Comparison Overview

KPIT

VS

[24]7.ai

KPIT

SEZ Unit-2 , Plot no- 17, Phase 3, Hinjewadi Rajiv Gandhi Infotech Park, Hinjawadi, Pune, Maharashtra, IN, 411057
Last Update: 2025-11-27
Between 750 and 799

About KPIT KPIT is reimagining the future of mobility, forging ahead with group companies and partners to shape a world that is cleaner, smarter, and safer. With over 25 years of specialized expertise in Mobility, KPIT is accelerating the transformation towards Software and AI-Defined Vehicles through its advanced solutions, platforms, and products—propelled by mobility-infused AI frameworks, software craftsmanship, and systems integration mastery. Vision in Motion Fueled by 2000+ vehicle production programs and powering 20+ million vehicles on the road with KPIT software, our experience in unmatched. At the same time, we push boundaries, developing solutions that enable Mobility OEMs to innovate at speed and scale. For more details, visit www.kpit.com

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 16,309
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

[24]7.ai

2105 S Bascom Ave, Campbell, California, US, 95008
Last Update: 2025-11-27
Between 750 and 799

[24]7.ai™ customer engagement solutions use conversational artificial intelligence to understand customer intent, enabling companies to create personalized, predictive, and effortless customer experiences across all channels; attract and retain customers; boost agent productivity and satisfaction; and drive revenues while lowering costs. The world’s largest and most recognizable brands use [24]7.ai intent-driven technologies to serve several hundred million visitors through billions of conversations annually, most of which are automated. The result is an order of magnitude improvement in digital adoption, customer satisfaction, and revenue growth. For more information, visit: www.247.ai. [24]7.ai is based in Campbell, California. [24]7.ai is a registered trademark of 24/7 Customer, Inc.

NAICS: 5112
NAICS Definition: Software Publishers
Employees: 11,036
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/kpit.jpeg
KPIT
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/24-7-ai.jpeg
[24]7.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
Compliance Summary
KPIT
100%
Compliance Rate
0/4 Standards Verified
[24]7.ai
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for KPIT in 2025.

Incidents vs Software Development Industry Average (This Year)

No incidents recorded for [24]7.ai in 2025.

Incident History — KPIT (X = Date, Y = Severity)

KPIT cyber incidents detection timeline including parent company and subsidiaries

Incident History — [24]7.ai (X = Date, Y = Severity)

[24]7.ai cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/kpit.jpeg
KPIT
Incidents

No Incident

https://images.rankiteo.com/companyimages/24-7-ai.jpeg
[24]7.ai
Incidents

No Incident

FAQ

[24]7.ai company demonstrates a stronger AI Cybersecurity Score compared to KPIT company, reflecting its advanced cybersecurity posture governance and monitoring frameworks.

Historically, [24]7.ai company has disclosed a higher number of cyber incidents compared to KPIT company.

In the current year, [24]7.ai company and KPIT company have not reported any cyber incidents.

Neither [24]7.ai company nor KPIT company has reported experiencing a ransomware attack publicly.

Neither [24]7.ai company nor KPIT company has reported experiencing a data breach publicly.

Neither [24]7.ai company nor KPIT company has reported experiencing targeted cyberattacks publicly.

Neither KPIT company nor [24]7.ai company has reported experiencing or disclosing vulnerabilities publicly.

Neither KPIT nor [24]7.ai holds any compliance certifications.

Neither company holds any compliance certifications.

Neither KPIT company nor [24]7.ai company has publicly disclosed detailed information about the number of their subsidiaries.

KPIT company employs more people globally than [24]7.ai company, reflecting its scale as a Software Development.

Neither KPIT nor [24]7.ai holds SOC 2 Type 1 certification.

Neither KPIT nor [24]7.ai holds SOC 2 Type 2 certification.

Neither KPIT nor [24]7.ai holds ISO 27001 certification.

Neither KPIT nor [24]7.ai holds PCI DSS certification.

Neither KPIT nor [24]7.ai holds HIPAA certification.

Neither KPIT nor [24]7.ai 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