Skip to main content
Original data

How Many AI Agents Are Actually SOC 2 Certified?

Security claims are easy to make and hard to compare. This data-led page tracks how many listed AI agents publish SOC 2 Type II attestation and which other security controls matter before procurement signs off.

Updated June 2026·Independently verified data

How many AI agents have SOC 2 Type II?

In the current MyPersonalAgent.ai dataset, only a minority of all listed personal AI agents publish SOC 2 Type II attestation. Among buyer-grade agents, SOC 2 adoption is stronger, but teams still need to verify HIPAA, ISO 27001, data retention, and training policy separately.

Top picks

  1. #1

    Adobe Firefly

    · Design / UI

    Best for professional creative workflows

    Adobe Firefly brings generative AI to professional creative applications with a critical differentiator: it's trained exclusively on licensed Adobe Stock content, public domain works, and expired copyright material, making it commercially safe for professional use. Generative Fill revolutionizes photo and vector editing by allowing non-destructive addition and removal of objects in Photoshop, Illustrator, InDesign, Adobe Express, and Lightroom—select an area, describe what you want, and Firefly seamlessly integrates new elements matching lighting, perspective, and style. Text Effects creates decorative text designs with photographic textures, materials, and effects that would take hours to create manually. Generative Recolor transforms vector artwork with AI-generated color palettes that understand color theory and harmony. The 3D compositing capabilities blend generated elements with 3D scenes in Adobe Dimension. Integration across Creative Cloud means Firefly enhances your existing workflows rather than replacing them. For agencies, studios, and enterprises, the commercially-safe training data eliminates legal risks, while the professional-grade results maintain Adobe's quality standards. Creative Cloud subscribers get Firefly included, making it a natural extension of professional creative toolkits.

    Typical cost: Bundled with Creative Cloud ($23/mo Photography, $60/mo All Apps, $80/mo for teams). Standalone Firefly: ~$5/mo Premium. Enterprise: included with Creative Cloud Enterprise contracts.

  2. #2

    ElevenLabs

    · Music Production

    Best for AI voice generation and text-to-speech

    ElevenLabs is the leading AI voice platform ranked #31 on the a16z Top 100 Gen AI Apps list, offering the most realistic text-to-speech and voice cloning technology available. The platform generates human-like speech with natural intonation, emotion, and cadence that is nearly indistinguishable from real human recordings. ElevenLabs supports 32 languages with voice cloning from as little as 30 seconds of audio, enabling content creators, audiobook publishers, podcasters, and game developers to generate professional voiceovers at scale. The Voice Library marketplace allows users to share and discover community-created voices. Beyond speech synthesis, ElevenLabs offers Projects for long-form audiobook production, Voice Design for creating entirely new synthetic voices from text descriptions, and a powerful API serving thousands of applications. The Dubbing Studio enables automatic video translation with lip-sync, making content accessible across languages while maintaining the speaker's voice characteristics.

    Typical cost: Indie creator: $6-11/mo Starter/Creator. Production studio: $99/mo Pro. Localization team: $299-990/mo Scale/Business. Healthcare with PHI: Enterprise contract with BAA.

  3. #3

    Glean

    · Productivity

    Best AI-powered enterprise workplace search across Slack, GDrive, Jira, and 100+ apps

    Glean is the leading enterprise AI work assistant — a search-and-answer engine that indexes your company's entire content footprint (Slack, Google Drive, Confluence, Notion, Jira, GitHub, Salesforce, Zendesk, and 100+ other apps) and lets every employee query it like a single brain. Where ChatGPT or Copilot work on the public internet or one Microsoft tenant, Glean grounds answers in your specific company knowledge with permission-aware retrieval — every employee sees only documents they're already authorized to access in the source system, no data leakage. Glean Assistant goes beyond search: it summarizes long docs, drafts responses citing internal sources, generates project briefs from scattered Slack threads, and acts as an onboarding tutor for new hires asking "who owns X?" type questions. The Glean Protect layer adds DLP policies and real-time sensitive-data classification, and Glean Agents lets engineering teams build custom AI workflows with company data as context. Pricing is sales-led (per-employee licenses scale by company size), but the platform commands a premium price because it solves the single most painful enterprise AI problem: getting reliable, sourced answers from internal knowledge that lives across dozens of apps.

    Typical cost: Enterprise per-employee licensing — typically $30-50/employee/year (mid-market) to $100+/employee/year (large enterprise). Glean Protect + Agents are additional.

  4. #4

    Zapier Central

    · Productivity

    Best low-code AI agent platform integrated with 7,000+ apps

    Zapier Central (formerly Zapier Agents) is Zapier's AI agent platform that lets non-developers build autonomous agents that act across the 7,000+ apps Zapier already connects. Define a goal in plain English ("every time a new lead enters HubSpot from the contact form, research them on LinkedIn, score them against ICP, draft a personalized first email, and post to Slack for review") and Central plans the multi-step workflow, calls the right Zapier connectors, runs the LLM for reasoning steps, and reports results. Where n8n and Browser Use target developers, Central is no-code-first — designed for the same buyer who builds Zaps but now wants AI-driven decision logic in those workflows. The agent layer is bundled with Zapier subscriptions — included on Pro at $19.99/mo (existing Zapier Pro pricing), expanded quotas on Team at $69/mo, and custom Enterprise. Central has rapidly become the default 'agent builder' for the long tail of business teams that already standardized on Zapier for automation but couldn't run agents until 2024-2025. Strong CRM, sales, marketing, support workflow library available.

    Typical cost: Free 100 tasks/mo for evaluation. Pro: $19.99/mo (most users). Mid-market team: $69/mo Team. Enterprise: custom (typically $5-50K/yr based on task volume).

  5. #5

    Parloa

    · Customer Support

    Best AI-native contact center platform for phone and digital channels

    Parloa is an AI-native contact center platform that replaces legacy IVR systems and traditional contact center infrastructure with intelligent voice and chat agents built from the ground up for the AI era. Unlike retrofitted tools that bolt AI onto existing phone trees, Parloa's architecture is designed with AI at the core, enabling genuinely natural phone conversations rather than menu-driven interactions. The platform's voice agents handle inbound calls with human-like dialogue, understanding open-ended requests, managing conversational context across turns, and completing service tasks such as appointment scheduling, account lookups, and complaint registration without transferring callers. Parloa's Agent Management Platform (AMP) provides a visual interface for designing, testing, and deploying AI agent workflows, including A/B testing different conversation designs to optimize completion rates. Enterprise features include deep telephony integration with major providers, compliance recording, real-time transcription, and supervisor monitoring dashboards. The platform supports 100+ languages, making it suitable for multinational contact center operations with diverse customer bases. Parloa's hybrid model routes conversations intelligently between AI and human agents based on complexity and customer preference, with seamless warm transfers that include full conversation context. The platform is particularly strong in regulated industries—insurance, banking, and healthcare—where it provides audit-ready conversation logs and configurable compliance guardrails. European data residency options satisfy GDPR requirements for EU-based operations.

    Typical cost: Custom enterprise pricing — typically $100K-500K+/yr Professional tier; Enterprise contracts scale by call volume + GDPR data residency requirements.

  6. #6

    Sierra

    · Customer Support

    Best end-to-end AI customer experience platform from a world-class founding team

    Sierra is an AI customer experience platform co-founded by Bret Taylor (former Salesforce co-CEO and Twitter board chair) and Clay Bavor (former VP of Google Labs), bringing exceptional leadership pedigree to the AI customer service space. Sierra's agents are designed to deliver complete, end-to-end customer experiences rather than simply answering questions—they take action across connected systems to resolve issues in a single conversation. The platform's agents are built with a strong emphasis on brand alignment and tone consistency, ensuring every customer interaction reflects the company's voice and values rather than sounding like a generic AI. Sierra uses a multi-LLM architecture that selects the best model for each task within a conversation, optimizing for accuracy on factual queries, reasoning on complex problems, and tone on sensitive interactions. The platform handles the full range of customer support scenarios: pre-purchase inquiries, order management, account changes, returns, troubleshooting, and subscription management. Sierra's conversational design tools allow teams to customize agent personalities, define escalation boundaries, and encode policies using natural language instructions rather than rigid rule trees. Built with enterprise trust requirements at its core, Sierra provides SOC 2 compliance, role-based access controls, and comprehensive audit logging. The company counts major consumer brands as customers, where high conversation volume and brand consistency are paramount.

    Typical cost: Outcome-based pricing — pay per resolved conversation. Typical mid-market enterprise commitment ~$100-300K/yr depending on volume.

  7. #7

    Salesforce Agentforce

    · Sales / CRM

    Best for enterprise-wide autonomous AI across all departments

    Salesforce Agentforce deploys autonomous AI agents across Sales, Service, Marketing, and Commerce departments, each specialized for domain-specific tasks while sharing unified customer context. Built on the Einstein 1 Platform with Data Cloud integration, Agentforce accesses real-time customer data from all touchpoints, enabling personalized interactions informed by complete customer history. Sales agents handle lead qualification by analyzing prospect behavior and fit, manage opportunity progression with intelligent next-step recommendations, and provide AI-driven forecasting based on pipeline health and historical patterns. The Prompt Builder allows administrators to customize agent behaviors using natural language instructions, defining how agents should respond to specific scenarios without coding. Deep integration with Slack enables team coordination, allowing human employees to collaborate with AI agents in shared channels for seamless hand-offs. Agentforce continuously learns from outcomes, refining its recommendations and automations based on what actually drives results in your specific business context.

    Typical cost: Per-conversation pricing (~$2 per Agentforce conversation) on top of Salesforce platform license. Salesforce Foundations free tier provides 200K credits to evaluate.

  8. #8

    Microsoft Security Copilot

    · Cybersecurity

    Best AI for Microsoft 365 / Azure-native SOC and IT teams

    Microsoft Security Copilot is Microsoft's enterprise AI for security operations, deeply integrated across the Microsoft Defender, Sentinel, Entra, Intune, and Purview product lines. Rather than a standalone tool, Security Copilot is a cross-product agent layer that lets analysts and IT admins query Microsoft's full security telemetry in natural language: investigate incidents in Defender XDR, build KQL queries in Sentinel, audit identity risks in Entra, manage device compliance in Intune, and resolve Purview data-loss incidents — all from one prompt-first interface. The pricing model is consumption-based via Security Compute Units (SCUs); Microsoft 365 E5 customers receive 400 SCUs/mo per 1,000 user licenses (capped at 10,000 SCUs/mo) included, and additional capacity can be provisioned. The platform also exposes pre-built AI agents — Phishing Triage, Conditional Access Optimization, Vulnerability Remediation — that work autonomously inside the Defender product surfaces. For organizations already on the Microsoft security stack, Security Copilot is the lowest-friction way to add agentic AI to a SOC; for organizations evaluating purely best-of-breed alternatives, the Microsoft tax (M365 E5 dependency) is the major adoption gate.

    Typical cost: M365 E5 customers: free baseline (400 SCUs/mo per 1K licenses). Mid-market beyond baseline: $20K-100K+/yr provisioned SCUs. Enterprise: custom annual contracts.

Why the number is lower than buyers expect

Many AI agents are early-stage products, open-source projects, or consumer-first tools that have not gone through enterprise attestation. SOC 2 coverage is concentrated in coding, customer support, productivity, and enterprise workflow categories.

What to cite

Use the State of Personal AI Agents 2026 report for the latest generated counts, percentage calculations, methodology, and downloadable CSV/JSON data.

Frequently asked questions

Does SOC 2 mean an AI agent is safe?+

No. SOC 2 is an important security control signal, but buyers still need to review product scope, retention, training policy, access controls, audit logs, and contract terms.

Where can I download the data?+

The State of Personal AI Agents 2026 page links to the generated JSON and CSV exports used for this analysis.

Not sure which agent fits?

Answer six questions and get a ranked shortlist matched to your use case, budget, security needs, and team size.