Comparison Overview

parabole.ai

VS

DoorDash

parabole.ai

1100 Cornwall Rd, Princeton, New Jersey, 08852, US
Last Update: 2025-03-11 (UTC)
Between 900 and 1000

Excellent

At Parabole.ai, we're transcending traditional analytics with our no-code TRAIN platform, a uniquely intelligent system designed to understand your business inside and out. Unlike standard tools that rely heavily on extensive data sets and human intervention, TRAIN builds intricate causal models by autonomously learning first principles and enterprise-specific knowledge. Our platform can gather its wisdom from simple narratives provided by your Subject Matter Expertsโ€”from executive planners to frontline workersโ€”converting their insights into actionable intelligence. The key differentiator? Knowledge. TRAIN integrates this gathered wisdom with your KPIs to decode complex causal relationships, delivering unparalleled predictive accuracy. This means you can make faster, more informed decisions across a variety of applicationsโ€”be it supply chain optimization, risk management, or ESG strategy. Ready to elevate analytics from a data-centric chore to a knowledge-powered strategic asset? Let's talk about how TRAIN can revolutionize your enterprise decision-making.

NAICS: 511
NAICS Definition:
Employees: 29
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

DoorDash

undefined, San Francisco, California, undefined, US
Last Update: 2025-05-06 (UTC)

Strong

At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of usersโ€”from Dashers to Merchants to Customers.

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 65,176
Subsidiaries: 2
12-month incidents
0
Known data breaches
5
Attack type number
1

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/paraboleai.jpeg
parabole.ai
โ€”
ISO 27001
Not verified
โ€”
SOC 2
Not verified
โ€”
GDPR
No public badge
โ€”
PCI DSS
No public badge
https://images.rankiteo.com/companyimages/doordash.jpeg
DoorDash
โ€”
ISO 27001
Not verified
โ€”
SOC 2
Not verified
โ€”
GDPR
No public badge
โ€”
PCI DSS
No public badge
Compliance Summary
parabole.ai
100%
Compliance Rate
0/4 Standards Verified
DoorDash
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for parabole.ai in 2025.

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for DoorDash in 2025.

Incident History โ€” parabole.ai (X = Date, Y = Severity)

parabole.ai cyber incidents detection timeline including parent company and subsidiaries

Incident History โ€” DoorDash (X = Date, Y = Severity)

DoorDash cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/paraboleai.jpeg
parabole.ai
Incidents

No Incident

https://images.rankiteo.com/companyimages/doordash.jpeg
DoorDash
Incidents

Date Detected: 08/2022
Type:Breach
Attack Vector: Stolen Credentials
Blog: Blog

Date Detected: 09/2019
Type:Breach
Attack Vector: Unauthorized Access
Blog: Blog

Date Detected: 5/2019
Type:Breach
Attack Vector: Unauthorized Access
Blog: Blog

FAQ

parabole.ai company company demonstrates a stronger AI risk posture compared to DoorDash company company, reflecting its advanced AI governance and monitoring frameworks.

DoorDash company has historically faced a number of disclosed cyber incidents, whereas parabole.ai company has not reported any.

In the current year, DoorDash company and parabole.ai company have not reported any cyber incidents.

Neither DoorDash company nor parabole.ai company has reported experiencing a ransomware attack publicly.

DoorDash company has disclosed at least one data breach, while parabole.ai company has not reported such incidents publicly.

Neither DoorDash company nor parabole.ai company has reported experiencing targeted cyberattacks publicly.

Neither parabole.ai company nor DoorDash company has reported experiencing or disclosing vulnerabilities publicly.

DoorDash company has more subsidiaries worldwide compared to parabole.ai company.

DoorDash company employs more people globally than parabole.ai company, reflecting its scale as a Software Development.

Latest Global CVEs (Not Company-Specific)

Description

Quadient DS-700 iQ devices through 2025-09-30 might have a race condition during the quick clicking of (in order) the Question Mark button, the Help Button, the About button, and the Help Button, leading to a transition out of kiosk mode into local administrative access. NOTE: the reporter indicates that the "behavior was observed sporadically" during "limited time on the client site," making it not "possible to gain more information about the specific kiosk mode crashing issue," and the only conclusion was "there appears to be some form of race condition." Accordingly, there can be doubt that a reproducible cybersecurity vulnerability was identified; sporadic software crashes can also be caused by a hardware fault on a single device (for example, transient RAM errors). The reporter also describes a variety of other issues, including initial access via USB because of the absence of a "lock-pick resistant locking solution for the External Controller PC cabinet," which is not a cybersecurity vulnerability (section 4.1.5 of the CNA Operational Rules). Finally, it is unclear whether the device or OS configuration was inappropriate, given that the risks are typically limited to insider threats within the mail operations room of a large company.

Risk Information
cvss3
Base: 6.4
Severity: HIGH
CVSS:3.1/AV:P/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Description

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Versions between 2.1.0 and 2.14.19, 3.2.0-rc1, 3.1.0-rc1 through 3.1.7, and 3.0.0-rc1 through 3.0.18 contain a race condition in the repository credentials handler that can cause the Argo CD server to panic and crash when concurrent operations are performed on the same repository URL. The vulnerability is located in numerous repository related handlers in the util/db/repository_secrets.go file. A valid API token with repositories resource permissions (create, update, or delete actions) is required to trigger the race condition. This vulnerability causes the entire Argo CD server to crash and become unavailable. Attackers can repeatedly and continuously trigger the race condition to maintain a denial-of-service state, disrupting all GitOps operations. This issue is fixed in versions 2.14.20, 3.2.0-rc2, 3.1.8 and 3.0.19.

Risk Information
cvss3
Base: 6.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Description

Stored cross-site scripting (XSS) vulnerabilities in Web Content translation in Liferay Portal 7.4.0 through 7.4.3.112, and older unsupported versions, and Liferay DXP 2023.Q4.0 through 2023.Q4.8, 2023.Q3.1 through 2023.Q3.10, 7.4 GA through update 92, and older unsupported versions allow remote attackers to inject arbitrary web script or HTML via any rich text field in a web content article.

Risk Information
cvss4
Base: 4.8
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:A/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Keysight Ixia Vision has an issue with hardcoded cryptographic material which may allow an attacker to intercept or decrypt payloads sent to the device via API calls or user authentication if the end user does not replace the TLS certificate that shipped with the device. Remediation is available in Version 6.9.1, released on September 23, 2025.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

An Insecure Direct Object Reference (IDOR) in the /dashboard/notes endpoint of Syaqui Collegetivity v1.0.0 allows attackers to impersonate other users and perform arbitrary operations via a crafted POST request.