Comparison Overview

SIERA.AI

VS

PRE-TEC

SIERA.AI

13785 Research Blvd, Austin, Texas, 78750, US
Last Update: 2025-11-26
Between 750 and 799

SIERA.AI is a fast-growing venture-backed AI company in Austin, Texas that’s building the future of connected industrial mobility. SIERA.AI’s AI-enabled IoT devices and SaaS platform bring advanced vehicle safety and automation to the manufacturing and warehousing market. Our customers include top Fortune 500 manufacturing, warehousing and distribution centers. We have been recognized as one of 21 Austin startups to watch out for, as well as a finalist for Best New Innovative Product by MHI. You ready to achieve ZERO Forklift Accidents? Let us show you how. Here's a FREE 5-Step Strategy Guide --> https://bit.ly/100Xsafety

NAICS: None
NAICS Definition:
Employees: 23
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

PRE-TEC

990 Owen Loop N, Eugene, Oregon, US, 97402
Last Update: 2025-11-22
Between 750 and 799

PRE-TEC, a Division of The Willamette Valley Company, is a powerful team of innovative, take-charge individuals who know how to change ideas into reality. We ensure we understand the customer's needs and produce the solutions to address the needs. Products have evolved into flexible solutions that have stood the test of time. Repeat requests for self-contained cells have allowed PRE-TEC to develop “pre-engineered” platforms for specific applications, while custom engineering efforts have produced leading edge solutions. We design and build turn-key solutions using multi-axis robot arms, custom end-of-arm tooling, conveyance systems, and safety hardware. At Pre-Tec we have a specialized process that helps our team meet our customer's needs. We begin with a project review to look at concepts with you using simulation tools that let you envision a solution in your facility before a purchase order is issued. Then our team of design engineers provide personalized service, partnering with your project manager to develop solutions specific to your thermal or material handling requirements. Quotes are provided to aid companies with their capital budgeting process. Once the quotes have been approved, the custom systems are fully assembled, tested, and validated in our Eugene, Oregon facility and are approved by the customer before they are delivered.

NAICS: None
NAICS Definition: Others
Employees: 37
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/sieraai.jpeg
SIERA.AI
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
https://images.rankiteo.com/companyimages/pre-tec.jpeg
PRE-TEC
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
Compliance Summary
SIERA.AI
100%
Compliance Rate
0/4 Standards Verified
PRE-TEC
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Industrial Automation Industry Average (This Year)

No incidents recorded for SIERA.AI in 2025.

Incidents vs Industrial Automation Industry Average (This Year)

No incidents recorded for PRE-TEC in 2025.

Incident History — SIERA.AI (X = Date, Y = Severity)

SIERA.AI cyber incidents detection timeline including parent company and subsidiaries

Incident History — PRE-TEC (X = Date, Y = Severity)

PRE-TEC cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/sieraai.jpeg
SIERA.AI
Incidents

No Incident

https://images.rankiteo.com/companyimages/pre-tec.jpeg
PRE-TEC
Incidents

No Incident

FAQ

Both SIERA.AI company and PRE-TEC company demonstrate a comparable AI Cybersecurity Score, with strong governance and monitoring frameworks in place.

Historically, PRE-TEC company has disclosed a higher number of cyber incidents compared to SIERA.AI company.

In the current year, PRE-TEC company and SIERA.AI company have not reported any cyber incidents.

Neither PRE-TEC company nor SIERA.AI company has reported experiencing a ransomware attack publicly.

Neither PRE-TEC company nor SIERA.AI company has reported experiencing a data breach publicly.

Neither PRE-TEC company nor SIERA.AI company has reported experiencing targeted cyberattacks publicly.

Neither SIERA.AI company nor PRE-TEC company has reported experiencing or disclosing vulnerabilities publicly.

Neither SIERA.AI nor PRE-TEC holds any compliance certifications.

Neither company holds any compliance certifications.

Neither SIERA.AI company nor PRE-TEC company has publicly disclosed detailed information about the number of their subsidiaries.

PRE-TEC company employs more people globally than SIERA.AI company, reflecting its scale as a Industrial Automation.

Neither SIERA.AI nor PRE-TEC holds SOC 2 Type 1 certification.

Neither SIERA.AI nor PRE-TEC holds SOC 2 Type 2 certification.

Neither SIERA.AI nor PRE-TEC holds ISO 27001 certification.

Neither SIERA.AI nor PRE-TEC holds PCI DSS certification.

Neither SIERA.AI nor PRE-TEC holds HIPAA certification.

Neither SIERA.AI nor PRE-TEC holds GDPR certification.

Latest Global CVEs (Not Company-Specific)

Description

Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.

Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/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

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/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

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/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

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H