, process documents, and dynamically optimize business decisions. These agents proactively resolve inbound issues, offer generative summaries, power chatbots and voicebots, monitor outcomes, and adapt based on real-time analytics. Their secure, enterprise-ready AI is designed for regulated industries and complex enterprise environments.

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Qualtrics

• Qualtrics Experience Agents: Brand protection by detecting friction and resolving issues with actions that safeguard relationships and keep a brand strong.

Rapid7

• Rapid7 Agentic AI: “Unifies exposure management, threat detection, and response through Agentic AI workflows trained on playbooks built by Rapid7’s SOC experts and refined through years of MDR operations. Integrated within the Rapid7 Command Platform, it analyzes and takes action on customer data with transparent controls and consistent oversight. This allows security teams to operate within a closed-loop feedback model and automate triage with 99.93% accuracy, saving over 200 hours per week in SOC operations.” – Laura Ellis, VP of Data and AI

RingCentral

• AI Agent Assist: Provide in-the-moment answers during live customer conversations.

Salesforce

• Agentforce 3: Build, deploy, and manage AI agents at scale. Includes AgentExchange (AI agent marketplace), AI for Business (AI in CRM)

SAP

• Joule AI Copilot and Agents: Joule omnipresent agent, plus 15+ new agents across HR, finance, procurement, supply chain, and CX
• Generative AI Hub: Experiment with models and orchestration to scale AI apps and agents.

ServiceNow

• AI Agents: Proactively solve problems in IT, customer service, HR,
• AI Agent Studio: Create, manage, or test AI agents.

ServiceTitan

• AI Voice Agent: Automates phone and chat-based customer interactions in field service businesses, handling bookings, scheduling, and appointment reminders using natural language understanding.
• Titan Intelligence: Recommendations, automation, and analytics to help businesses optimize performance, conversion rates, and operations.

Shopify

• Sidekick and Magic: These agents help merchants generate product descriptions, blogs, SEO metadata, internal links, social media posts, and newsletters. The agents analyze store catalogs, automate content, and support customer purchase journeys via conversational chat interfaces on storefronts.

Snowflake

• Snowflake Data Agents / Cortex AI Agents: Empower enterprise users to search, summarize, and analyze data in natural language, automate data operations, and power conversational interfaces within the Data Cloud.
• Cortex AI: Turn conversations, documents, and images into intelligent insights. Access industry-leading LLMs at scale directly in SQL or via APIs, analyze multimodal data, and build agents.

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Sutherland

• Insurance AI Hub – Sutherland’s Insurance AI Hub is an agentic AI ecosystem built for insurers, trained on real workflows and regulatory requirements. It features modular AI agents for claims, underwriting, servicing, and renewals, enabling scalable automation with human oversight and auditability. The Hub improves efficiency, reduces leakage, and ensures compliance with SOC 2, HIPAA, and NAIC standards, helping insurers move from pilots to measurable, enterprise-grade AI outcomes.

Tanium

• Tanium Ask Agent: Transforms how administrators manage and secure their environments. Provides high-impact actionable insights that empower rapid, automated responses with human-in-the-loop control.

Terradata

• AgentBuilder and MCP Server: Build and manage autonomous AI agents with trusted data, domain expertise, and hybrid deployment flexibility.

UiPath

• Medical Referrals Processing: The agent automates healthcare referral management by classifying referral documents, creating or updating patient records, verifying insurance eligibility, submitting prior authorizations, and coordinating provider communication and scheduling. It works with human oversight to reduce manual steps and ensure referrals move efficiently through each stage.
• Accounts Payable Processing: The agent reviews and processes accounts payable invoices by detecting errors, missing data, or mismatches. It reasons through exceptions, drafts communications to vendors or colleagues for clarification, and can autonomously resolve straightforward issues. When context is unclear, it escalates to a human. All actions and reasoning are logged for transparency and audit purposes.

Verint

• Verint IVA Studio: A low-code, collaborative conversational AI design environment. It features a drag-and-drop, visualized user environment that enables users to design, launch, and fine-tune their virtual assistants in-house. This user interface also features pre-built, industry-specific AI assistants so organizations can quickly launch their bot and integrate with their other systems. Users can monitor their virtual assistant’s performance through real-time reporting dashboards to improve performance and measure results.
• Verint Knowledge Automation Bot: Provides agents with instant, accurate answers to their service-related questions. Instead of returning a list of search results, it uses generative AI to summarize the most relevant information in real time, delivering a concise, actionable response from approved content sources. This reduces average handle time and boosts agent capacity. It’s fully compatible with any agent desktop, requiring no migration, re-curation, or re-architecture of existing knowledge content.

Wiz

• WIZ SmartAgent: Powers call centers and customer engagement platforms with generative AI agents. These agents automate more than 90% of service requests, interact in human-like natural language, and seamlessly hand off to human agents for escalations. Features include onboarding with LLMs, scenario-based training, and continual learning from live data.

Workday

• Illuminate Agents: Suite of AI agents for finance and HR. Includes BP Optimize Agent, Contingent Sourcing Agent, Contract Intelligence Agent, Contract Negotiation Agent, Financial Audit Agent, Frontline Agent, Payroll Agent, Planning Agent, Recruiting Agent, Revenue Contract Agent, Self-Service Agent, Supplier Contract Agent, and Talent Mobility Agent
• Workday Contact Intelligence Agent: Has 120+ pre-built models trained to identify key clauses, risks, line items, and terms in contracts — from HR agreements to vendor contracts to sales deals.

Zendesk

• Zendesk AI Agents & Copilot: Advanced, autonomous bots designed for customer experience; they address inquiries via chat, email, web, SMS, and WhatsApp. These agents leverage generative AI to provide instant, knowledge-based resolutions to common customer issues, and can be configured as Essential (simple generative replies) or Advanced (hybrid flows, APIs, orchestration, analytics). The Zendesk AI Copilot augments human agents with suggested replies, smart search, ticket summarization, and predictive routing using AI-powered intent, sentiment, and triage.

Zoom

• Virtual Agent: Delivers next-generation self-service and omni-channel support via conversational AI bots that autonomously resolve customer issues across chat and voice channels. Built on Zoom’s AI-first platform, it utilizes agentic skills like real-time reasoning, memory, and action-taking to resolve complex problems end-to-end. 
• AI Companion 3.0: Provides generative AI-powered meeting summaries, chat responses, workflow automation, and even allows for building custom AI agents across enterprise workflows.

Zscaler

• Zscaler AI: A collection of AI-driven security tools to protect digital enterprises, now including agent-centric features such as the Zscaler Integrations MCP Server.