What is an agentic browser? Features and how to use them safely

Agentic browsers use AI to help you automate browser-based busywork, such as filling out forms, researching topics, comparing booking prices, meal planning, and scheduling. The AI agents behind them interact with websites and perform tasks step by step, similar to a regular user.

However, since this is still emerging tech, agentic browsers are vulnerable to prompt injection, phishing, and various other attacks. They’re also prone to “hallucinating” outputs like other AI assistants and chatbots.

In this guide, we’ll break down how agentic browsers work, what features they usually include, and the pros and cons of using them. We’ll also take a look at the best options available, the privacy and security risks, and a hefty list of tips to reduce them.

What is an agentic browser, and how do they work?

An agentic browser can perform actions on your behalf, such as opening pages, clicking buttons, filling out forms, and finishing multi-step tasks like bookings, reservations, price comparisons, and more based on your instructions.

Typically, you’ll use a chat sidebar to type in or say what you want it to do, such as:

• “Go through my Gmail and find any subscriptions I can cancel.”
• “Find me the best prices for a flight to New York next Monday and show me the top 3 options.”
• “Fill out this checkout form using my saved details.”

To achieve all this, they use large language models (LLMs) and natural language processing (NLP) to interpret your instructions, read the content of a page, and decide what to do next. The AI agent interacts with the site like a user would, while keeping track of your goal and adjusting as the task changes.

Most agentic browsers also ask for confirmation before risky actions such as making payments, sending messages, posting on social media, or submitting sensitive data. Some browsers let you adjust these checks depending on how much control you want to keep.

Are agentic browsers and AI browsers the same thing?

While there’s some notable overlap between agentic browsers and AI browsers, they’re not the same thing. An AI browser usually adds features like summaries, writing help, or a chat sidebar, while you still handle the browsing and decision-making yourself.

Meanwhile, an agentic browser goes further by carrying out steps for you across multiple pages. So instead of only summarizing a hotel page, it can compare dates, check prices, and start a booking process, while still asking you to confirm key actions.

Basically, if it can click, search, complete tasks on its own, and learn from your feedback and preferences, you’re dealing with an agentic browser.

What are some key features of agentic browsers?

The main draw of agentic browsers is their ability to handle boring tasks with relative independence, so you can focus on something else. Here are some key features that help them do their jobs more effectively:

• Autonomous task execution: Agentic browsers carry out multi-step actions like booking, form filling, or research without requiring constant input. They plan out their steps, then carry them out from site to site.
• Web navigation control: The system opens pages, clicks elements, switches tabs, and interacts with interfaces as a user would, all while keeping track of the overall objective.
• Context across pages: They maintain awareness of open tabs, past actions, or current page content, which helps them stay on task without restarting from scratch each time.
• Connected apps and data access: Many options link with services like email, calendars, or documents so the browser can pull details, summarize information, or schedule actions.
• User review and control steps: Most systems pause before sensitive actions and show planned steps or summaries so you can approve or adjust what happens next.
• In-browser AI assistant layer: A chat-style sidebar lets you ask questions, get summaries, and give commands based on the page you’re viewing.
• Memory and personalization: Some browsers store browsing context or user preferences to improve future responses and reduce repeated instructions over multiple sessions.

What are the pros and cons of agentic browsers?

Agentic browsers can seem convenient at first (anyone who’s had a flight reservation page refresh after filling out a million fields can relate). But theoretical time-saving aside, there are some serious drawbacks to consider, mainly tied to security, cost, and resource usage.

Let’s go through the supposed benefits and the very real downsides.

Pros

• Automated tasks: Bookings and reservations, comparing prices, filling out forms, shopping, the works—you’ll often see these mentioned on agentic browser landing pages.
• Less busywork: You can offload tedious steps like digging through emails, checking availability, or gathering links for research.
• Page summaries: Instead of opening five articles to find one detail, you can get a quick breakdown first. This makes it easier to filter out fluff and focus on pages that actually answer your question.
• Less tab clutter: You don’t need to keep 20 tabs open just to track one task. Some agentic browsers group steps into sessions or categories, so you can pick up where you left off without losing the thread.
• Built-in ad removal: Some agentic browsers block ads by default for a cleaner browsing experience, though a free ad-blocker does the job without a subscription.
• Personalized navigation: The browser can learn what you search for and how you shop or research, then suggest what to do next. That can save time, but it also means the browser pays close attention to your habits.

Cons

• Less user control: The browser may choose what to click, what to summarize, and what to ignore. If it misses something important, you might not notice until the task goes wrong or you get incomplete results.
• Weak grasp of context: AI can misunderstand tone, personal preferences, or what you meant by “best” or “cheap.” It might pick options that look correct on paper but feel wrong once you see the details.
• Increased attack surface: A browser that can log in, fill forms, and interact with accounts gives attackers more ways to cause damage. If someone tricks the agent, it can leak data or take actions you never intended.
• More user tracking: To work well, these browsers often store session history, searches, and task context. That creates a detailed record of what you do online, especially if you connect your email, calendars, or shopping accounts.
• High monthly fees: Agentic browsers are either subscription-only (e.g., Opera Neon), require payment for agentic features (e.g., Gemini in Chrome, ChatGPT Atlas), or have limited free plans (e.g., Perplexity Comet). If you’re a heavy user, you can easily burn through credits and end up pushed toward higher-tier plans that can reach $200+ per month.
• Resource drain: Even if the AI runs in the cloud, the browser still needs extra processing for page analysis and automation. It may keep more tabs active, use more RAM, and slow down weaker laptops or phones.

What is the best agentic browser?

The best agentic browser depends on several factors: which platform you’re using, what you need it to do, and where you’re located.

Platform and local availability

As of April 2026, Atlas is only available on macOS, with Windows, iOS, and Android versions listed as coming later. Neon works on macOS and Windows, and Opera plans to bring it to mobile in the future. Meanwhile, Gemini in Chrome runs on desktop (Windows and macOS) for Google AI Pro and AI Ultra subscribers in the US.

Comet is already available on Mac, Windows, iOS, and Android, so that gives it a slight edge if you want agentic capabilities on the go. For the time being, at least.

Use cases and strengths

In terms of use cases, Comet works well for research, inbox work, groceries, and trip planning. Atlas integrates ChatGPT directly into browsing so it can explain pages, rewrite text, and act on what you’re reading in context.

The same goes for Gemini in Chrome when you use its new “auto browse” feature, which also asks for confirmation for sensitive stuff like payments or social posts. Meanwhile, Neon focuses on completing simple multi-step tasks like bookings or orders, and bundling complex workflows into useful shortcuts called “Cards.”

In practice, their functions overlap, since they can all research pages, summarize content, fill out forms, or handle tasks. They’re all around $20/month for the “Pro” plans with unrestricted agentic capabilities, so they’re not cheap to try out, either.

Of course, another thing they have in common is their susceptibility to prompt injection attacks, falling for common phishing scams, and other risks, which we’ll detail below.

Risks and attacks targeting agentic browsers

Agentic browsers add AI that clicks, types, and takes actions inside the browser. That same control creates new ways for attackers to trick the system, leak data, or trigger actions you never intended during normal browsing:

• Prompt injection attacks: Attackers can hide instructions in pages, HTML, or on-screen elements and push the agent to leak data or run actions you never asked for.
• Automation mistakes: While humans can always stop and correct mistakes mid-task, an AI agent can click the wrong button, fill in the wrong field, or continue in the wrong tab. A small parsing error along the way can turn into the wrong booking, message, or form submission.
• Potential data leaks: The browser may expose emails, login details, or past actions when it reuses information across tasks. If an attacker gains control of a session, they can pull this data without direct access to your accounts.
• Phishing scams: Fake login pages or emails can lure the agent into entering credentials or sending sensitive data. Since the browser acts on instructions, it may not always distinguish between real and lookalike pages.
• Supply chain risks: Third-party tools, APIs, extensions, or workflow modules can introduce malicious code or instructions. In systems like Opera’s Cards or similar agent “skills,” a compromised template or integration can inject unsafe instructions into tasks.

Further reading: The privacy risks of generative AI

How to use agentic browsers safely

We’ve covered how to use AI safely before, but it’s worth reiterating a few key points and adding new ones to cover the emerging agentic automation.

Data logging and privacy settings

• Check the company’s privacy policy: See whether the browser uses your history, chats, or connected apps for training, retention, or product improvement, and whether it keeps data local by default or sends it to the cloud.
• Turn on the strictest privacy settings: Turn off memory and activity retention where possible, and only give page visibility or connected-app access when a task actually needs it.

Account access and permissions

• Limit what the agent can access: Only connect email, calendars, and payment info if you truly need it. More access means more damage if something goes wrong.
• Avoid auto-checkout and saved payments: Don’t let the browser complete purchases without review. Confirm cart contents, prices, shipping, and payment method manually.
• Use a separate profile when possible: If the browser supports profiles, keep agentic automation in a separate profile from banking and work logins. If it doesn’t, avoid giving it password manager access and don’t run high-stakes tasks through it.
• Turn off memory for sensitive tasks: If the browser stores context, it can store private details too. Disable memory when handling health info, legal issues, or anything tied to your identity.
• Review execution plans when available: Some agentic browsers show a planned sequence before they act or a live view while they run. Check this before the agent starts so you know what it intends to do, especially for actions like purchases, form submissions, or account changes.

Safe browsing habits

• Watch for hidden instructions: Any website can contain malicious AI prompts, so treat them all as untrusted input. OWASP ranked prompt injection as the #1 LLM security threat for 2025, and companies like OpenAI have stated that it’s likely impossible to just patch out.
• Double-check form submissions: Agents can paste the wrong info into the wrong fields. Review anything that includes addresses, phone numbers, tax data, or account details before sending.
• Be careful with links from emails and DMs: Agents can follow phishing links the same way humans do. Open unfamiliar links manually and verify the domain before logging in.
• Use confirmation prompts every time: Keep safety prompts enabled, even if they slow you down. They stop the agent from posting, paying, or submitting sensitive forms too fast for you to intervene.
• Enable MFA or 2FA on linked accounts: Using an authenticator app for important logins (especially ones used by your agentic browser) makes it harder for attackers to break in.

Third-party tools and updates

• Avoid third-party templates and “Cards”: Treat community-published workflows like you’d treat unknown browser extensions. A malicious Card or automation script can inject unsafe instructions into tasks.
• Keep the browser updated: Agentic browsers evolve fast, and attackers move fast too. Updates patch automation exploits, extension flaws, and security gaps.

Are agentic browsers worth the trouble?

Agentic browsers make the most sense when you’re stuck repeating the same clicks over and over again. Things like digging through settings menus, updating records in bulk, or working through clunky SaaS tools feel easier when something else handles the steps for you.

They also work well when you need more than just summarizing pages. Agentic browsers can open all the sources they find, compare options, and carry that context into tasks like filling out forms or logging info into other tools.

Unfortunately, once you have to work with sensitive data, payments, or more complex tasks, you may end up babysitting the agent more than it takes to just do the whole thing yourself. Add prompt injection, AI phishing scams, and the fact that they can “hallucinate” information to the mix, and you start to see the cracks.

If you have the money to spare and don’t mind keeping the agent restricted to low-stakes tasks, they can be a fun little experiment. Otherwise, give it a couple of years for companies to iron out the kinks and improve security.

Or, until they figure out a way to make LLMs less compute-heavy (and GPUs don’t cost an arm and a leg), so you can run your own open-source AI agent locally.

What is an agentic browser? FAQs

Also read:

• Alternatives for Chrome in 2026
• What is OpenClaw? Is it safe to use?