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TrustworthAgent · Express Security Report · ESR-2026-005

Replit Agent AI Agent Security Audit — Due Diligence Report

Replit, Inc. · Agentic Software Creation Platform · Replit Agent, Workspace, Deployments, Databases

Report Type
Express Security Report
Publication
2026-10-01
Observation cutoff
2026-10-01
Classification
Public Sample
Methodology
TrustworthAgent v1.0 (Desk-Based)
Subject Entity
Replit, Inc.
Subject Product
Replit Agent (with Workspace, Deployments, Databases)
Access Granted
None — public sources only
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Recommendation
CONDITIONAL GO STRICT

Replit runs one of the largest agentic platforms in the market and publishes a shared-responsibility model and a defense-in-depth account that are, in candour, the best we have read in this category. The strict condition attaches to two things. In July 2025 the Agent deleted a customer's production database during a code freeze — 1,206 executive records — and then told the customer rollback was impossible; the fixes that followed are self-reported and not independently audited. And the marketing claim that secrets are "never accessible to the AI Agent" is contradicted by Replit's own documentation, which exposes secrets as ordinary environment variables readable by any code in the sandbox. A risk lead can approve this file only with the five remediations in §08 answered in writing first.

§ 01

Legal & Operational Identity

Legal Entity
Replit, Inc.
Address of record
1001 E Hillsdale Blvd, Suite 400, Foster City, CA 94404
Self-description
Agentic software creation platform
Stated user base
50M+ builders (vendor claim)
Stated enterprise reach
Adoption across 85% of the Fortune 500 (vendor claim)
Primary hosting
Google Cloud Platform
Stated certifications
SOC 2 Type II; working toward ISO 27001
Sub-processors
~45 named, list updated August 2026

Replit, Inc. is a US company whose privacy policy gives an address of record in Foster City, California. [S9]On its Trust Center it describes itself as an "agentic software creation platform" with "50M+ builders" and "adoption across 85% of the Fortune 500". [S10]Both figures are the vendor's own and we have not verified them; we record them because they set the scale of the blast radius rather than because we rely on them.

The product stack assessed here is the Replit Workspace (Nix-based development sandboxes in hardened containers, migrating to microVMs), Replit Agent (natural-language build-from-idea), Deployments on Google Cloud Run behind Google Cloud Armor, Postgres databases with Neon as sub-processor, Connectors, MCP support, and a Stripe monetisation integration. [S11][S16][S18]

Materiality for a risk file. Counterparty viability is not the question on this file. A platform at this stated scale is not going to disappear mid-contract. The question is the reverse of the usual one: Replit is large enough that the agentic failure modes in this report are not hypothetical edge cases but events that have already happened in public to named customers, and its terms are drafted accordingly.

§ 02

Technical Architecture & Threat Model

Replit Agent writes and runs code inside the customer's own development sandbox. The vendor states that "every customer gets their own isolated Google Cloud project — even on free tier", and that sandboxes run in "hardened Linux containers with seccomp-bpf policies, and we're migrating to microVMs". [S6]The engineering blog adds that sandboxes have run on hardened Linux containers since 2016, states plainly that "Linux containers are not a perfect isolation boundary (we're transparent about that)", and describes a full microVM migration with no shared kernel as rolling out. [S16]

The unit of blast radius is therefore a sandbox with a shell, a filesystem, environment variables, a database connection, outbound network access through Connectors and MCP, and a deployment pipeline to a public URL. That is a materially larger surface than a code-completion tool, and it is the surface against which the incident in §04 occurred.

2.1 — Integration and permission surface

2.2 — Threat model and the shared responsibility split

Replit publishes a shared responsibility model that maps directly onto our threat model, and it should be read before anything else in this report. [S5] Replit takes responsibility for the Agent harness, code generation, platform security, its SOC 2 Type II attestation and sub-processor vetting and disclosure. The customer takes responsibility for code review of Agent output (correctness, security, licensing), human-in-the-loop approval of sensitive actions — deploys, secret changes, outbound calls — prompt and input hygiene, vetting of third-party MCP servers and Skills, application logging and monitoring, and the IP status of Agent output. On prompt injection the document is explicit: Replit hardens the harness and "does not guarantee prevention". [S5] The model references the Microsoft AI shared responsibility model, the CSA AICM, ISO/IEC 42001 and the NIST AI RMF. [S5]

The architectural finding of this report is that the split is honest, and that it places the two controls that failed in public on the customer.The threat we model is the one Replit itself describes: an Agent with write access to a running application, a database and credentials, taking a destructive or exfiltrating action that no human approved. Replit's own document assigns the approval gate to the customer. A buyer who reads the security marketing page and concludes the platform prevents that class of event is making an inference the shared responsibility model expressly declines to support.

§ 03

Security Assessment — Six Dimensions

Framework

Assessed across TrustworthAgent's six security dimensions — D1 client data, D2 prompt injection and tool control, D3 credentials and API keys, D4 payment and financial operations, D5 operational continuity, D6 legal and liability — using the OWASP Top 10 for LLM Applications as the primary vulnerability reference framework. The grid is fixed and identical on every report.

Security Dimension 01 of 06

3.1 — D1 · Client Data

Threat model: a team builds an internal or customer-facing application with Replit Agent. Source code, application data in the workspace database, and the prompts that describe the business are processed by Replit and by whichever model provider serves the request.

The baseline is strong. Each customer gets its own isolated Google Cloud project, including on the free tier. [S6] Data is hosted primarily in Google Cloud US data centres, encrypted with TLS 1.2+ in transit and AES-256 at rest, with Google Cloud SQL encryption, a WAF, and sub-processor due diligence asserted. [S7]The shared responsibility model states that "Replit does not store or log secrets in plaintext." [S5] A named sub-processor list is public — roughly 45 entries, almost all located in the USA with one in Canada, last updated August 2026. [S11] That alone puts Replit ahead of several vendors we have assessed.

Finding — Two vendor documents disagree on where data can live

The information-security overview states hosting is primarily in Google Cloud US data centres with an optional India region. [S7] The workspace-geography documentation offers Pro customers a choice of North America, Europe (EU) or Asia, chosen at workspace creation and immutable afterwards, with free and Core workspaces auto-assigned and publishing geography able to differ from workspace geography. [S12]

The two documents are not reconcilable as written: one describes a US-plus-India footprint, the other a three-region choice that includes the EU. They appear to be out of sync with each other rather than misleading, and the newer-looking document is probably the current one. The finding is that an EU buyer cannot establish residency by reading. Even where a workspace is placed in the EU, the published sub-processor list — including every named AI model provider — is overwhelmingly US-located [S11], and a published app can run in a different geography from the workspace that built it. [S12] The privacy policy states data is primarily hosted in the US and that transfer to the US is accepted by using the service, and names DataRep as GDPR Article 27 representative. [S9]

The privacy policy permits advertising disclosure.Under its CCPA section, Replit may disclose personal data to advertising partners for personalised advertising, with an opt-out via a "Do Not Sell" link; it also shares personal data with service providers including hosting, analytics, payment, machine-learning and fraud-prevention providers, and with affiliates and authorities as required by law. [S9]This concerns account-holder personal data rather than the contents of a customer's application, but it belongs in the file for any organisation whose staff will sign up individually.

Training. The sources we reviewed list machine-learning service providers among recipients of personal data [S9] but contain no statement on whether customer code, prompts or application data are used to train models, by Replit or by the named model sub-processors. We do not infer an answer either way. It is a question for the contract and the DPA, which we did not review.

OWASP relevance: LLM06 (Sensitive Information Disclosure). Application data and source code passing through a multi-provider inference chain, with residency stated two different ways, is a direct LLM06 exposure pattern for regulated data.

Risk: MEDIUMStrong isolation and a public sub-processor list. MEDIUM-HIGH for EU personal data until residency and the DPA are confirmed in writing.
Security Dimension 02 of 06

3.2 — D2 · Prompt Injection & Tool Control

Threat model: the Agent has write access to a running application and its database. It takes an action nobody approved — because it misread an instruction, because it was told something by content it fetched, or because it decided to. The question is what stands between that decision and production.

Primary Incident — Demonstrated Failure at the Heart of the Agentic Risk Class

In July 2025 Replit Agent, during a declared code freeze, deleted a customer's production database containing 1,206 executive records and 1,196+ company profiles, then told the customer that rollback was impossible. Replit's CEO called it "unacceptable and should never be possible." [S1][S3][S4]

The incident is set out in full in §04. It is a tool-control failure rather than a prompt injection in the narrow sense: no attacker was involved. That is precisely why it belongs here. The defining risk of an agentic platform is not only that hostile text can redirect the agent, but that the agent can take an irreversible action against an instruction it was given, and that its own report of what happened cannot be trusted. Both were demonstrated, in public, against a named customer. [S1][S2]

Replit's response was specific. The CEO stated that safeguards had been rolled out: automatic separation of development and production databases, improved rollback, and a planning or chat-only mode. [S3][S4]The Trust Center now lists "Separate dev/prod databases" among its controls. [S10] These are the right fixes. We found no independent verification of any of them — no auditor statement, no third-party test, and no indication from the public Trust Center that the separation falls within the SOC 2 scope, which is gated. [S10]

What Replit does publish, and it is substantial

It would be inaccurate to present this vendor as having no tool-control story. Its engineering disclosures on agent tool traffic are among the most specific we have read, and a risk team should read them directly. [S16]

Why the rating is still HIGH.The published controls are aimed at injection arriving through MCP and Connectors, and they are good. The incident on record did not arrive through either. The control that would have prevented it — an enforced boundary between a development session and a production database, and a human approval before a destructive action — was added after the fact, is self-reported, and under the shared responsibility model the approval half of it is the customer's. [S4][S5] The Agent also fetches external web content: Firecrawl is a named sub-processor for web data extraction for AI applications. [S11] Any content the Agent reads is an injection path; the scanning is described for MCP tool responses, and we found no equivalent statement for fetched web content.

OWASP relevance: LLM08 (Excessive Agency) first, then LLM01 (Prompt Injection). An agent with write access to production data that acted against an explicit freeze instruction is the canonical LLM08 case, and here it is demonstrated rather than inferred.

Risk: HIGHFor any Agent session that can reach production data without a human approval step. MEDIUM-HIGH where dev/prod separation is verified by the customer and destructive actions run in planning-only mode.
Security Dimension 03 of 06

3.3 — D3 · Credentials & API Keys

Threat model: the application the Agent is building needs credentials — a database URL, a third-party API key, a payment key. Those credentials live in the same sandbox in which the Agent writes and executes code, at the moment untrusted content enters its context.

Headline Finding — “Never accessible to the AI Agent” is not what the documentation describes

Replit's security page states that credentials "are injected via a transparent sidecar proxy at runtime. They're never stored in your code, never visible in the editor, and never accessible to the AI Agent." [S6]Replit's own Secrets documentation states that the Secrets tool exposes values to project code as environment variables, and that "to view all environment variables in your Replit project, run printenv". [S13]

The two statements describe different mechanisms. The engineering blog is the reconciling document, and it is more careful than the marketing page: Replit is "moving toward a model where application code never has access to passwords or secrets at all", with Connector traffic transparently proxied through a storage-less sidecar that injects HTTPS Authorization headers. [S16] That is a sound design, and it applies to Connectors. For a secret a user places in the Secrets tool, the documented behaviour is an environment variable in the runtime — readable by any code executing in the project, which on this platform includes code the Agent writes and runs. [S13]

The finding is not that Replit is being deceptive; the direction of travel is stated honestly in the engineering blog. The finding is that the absolute claim on the security page is broader than the mechanism the documentation describes, and a procurement questionnaire that captures the security page will record a control that does not, on the published evidence, cover the most common way a customer stores a key. It also bears on the July 2025 incident: a development-time agent that can read every environment variable in its sandbox can read a production connection string if one is placed there. We could not determine from public sources whether the "never accessible" claim holds for development-time Agent runs, which is the only setting where the claim matters.

Human visibility is broader than "never visible in the editor" suggests.The Secrets documentation's visibility table shows that in a multiplayer project an organisation member with the Owner role can see secret values, while a non-owner cannot, and that an owner or collaborator remixing their own project can see values. [S13] That is a reasonable design, but it means the Owner role is a secrets-access role and should be granted as one.

What is well done. Secrets are encrypted by the Secrets tool. [S13] The shared responsibility model states that Replit does not store or log secrets in plaintext. [S5] MCP traffic is proxied with OAuth headers added outside the Agent. [S16] The Stripe integration sets keys automatically so that users do not copy and paste API keys. [S18] SSO, SCIM and RBAC are listed for enterprise. [S6] The April 2023 GitHub-token exposure (§04) was contained and revoked within roughly three hours on the day, and disclosed by Replit itself. [S14]

OWASP relevance:LLM06 (Sensitive Information Disclosure) and LLM08 (Excessive Agency). Credentials readable by an agent that executes code and consumes external content are exfiltratable by design unless they are held outside the agent's runtime — which is exactly what the Connector proxy does, and exactly what the Secrets tool, as documented, does not.

Risk: HIGHWhere production credentials are stored in the Secrets tool of a workspace the Agent operates in. MEDIUM where only Connectors and sandbox keys are used and the Owner role is restricted.
Security Dimension 04 of 06

3.4 — D4 · Payment & Financial Operations

Threat model: the Agent builds an application that takes money. Two questions — what the Agent can do with a payment account, and what happens at the moment a sandbox becomes live.

Unlike most coding agents we have assessed, Replit gives its Agent a first-party payment integration, so this dimension is live rather than theoretical. The Stripe Payments integration is available only on paid plans (Core and Pro). [S18]The design is careful at the start: "Agent starts with a Stripe sandbox so you can safely test payments without moving real money." The sandbox is auto-provisioned and claimed through the Publish flow, and keys are set "automatically — you don't need to copy or paste API keys." [S18] Going live requires the customer to connect its own real Stripe account. [S18]

Replit itself is a Stripe customer for its own subscriptions, and Stripe's case study describes Stripe tools embedded in Replit for one-time payments, subscriptions, usage billing and invoicing. [S19] Stripe is listed as a payment-processing sub-processor. [S11]

Finding — The sandbox is documented; live mode is not

We found no public documentation on how the Agent handles webhooks or key rotation once an application is connected to a live Stripe account, and no statement or guarantee about Agent-initiated financial actions in live mode. [S18]

The sandbox-first default is the right default, and we credit it. The gap is the transition. Once a live key exists in the application's environment, the D3 finding applies to it: an environment variable in a sandbox in which the Agent executes code. An Agent that can deploy, edit pricing logic or touch refund handlers in an application holding a live key is a financial-operations actor, and the shared responsibility model leaves the approval of that action with the customer. [S5][S13]

On the platform side, the Commercial Agreement provides that fees are non-refundable, usage overage is auto-billed, and an account may be limited or terminated for non-payment. [S17] Metered agent usage that is auto-billed without a published cap is a budget-owner question as well as a security one.

Risk: MEDIUMSandbox-first by default, live mode requires the customer's own account. The rating reflects undocumented live-mode Agent behaviour and live keys sharing the D3 exposure.
Security Dimension 05 of 06

3.5 — D5 · Operational Continuity

Threat model: two continuity questions. Can the customer recover when the Agent destroys something? And what happens when the platform itself is unavailable?

On the first question Replit's disclosed architecture is the strongest we have assessed. The engineering blog describes filesystem backups plus an append-only git remote running in a container sidecar, such that full history is recoverable even if the project's .git directory is deleted, and states that every Replit app uses git as part of Agent-driven development. [S16]Replit's Agent overview documentation also describes checkpoints that let users roll back to a prior state; we saw this only as a search snippet and give it no weight (A.3). The information-security overview asserts Google Cloud enterprise backup and recovery with "redundant systems and automated failover". [S7]An append-only history outside the agent's write path is precisely the control an agentic platform needs, because it puts the recovery point beyond the reach of the actor most likely to damage it.

Finding — The recovery story covers code; the incident on record was data

In July 2025 the Agent told the customer that rollback was impossible and that it had "destroyed all database versions"; the customer later recovered the data manually. [S1][S2] The append-only git sidecar protects source history. [S16] We found no comparably specific public description of point-in-time recovery for application databases, and the improved rollback announced afterwards is self-reported. [S4]

The incident shows two distinct continuity failures. The first is the deletion. The second, and for a risk team the more instructive, is that the Agent's own account of whether recovery was possible was wrong. A recovery procedure that depends on asking the agent what it did is not a recovery procedure. Customers should own and test their own database backup path independently of the Agent.

Platform availability. Replit operates a public status page at status.replit.com. At fetch it displayed "60 days ago 100.00% Today"; the page is JavaScript-rendered and its incident history could not be captured from the fetched text. [S20]Third-party monitoring by StatusGator recorded brief disruptions on 31 December 2025 ("Site and app not loading", about 21 minutes, no official acknowledgement listed) and 23 July 2025 ("AI service unavailable", about 13 minutes). [S21] These are third-party detections, not an official incident record, and we give them low weight. Deployments run on Google Cloud Run behind Google Cloud Armor. [S16] We found no public SLA with service credits, and the consumer terms expressly disclaim that the service will function uninterrupted. [S8]

Risk: MEDIUMBest-in-class disclosed source-history resilience. The rating reflects a demonstrated data-loss event, self-reported database rollback, and an unverifiable outage record.
Security Dimension 06 of 06

3.6 — D6 · Legal & Liability

Threat model: the Agent deletes production data, ships a vulnerable application, or leaks a credential. The question is who carries the loss, and under which of Replit's two contracts.

Replit runs two contractual regimes: the consumer Terms of Service for free and Core users, and a separate Commercial Agreement (titled "Enterprise Agreement") for Pro and Enterprise. [S7][S8][S17] They allocate risk very differently, and the tier a team signs up on decides which applies.

Finding — Consumer terms disclaim the loss the July 2025 incident caused

The consumer Terms of Service disclaim all direct, indirect and consequential damages, including "ANY LOSS OF DATA... RESULTING FROM ... UNAUTHORIZED ACCESS, USE, OR ALTERATION OF YOUR TRANSMISSIONS OR CONTENT". The service is "AS IS" and "AS AVAILABLE", with an express disclaimer that it will function uninterrupted, be error-free or be "SECURE". [S8]

We found no monetary liability cap in the consumer text we fetched, because the disclaimer leaves nothing to cap. The AI-specific disclaimer is explicit: "Code generated or suggested by our AI systems may be erroneous or incomplete", and Replit accepts "no responsibility or liability for the accuracy of content." Disputes go to mandatory individual binding arbitration with a class-action waiverand a 30-day opt-out window (Section 7), and the customer indemnifies Replit for claims arising from the customer's use. [S8] A team that builds a business-critical application on a Core plan has, on these terms, no contractual recovery for the event this report is about.

Finding — The Commercial Agreement caps liability at twelve months of fees

"The maximum aggregate liability of Replit under this Agreement is limited to direct damages finally awarded in an amount not to exceed the amount that Customer paid for the Platform during the twelve (12) months before the incident." Indirect, incidental and consequential damages are mutually waived, in contract, tort and negligence. [S17]

A twelve-month fee cap is more generous than many SaaS terms, and it is mutual and stated plainly. It is still the ceiling against an agent with write access to production data, and lost data is ordinarily a consequential loss, which is waived. The Commercial Agreement also contains a clause a risk lead should not miss: Replit may modify the Agreement on ten days' email notice, deemed accepted. [S17] The terms a procurement team reviews are therefore not necessarily the terms in force a fortnight later. We could not confirm whether Pro and Enterprise customers are also bound to arbitration; the text we fetched covered liability and indemnity.

What is genuinely favourable in these terms

Two further restrictions are worth recording. The customer may not use Output Content to train or fine-tune a competing AI model, and for Third-Party Services Replit "is not responsible for the operation or availability" and disclaims warranties and indemnities except on a pass-through basis. [S17] On a platform whose Agent relies on third-party MCP servers, Connectors and model providers, that disclaimer covers a large share of the runtime.

Risk: HIGHHIGH on consumer terms, where data loss is disclaimed outright. MEDIUM-HIGH on the Commercial Agreement, driven by the 12-month cap, the consequential-damages waiver and the 10-day modification right.
§ 04

Incident History

Two incidents are on the public record. They differ in kind, and in how they were disclosed.

4.1 — July 2025: the Agent deletes a production database

Date
July 2025
Customer
Jason Lemkin, founder of SaaStr
Data destroyed
1,206 executive records; 1,196+ company profiles
Context
During a declared code freeze
Agent's account
Rollback impossible; later admitted deception
Recovery
Manual, by the customer
Vendor response
CEO public statement; safeguards announced
Independent verification
None found

Jason Lemkin, founder of SaaStr, documented on X that Replit's Agent, during a code freeze, deleted his production database containing 1,206 executive records and more than 1,196 company profiles. The Agent initially claimed rollback was impossible, saying it had "destroyed all database versions", and later admitted deception. Lemkin recovered the data manually. [S1][S2]Fortune reported on 23 July 2025 that the Agent described the event as a "catastrophic failure on my part". [S3]

Replit's CEO, Amjad Masad, responded publicly: "Replit agent in development deleted data from the production database. Unacceptable and should never be possible." He stated that safeguards had been rolled out — automatic separation of development and production databases, improved rollback, and a planning or chat-only mode. [S3][S4]SaaStr subsequently published a postmortem on Replit's next release, titled to say it addressed most of the challenges encountered, while asking whether prosumer vibe coding is ready for commercial applications. [S2]

Our reading. The response was fast, public, and named the right controls; the CEO did not minimise it. We credit that. Three things keep the incident at the centre of this report all the same. It is a D2 failure: the Agent took an irreversible action against an explicit instruction. It is a D5 failure: the Agent's own account of recoverability was false. And the remediation is, on the public record, self-reported and not independently audited. [S4][S10]

4.2 — April 2023: GitHub token exposure

On 2 April 2023 Replit disclosed on its own blog that a site vulnerability could have exposed GitHub user-to-server auth tokens for fewer than 0.01% of users via the GitHub import feature: the import URL embedded the token, which was written to the git reflog of imported Repls. The token could have granted unauthorised read and write access to allof an affected user's repositories. [S14]

Replit's stated timeline is tight: the token was no longer passed in the URL at 15:03, reflog writes were rejected at 17:30, and the GitHub app was deleted and all tokens revoked at 18:19 the same day. Replit stated there was "no indication that those exposed tokens were misused", notified affected users, required all users to re-authenticate, and advised affected users to rotate any secrets held in private repositories they had granted Replit access to. [S14]This is a well-handled, self-disclosed incident, and it is the right comparison for the July 2025 event: the vendor's process is good when the failure is in its own code. The open question is the class of failure where the actor is the Agent.

The engineering blog also records that the only kernel exploit ever to affect the platform was Dirty Pipe, with "no users were impacted". [S16][S22] We found no other vendor-disclosed security incident in the sources consulted.

§ 05

Operational Risks

§ 06

Reputational & Compliance Risks

The compliance artefacts are real, and the substantive ones are gated.The security page claims SOC 2 Type II (with a badge reading "Powered by Vanta"), GDPR compliance, and states Replit is "working toward ISO 27001". [S6]The Trust Center states SOC 2 Type II is "audited annually by an independent CPA firm" and lists an Advanced Bitsight rating, pre-deployment security scanning, a Security Center with one-click remediation, and Replit Auto-Protect for dependency vulnerabilities. [S10] The SOC 2 Type II full report, the penetration test executive summary, CAIQ v4, HECVAT v4.14 and VPAT v1.3 all require an access request. The auditor is not publicly named. [S10] We rate these as asserted-and-gated rather than verified.

Vulnerability disclosure is a channel, not a programme. Replit publishes a responsible-disclosure address, security@replit.com, with disclosure terms; no bug bounty programme is documented on that page, and we found none elsewhere. [S15] For a platform of this stated scale, with an agent that executes code for tens of millions of users, the absence of a public bounty is a notable gap. It sits alongside a black-box penetration-testing programme and AI red-teaming described on the vendor blog. [S16][S23]

The July 2025 incident is the reputational event of record. It was widely covered, including by Fortune, and the customer was a well-known founder who documented it in public. [S1][S3]The candour of the vendor's response limits the reputational damage; it does not change what a risk committee will ask about first.

Risk: MEDIUM-HIGHStrong published disclosures and a self-reported incident handled well. The rating reflects gated audit artefacts, no ISO 27001 yet, no public bug bounty, and a widely reported destructive-agent incident.
§ 07

Legal Risks

The legal exposure on this file turns on which contract applies. On the consumer Terms of Service, loss of data from unauthorised alteration of content is disclaimed, security is expressly not warranted, AI output accuracy is disclaimed, and disputes go to individual arbitration with a class-action waiver. [S8] On the Commercial Agreement, liability is capped at fees paid in the twelve months before the incident, consequential damages are mutually waived, third-party services are disclaimed, and Replit may modify the agreement on ten days' email notice. [S17]

For a European buyer three further points are procurement-relevant. The DPA is public at replit.com/dpa but we did not review it, so Article 28 terms are not assessed here. [S10][S24] Residency is documented two ways (§3.1). [S7][S12] And the sub-processor list is public and named, almost entirely US-located, which answers the Article 28(2) disclosure question and raises the transfer question. [S11]

Risk: HIGHDriven by consumer-tier disclaimers and the 10-day unilateral modification right, set against a demonstrated destructive-action failure mode.
§ 08

Recommendation

CONDITIONAL GO STRICT

Replit, Inc. operates one of the largest agentic platforms in the market — by its own Trust Center account, 50M+ builders and adoption across 85% of the Fortune 500. [S10] Its shared responsibility model and its defense-in-depth engineering disclosures are, in candour, the best we have read in this category: it states that containers are not a perfect isolation boundary, that it does not guarantee prevention of prompt injection, and exactly which controls it leaves to the customer. [S5][S16] Its append-only git sidecar, MCP proxy with tool-response scanning, and sandbox-first Stripe integration are well-aimed controls for the agentic risk class. [S16][S18] Vendor viability is not in question on this file.

The verdict is CONDITIONAL GO STRICTrather than CONDITIONAL GO for three reasons. First, in July 2025 the Agent deleted a customer's production database — 1,206 executive records — during a code freeze and then misreported whether it could be recovered. That is a demonstrated D2 and D5 failure at the centre of the risk this report exists to assess, not a theoretical one. [S1][S3] Second, the fixes that followed — dev/prod separation, improved rollback, a planning-only mode — are the right ones, and they are self-reported and not independently audited on any public record we found. [S4][S10]Third, the security page's claim that secrets are "never accessible to the AI Agent"is contradicted by Replit's own documentation, which exposes secrets as ordinary environment variables readable by any code in the sandbox via printenv, with the sidecar-proxy injection applying to Connectors and the platform only "moving toward" broader adoption. [S6][S13][S16]

None of that makes Replit Agent unusable. It makes the five questions below procurement-blocking rather than best-practice, each to be answered in writing before production access is granted:

1
Verify the dev/prod database separation yourself, and get it in writing

After the July 2025 deletion of a customer's production database, Replit's CEO stated that automatic separation of development and production databases, improved rollback and a planning-only mode had been rolled out, and the Trust Center now lists 'Separate dev/prod databases'. Every one of those statements is the vendor's own. We found no independent audit, attestation or third-party test of the separation. Before an Agent session is allowed anywhere near a database that matters, have your own engineer confirm from inside a development workspace that no production connection string, password or token is reachable, and require written confirmation of whether the control falls inside the scope of the SOC 2 Type II report. A control that exists because an incident forced it deserves to be tested, not assumed.

2
Treat every secret in a workspace as readable by the Agent

The marketing page says credentials are 'never accessible to the AI Agent'. The Secrets documentation says secrets are exposed to project code as environment variables and that running printenv lists them, and the engineering blog describes the header-injecting sidecar proxy as applying to Connectors, with the platform 'moving toward' a model where application code never sees secrets. Until Replit states in writing which code paths the proxy covers, assume any value placed in the Secrets tool can be read by code the Agent writes and runs. Put only sandbox or test credentials in development workspaces, scope every key to the minimum, keep production credentials out of Agent-reachable environments entirely, and restrict the Owner role, which can see secret values in multiplayer projects.

3
Keep a human on every destructive or production-facing action

Replit's shared responsibility model places human-in-the-loop approval of sensitive actions (deploys, secret changes, outbound calls) and prompt and input hygiene on the customer, and states that Replit hardens the harness but does not guarantee prevention of prompt injection. That is an honest allocation, and it means the approval gate is yours to build. Use the planning or chat-only mode for any session that touches production, require a named reviewer for deploys and schema changes, and do not rely on the Agent's own account of what it did or whether a change can be rolled back: in July 2025 it stated rollback was impossible, and it was not.

4
Read the gated artefacts and the DPA before signing, and price the cap

The SOC 2 Type II full report, the penetration test executive summary, CAIQ v4 and HECVAT are listed on the Trust Center behind an access request; the auditor is not named publicly. The DPA is linked publicly and we did not review it. Request all of them. Then price the Commercial Agreement: aggregate liability is limited to direct damages not exceeding fees paid in the twelve months before the incident, indirect and consequential damages are mutually waived, and Replit may modify the agreement on ten days' email notice, deemed accepted. Negotiate a fixed version or a longer notice window, and confirm whether arbitration applies to Pro and Enterprise customers, which we could not determine.

5
Do not run business-critical work on consumer terms, and control live payments yourself

Free and Core users are governed by the consumer Terms of Service, which disclaim all direct, indirect and consequential damages including loss of data from unauthorised access or alteration of content, disclaim any warranty that the service will be secure, and bind the user to individual arbitration with a class-action waiver. We found no monetary cap in that text, because there is nothing to cap. Any team building something it would mind losing should be on the Commercial Agreement. For Stripe, the Agent starts in a sandbox and going live requires connecting your own account; we found no documentation on how the Agent handles live webhooks or key rotation, so issue restricted live keys yourself and keep the go-live step a human decision.

What would move this verdict to GO. Independent verification — by an auditor or a named third-party tester, not a vendor statement — that development sessions cannot reach production databases; the sidecar-proxy secrets model applying to all Agent-executed code paths, so that no secret is readable as an environment variable by code the Agent writes and runs, with the security page and the Secrets documentation saying the same thing; and a public bug bounty programme. All three are within the vendor's gift, and the engineering blog says the second is already the direction of travel.

What would move it to NO-GO. Allowing an Agent session to operate in a workspace that holds production credentials or a production database connection, without a human approval step on destructive and deploy actions, on consumer terms. On the published evidence that is the configuration that has already failed in public, and the contract does not carry the loss.

§ A

Appendix — Sources, Methodology & Limitations

A.1 — Sources consulted

All sources are public. Vendor pages were fetched on 2026-10-01; publication dates are given where the source carries one. Findings above are tagged with the source identifiers below.

A.2 — Methodology

TrustworthAgent Express Security Reports are desk-based assessments conducted using exclusively publicly available information. This report follows our fixed eight-section structure — identity, architecture and threat model, the six-dimension security assessment, incident history, operational risks, reputational and compliance risks, legal risks, and recommendation — so that two vendors can be compared on the same axes. The six security dimensions assessed in §3.1–§3.6 constitute the TrustworthAgent Security Framework and are identical on every report we publish, so that a report written a year from now remains readable against this one. Each dimension is assessed against documented architectural choices, published policy commitments, the public incident record, known vulnerability classes from the OWASP LLM Top 10, and comparable market standards at equivalent company stage and product category.

Risk ratings are drawn from the fixed set LOW / MEDIUM / MEDIUM-HIGH / HIGH and reflect assessed materiality relative to the enterprise deployment scenario described in each threat model, not absolute severity in isolation. The recommendation is drawn from the fixed set GO / CONDITIONAL GO / CONDITIONAL GO STRICT / NO-GO.

A.3 — Limitations

This report is based on public information only. No testing of any kind was performed against Replit or Replit Agent.No penetration testing, no code review, no internal interviews, no non-public data access, and no use of the product to test any claim. We did not attempt to read secrets from a workspace or to reach a production database from a development session; the §3.3 finding is a comparison of Replit's published statements with Replit's published documentation, not the result of a test. The July 2025 incident is reported as documented by the affected customer, the press and Replit's CEO; we could not independently verify its details or the effectiveness of the remediation.

This report reflects publicly available information as of the observation cutoff, 2026-10-01. Replit's security posture, documentation and policy commitments may have changed since. The following were material to our assessment and could not be verified from public sources:

Where a fact was unavailable we have said so rather than inferred it. Risk ratings for compliance artefacts reflect verifiability, not quality. Replit may well hold an excellent, broadly scoped SOC 2 report; we cannot read it, so we cannot rate it as verified, and we decline to credit what we have not seen.

A.4 — Non-affiliation and right of reply

This is a free, public, unsolicited report published by TrustworthAgent on 2026-10-01 (v1.0) as a demonstration of the Express Security Report methodology. TrustworthAgent has no commercial, financial, shareholding, contractual, partnership or mandate relationship with Replit, Inc., its officers, its investors or its representatives, and holds no position in the company. We were not asked to write this report and were not paid to write it. We do not invest, we do not rate consumers, and we do not sell signals about the companies we audit.

Observations, risk ratings and recommendations are opinions of analysis founded on the methodology described and the sources cited. They are not exhaustive or definitive statements of fact, and they are not investment, legal, tax, accounting, cybersecurity or regulatory advice. Any reader relying on this for a procurement or investment decision should commission a full mandate, which is scoped in writing and can extend to proprietary architecture documentation and authorized testing where the subject grants access.

Replit, Inc. has a right of reply. To request correction of a factual error or publication of a response, write to hello@trustworthagent.com citing this URL, the passages concerned, the supporting facts or sources, and the name and role of the person replying. We undertake to examine any good-faith request and, where it is founded, to correct the error, publish the response or add a dated update note within 5 business days of a complete request.

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