Duvo Enterprise Browser vs First-Gen AI Browsers. Here’s What Enterprise Security Actually Requires

Enterprises want the productivity upside of agentic automation, but they’re being forced into a bad tradeoff:

• First‑generation AI browsers move fast—but weaken security controls inside authenticated sessions.

• Traditional enterprise automation (RPA and IT-heavy integrations) can be secure and governed—but is often slow, brittle, and expensive to deploy across real-world workflows.

• Duvo Enterprise Browser is built for the middle path: fast automation inside and across existing systems with enterprise-grade security and governance, without requiring heavy IT integrations.

First-generation AI browsers like OpenAI Atlas achieve only 5.8% phishing block rates versus 47–53% for standard browsers, prompting Gartner to recommend enterprises “block all AI browsers for the foreseeable future.” With 27.7% of enterprises already exposed through shadow IT adoption, security-first alternatives must address the architectural failures—while still delivering real productivity in production.

AI browsers are moving fast. Enterprise security requirements are not optional.

What's changing

A new category of browsers is emerging: AI browsers (agentic browsers) include an AI sidebar plus the ability to autonomously navigate sites, click buttons, and complete workflows while logged in.

For consumers, that can look like a productivity boost. For enterprises, it changes the security model in a fundamental way:

• The browser becomes an autonomous actor inside authenticated sessions

• Untrusted web content can become instructions (via prompt injection)

• The risk of data leakage increases when browsers send page context, tabs, or history to cloud AI backends

This is why Gartner issued unusually blunt guidance: block AI browsers “for the foreseeable future.”

At the same time, security leaders can’t ignore the adoption curve. Cyberhaven found that 27.7% of enterprises already have at least one employee who downloaded ChatGPT Atlas.

So the real enterprise question is no longer “Will employees use these tools?”
It’s: What does secure, governed AI-powered automation look like in production—fast enough to matter?

Introducing Duvo Enterprise Browser

Duvo Enterprise Browser is the secure execution layer for AI automation across web-based systems—especially the ones with limited APIs, brittle integrations, or workflows that span multiple applications.

Instead of giving employees a consumer AI browser and hoping policies hold, Duvo runs work inside a governed automation environment where:

• browser sessions are ephemeral and isolated

• access is role-scoped

• credentials are encrypted and never exposed to the agent

• sensitive actions can require human approval

• every run produces audit trails and evidence

Why Duvo Enterprise Browser exists: the fast and secure AI automation across existing systems

Duvo was built because enterprises need something neither first-gen AI browsers nor traditional RPA consistently delivers:

1) Much faster automation inside and across existing systems

Duvo is designed to automate real workflows across the web apps you already use—without waiting on long integration cycles.

• No heavy IT integration work just to get started

• No dependency on brittle, bespoke API coverage

• Works across multi-application workflows (the messy reality of enterprise operations)

2) Secure by architecture, not policy documents

Duvo is built so security teams can treat agentic automation like any other enterprise capability: identity-scoped, policy-controlled, auditable, and reviewable.

3) Practical in production (not just in demos)

Duvo is focused on a production-grade execution layer where you can run governed automation at speed—with controls that hold under real adversarial conditions.

How Duvo Enterprise Browser works

1) Ephemeral remote browser sandboxes

Duvo UI automation runs in ephemeral remote browser sandboxes, not on the end-user device. Sessions are isolated per task.

Why this matters:

• Reduces persistent-session risk

• Contains compromise to a single run

• Improves auditability (runs have consistent evidence capture)

2) Encrypted credentials the agent can’t read

Duvo’s Credentials feature stores secrets securely (AES‑256 encryption) and is designed so the agent does not “see” credentials in its context. Instead, it uses a secure tool to fetch and fill credentials for the relevant domain.

Why this matters:

• Less exposure to prompt injection attempts that try to trick an agent into revealing secrets

• Cleaner separation between “reasoning” and “secret handling”

• Practical support for 2FA/TOTP workflows when required

3) Guardrails, approvals, and an Activity Inbox for human-in-the-loop

Duvo supports human input via an Activity Inbox where agents ask for the specific approval or information needed to continue.

Why this matters:

• High-risk steps don’t execute silently

• Reviews are centralized (one place to approve/deny)

• Approvals can be logged for audit

4) Audit trails and evidence capture

Duvo browsing is designed to capture evidence (e.g., screenshots) and provide audit trails around agent actions.

Why this matters:

• Faster incident response and forensics

• Stronger compliance posture

• Less “black box” behavior

5) Enterprise security posture and AI provider controls

Duvo documents a security and privacy program including SOC 2 Type II, encryption standards, RBAC, auditability, and a model-provider posture that can include Zero Data Retention mode (e.g., for Anthropic API calls).

What’s broken in first‑generation AI browsers

Enterprise security teams don’t need more hype—they need defensible controls. Today’s first-gen AI browsers are being challenged on predictable fault lines:

1) Weak real‑world protection against malicious pages

LayerX reported phishing/malicious page resistance results where ChatGPT Atlas blocked 5.8% and Comet blocked ~7%, compared with Edge at ~53% and Chrome at ~47% in their testing.

Even if you debate methodologies, the directional problem matters: agentic automation increases blast radius if baseline web protection is weaker.

2) Prompt injection becomes an execution-layer vulnerability

Security researchers at Brave demonstrated indirect prompt injection techniques against agentic browsers, including injections via screenshots and page content that the AI assistant interprets as instructions.

OpenAI’s Chief Security Officer publicly acknowledged the challenge after Atlas launched: “Prompt injection remains a frontier, unsolved security problem…”

3) “Trust chain” failures remove human instincts from the loop

Guardio Labs showed scenarios where an AI browser can “smooth over” warning signs—so the human never sees red flags they’d normally catch.

Their conclusion is blunt:
“Human intuition to evade harm is excluded… AI becomes the single point of decision.”

That’s precisely why enterprises require approval workflows and human-in-the-loop for sensitive actions (payments, account changes, data exports, etc.).

4) Persistent memory and session state increase the impact of compromise

A major concern with agentic browsing is persistence: if an attacker can corrupt what the agent “remembers,” they may influence future actions.

The Hacker News reported a LayerX-described exploit concept in which “tainted memories” could persist across devices, sessions, and even different browsers unless explicitly cleared.

5) Early signals of insecure token storage (environment-dependent)

CyberScoop reported that an early Atlas tester observed OAuth tokens stored in a way that appeared queryable on macOS (file permissions / keychain encryption behavior), while also noting mixed reports from other users.

The important enterprise takeaway isn’t one implementation detail—it’s this: consumer products ship fast; enterprises need provable controls.

Why traditional RPA isn’t the right default answer to AI-powered browsing

RPA and integration-heavy automation programs can be the right choice for certain workflows, but they often fail the “enterprise reality test” for AI-powered browsing use cases:

• Time-to-value can be slow: designing bots, handling exceptions, building/maintaining selectors, provisioning runtime infrastructure, and coordinating IT approvals can stretch timelines.

• Brittleness is common: when UI changes, flows break; maintaining at scale becomes its own operational burden.

• Cross-system workflows are where costs balloon: the more apps, steps, and edge cases, the more build + maintenance effort accumulates.

• Governance doesn’t equal usability: if automation takes too long to deliver, shadow IT fills the gap—often with consumer AI browsers.

Duvo is designed to preserve what enterprises want from RPA (governance, auditability, control) while removing the biggest blocker: heavy integration and slow deployment cycles.

Architecture comparison: Duvo vs first‑gen AI browsers vs RPA

Enterprise AI Browser Decision Framework: Gartner Recommendations

Gartner's guidance for enterprises evaluating AI browsers is clear:

For Most Organizations: Block AI browsers entirely until the security architecture matures. The risk profile is unacceptable for regulated industries and any organization handling sensitive data.

For High-Risk-Tolerance Organizations: If you must enable AI browsing capabilities, require:

1. Enterprise-managed identity (no personal accounts)
2. Complete audit trails (not 11% visibility)
3. Policy-based approval workflows (not autonomous execution)
4. Zero persistent memory (not cross-session continuity)
5. Compliance-ready architecture (not bolt-on security)

This is not a choice between AI browsing and security. It is a choice between consumer-grade architecture designed for demos and enterprise-grade architecture designed for production. Understanding the automation implementation costs and ROI of security-first versus vulnerable solutions clarifies the true total cost of ownership.

Sources:

Gartner warning:
https://www.computerworld.com/article/4102569/keep-ai-browsers-out-of-your-enterprise-warns-gartner.html
https://www.theregister.com/2025/12/08/gartner_recommends_ai_browser_ban/

OpenAI Atlas announcement:
https://openai.com/index/introducing-chatgpt-atlas/

Adoption data:
https://www.cyberhaven.com/blog/browser-agent-security-risk-chatgpt-atlas

LayerX phishing / malicious page resistance:
https://layerxsecurity.com/generative-ai/chatgpt-atlas-risks-and-vulnerabilities/
https://thehackernews.com/2025/10/new-chatgpt-atlas-browser-exploit-lets.html

Brave security research:
https://brave.com/blog/unseeable-prompt-injections/

Guardio Labs research:
https://guard.io/labs/scamlexity-we-put-agentic-ai-browsers-to-the-test-they-clicked-they-paid-they-failed

LayerX GenAI data exfiltration stats:
https://layerxsecurity.com/blog/ai-is-now-the-1-data-exfiltration-vector-in-the-enterprise-and-nobodys-watching/

Token storage reporting :
https://cyberscoop.com/openai-atlas-splx-research-cloaking-attacks-browser-agents/