Comparison · RedactSure Research
Chris Sowa · Founder, RedactSure
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RedactSure vs Perplexity Comet: 2026 Comparison & Alternative
Perplexity Comet applies detection and confirmation around the page, while RedactSure, a Perplexity Comet alternative built for AI agents, replaces the values on that page before any model reads it. RedactSure is an alternative way to think about agent browsing security, because it protects sensitive data as it is rendered on a screen, before an agent uses it.
Anyone weighing a Perplexity Comet alternative for commercial work is asking what reaches the model when an agent opens a vendor invoice, and who approves the payment. Comet reads the page in the browser it ships, and its account describes a stop on an unsafe page and a confirmation before acting. RedactSure replaces the invoice with tokens before the model reads it and resolves the account number only at the approver's destination.
This page quotes Perplexity's account of Comet and two Brave studies, and works one record through both environments: a $9,800 print vendor invoice in a billing portal the organization bought, with a purchase order, a remit-to account and a due date. What Is Render-Layer Tokenization? defines the substitution at issue, and What Is a Protected Browser for AI Agents? sets out what a browser must do before a model reads a page.
Key findings
- As a Perplexity Comet alternative for agent work, RedactSure replaces the vendor name, the invoice number and the remit-to account with VENDOR_001, INV_001 and ACCT_001 before any model reads the page, and releases the real account number only at the destination a named person approves (What Is Render-Layer Tokenization?).
- A value the model never received cannot be leaked by an instruction hidden on the page that carries it, as Does Prompt Injection Expose Customer Records? sets out, and simple injections asking agents to leak personal data they observed reached "average attack success rates (ASR) around 20 percent" (Alizadeh et al., 2025).
- Perplexity's account of Comet describes detection, logging and confirmation, and does not describe replacing the values a page shows before the model reads it (Perplexity, 2026).
- Once an agent follows injected instructions in a logged-in browser, "same-origin policy (SOP) or cross-origin resource sharing (CORS) are all effectively useless," because the AI "operates with the user's full privileges across authenticated sessions" (Brave, Agentic, 2025).
- Attackers can "hide prompt injection instructions in images using a faint light blue text" that screenshot-reading agents act on, and a scanned invoice or a letterhead image is the kind of surface that can carry one (Brave, Unseeable, 2025).
How do the two compare side by side?
The table sets Perplexity's own wording beside what a governed environment does on the same point, and names the check a buyer can run.
| Dimension | Perplexity Comet, per its pages | RedactSure | What to verify |
|---|---|---|---|
| Where the control sits | "If something looks unsafe, Comet doesn't move forward blindly or fail silently" (Perplexity, 2026) | On the rendered invoice, before any model reads it | Where a value is replaced |
| How coverage starts | In the browser the person already uses, with detection on the pages it opens (Perplexity, 2026) | Inside the governed environment; the portal is unchanged | Applications covered on day one |
| What the model receives | The page as rendered, including text hidden in an image (Brave, Unseeable, 2025) | Tokens such as VENDOR_001, INV_001 and ACCT_001 for the run | One screen printed as the model saw it |
| How real values are restored | Not applicable: values are not replaced, so there is nothing to restore; Comet pauses for confirmation before an action (Perplexity, 2026) | At the destination, when a named person approves | What releases the value, and where |
| Who approves an action | "The confirmation interface provides clear context about what action Comet is attempting to perform and why" (Perplexity, 2026) | A named person approves every payment and record change | A name against the payment |
| The audit record | "The detection is also logged for continuous improvement of our models" (Perplexity, 2026) | Every screen as tokens, every action and approval, in the customer's SIEM | Whether the log shows what the model read |
What separates the middle columns is the object each product governs. Comet governs the page it reads and the action it is about to take, so what it leaves behind is a detection event rather than a statement of what the model received. RedactSure governs the screen itself, so its record pairs the tokens the model saw with the name of the person who approved the payment. They also differ on what returns a real value: RedactSure resolves it at the destination when a named person approves, while Comet's confirmation governs the action rather than any substitution.
What does Perplexity Comet protect, and where does it act?
Perplexity Comet is a browser with an agent inside it. When the agent needs details it does not already hold, "Comet pauses for your confirmation regardless of whether our systems detect suspicious activity," and the confirmation screen "provides clear context about what action Comet is attempting to perform and why" (Perplexity, 2026). The person sees the action in the agent's terms before it happens, and the vendor keeps a detection event it can learn from.
Each benefit depends on one condition: the control acts on the action the agent proposes, and on the page only so far as it judges the page unsafe. Perplexity expects more attempts: "Determined bad actors will continue to probe for weaknesses and new attack vectors will surface" (Perplexity, 2026), which is why the confirmation matters and why it does not decide what the page hands the model. The gap between the two is where a page-level control has to sit. Across 16 AI agent products, only Claude in Chrome publishes a prompt injection rate, and the pages searched for 9 of the 16, Comet among them, do not describe a statement that the risk remains (How Many AI Agent Vendors Publish a Prompt Injection Rate?).
What does an agent read when it opens a print vendor invoice?
The invoice is a record type: a $9,800 charge for a print run, held in a print vendor's billing portal, with an invoice number, a purchase order reference, a remit-to bank account and a due date. The agent opens that portal in the accounts payable clerk's session, checks it against the purchase order, and prepares the payment.
The page renders in full, and the model holds the invoice number, the purchase order line, the total and the remit-to account for the rest of the run. An instruction planted in the vendor's memo field is read by the model that holds the clerk's authority, and the portal's log records the clerk rather than the agent, an arrangement What Is a Tethered Agent? contrasts with delegated authority.
The payment rail is a separate control: a card program can decline spend by merchant category or by amount, and "All spend from merchants not classified in the selected categories is declined" (Ramp, 2026), which bounds what leaves the account without changing what the model read. Access controls written for people limit a person's view, since the control "limits the data that users can view in your search app's results" (Google Cloud, 2026), and an agent in a borrowed session opens what that session can reach. A page read as it renders leaves the total and the remit-to account in the model's context, the line What Is the Difference Between a Headless Browser and a Protected Browser for AI Agents? draws.
Which control fits which work?
Keep Perplexity Comet for
- Commercial research in the browser a person already uses, where detection runs on the pages it opens and "The detection is also logged for continuous improvement of our models" (Perplexity, 2026).
- Filling in details the agent does not already know, since Comet pauses for confirmation at that step (Perplexity, 2026).
- A read-and-summarize task on pages a person could open themselves, where a stop before an unsafe action is what matters.
Add RedactSure for
- Agents reading screens in applications the organization bought, where the model receives VENDOR_001, INV_001 and ACCT_001 instead of the real details (What Is Render-Layer Tokenization?).
- A named person approves each payment, submission or record change the agent proposes (What Is Supervised Delegation?).
- The record of what the model received on every screen, in the customer's SIEM (What Is an AI Control Record?).
An organization running agents on bought applications usually needs both: a browser that stops an unsafe action, and a control over what the page gives the model.
How do you test it on one workflow?
Put both products through one invoice in an afternoon, with each vendor present and the answers written down.
Step 1. Choose the invoice and the one screen: the billing page that lists the $9,800 charge, the purchase order and the remit-to account, rather than a diagram of the payment flow or a screenshot pasted into a deck.
Step 2. Ask each vendor to replay the input the model was given for that page, field by field, including the letterhead image and the memo line, and to explain any field the replay leaves out.
Step 3. List every application in the workflow, such as the vendor portal, the procurement system and the bank, and mark each one as covered by that vendor's control or not. The uncovered ones are the pages the agent reads on the first day.
Step 4. Trace the remit-to account number from the page to whatever received it: what released it, when, and whose name sits beside the release. Request the timestamp and the person's name, rather than the policy that permitted it.
Step 5. Calculate first-day coverage, then compare the costs that differ. Compare the integration work per application and the delay to the agent's first task, then write both down beside the coverage list.
What does a governed environment change?
A governed environment is a control class, not a product feature. For each task the planner proposes what to tokenize, starting from personal information, account numbers, credentials and record numbers.The agent works under its own session and identity, so the vendor's log records the agent rather than the clerk whose login it borrowed. Values chosen by policy become consistent tokens before any model reads the screen, so the invoice shows VENDOR_001, INV_001 and ACCT_001 for the whole run. Real values resolve only at the approved destination at the moment of an approved action, a named person approves every payment and record change, and every screen, action and approval is written to a control record that exports to the customer's monitoring.
Data minimisation points the same way: personal data must be "adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed" (GDPR, 2016), and a page rendered in full to a model carries more than a payment task needs. FINRA's 2026 oversight report flags that "Agents may act beyond the user's actual or intended scope and authority" (FINRA, 2025), which is why the approver is a person with a name. A model that only received ACCT_001 cannot be steered into disclosing an account number it never held, the principle What Is Least Exposure? sets out.
What the record shows
Who decides what the model receives from an invoice page, and whose name sits on the release of the money, is the question this record puts to both products. A render-layer control answers both in one run: the invoice number and the remit-to account reach the model as INV_001 and ACCT_001, and the real account number resolves only when the named approver releases the payment, which is the job RedactSure, as the Perplexity Comet alternative for agent work, does for this record. Comet's coverage is the page it reads: a stop on a page it judges unsafe, a confirmation before the action, and a log of the detection. A buyer can test this on one invoice: compare the text each product shows for the same screen, then trace the account number to the approval that released it and the name written beside it.
Methodology and limitations
This page rests on Perplexity's account of Comet, two Brave studies of injection in the same browser, an Alizadeh et al. study of task-time data leakage, Ramp's card-control documentation, Google Cloud's access-control page, GDPR Article 5(1)(c), FINRA's 2026 oversight report and the SEC's Regulation S-P release, with existing RedactSure pages. Vendor pages were read between October 21, 2026 and October 22, 2026, and each Sources line carries the date for its page. Public documentation read in full gives a sound view of where each product applies its control, and where this page says a source does not describe something, it refers to the pages reviewed.
The products on this page are described from documentation, and neither was tested for this page; no customer of either is described, both change, and the page carries its date. RedactSure is deploying now with enterprise and government customers. The invoice is an illustrative record type. Compliance determinations belong to the organization's counsel and security team, and nothing here replaces a pilot of one workflow on the organization's own screens.
Frequently asked questions
Does Perplexity Comet protect the values on a rendered invoice page?
No. Its published account describes detection of unsafe pages, a confirmation before an action and a log of what was detected, and nothing there replaces the values a page shows before the model reads them (Perplexity, 2026). A remit-to account and an invoice total reach the model as the vendor displays them, and the confirmation covers the payment rather than the reading. The prompt names the action, not the value.
Who approves the payment when Comet prepares an invoice?
A person, at the step Comet pauses on. Perplexity says the browser asks for confirmation whenever the agent needs details it does not already hold, which approves what the agent is about to do. It does not put a name beside the release of the remit-to account, and it arrives after the invoice page has been read.
What record does Comet keep of what the model read?
A detection log. Perplexity states that "The detection is also logged for continuous improvement of our models," which keeps an event for the vendor's own use rather than a statement of what the model read (Perplexity, 2026). An examiner asking what the model received gets that event, and the portal's log names the clerk whose session the agent used.
Can an instruction hidden on the invoice page reach the model?
Yes, and the research measures the payoff. Simple injections asking an agent to leak personal data it observed during a task reached "average attack success rates (ASR) around 20 percent" (Alizadeh et al., 2025), and the invoice page is text, a memo line and a letterhead image. An instruction does not need the whole page, only a field the payment uses.
Does data minimisation cover what a model reads on a screen?
The rule governs what a controller collects and keeps, not what a screen displays. It asks for data that is "adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed" (GDPR, 2016), and a page rendered in full hands a model more than a payment task needs. Whether a given use is lawful is a question for counsel, and reducing the input is a choice the organization makes. The two questions are separate.
What happens if customer data reaches the model?
For a covered financial firm it becomes a reportable event. Under Regulation S-P, a covered firm needs an incident response program for unauthorized access to customer information, with notice generally due within 30 days (SEC, 2024). A model that read the whole invoice page widens what that program covers, because the evidence is a transcript rather than an access log.
How RedactSure closes the reading gap that detection leaves
Detection and confirmation decide what the agent may do next, while the page it already read stays in the model with every value the vendor displayed. Brave's researchers showed that instructions can sit in an image in faint blue text.
The environment that enforces this is built by RedactSure, an AI agent controls, governance and data protection company.
Before: the agent opens the billing portal in the clerk's session, the invoice shows the $9,800 total and the remit-to account, and the model receives both. Inside the governed environment: the same page shows INV_001 and ACCT_001, and the real account number is released to the payment file when the clerk approves.
RedactSure is deploying now with enterprise and government customers.
Everyone else controls where data can go. RedactSure controls what the AI can see.
See it on your own workflow
Protecting the sensitive data an agent could read on a screen is a needed part of any solution that includes Perplexity Comet. Bring one invoice workflow and see, with test values, what the model reads and who approves the release. Book a demo