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Comparison Overview

McKinsey PanoramaMcKinsey Panorama
VS
PwC IndiaPwC India
McKinsey Panorama

McKinsey Panorama

N/A

Last Update: 12/03/2026

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Panorama offers the most granular data and insights on banking market-sizing, customer segmentation, and innovations through a platform-enabled, lean model designed around the needs of our clients. Beyond the bespoke platform we bring data to life by providing personal...

NAICS:5416
NAICS Definition:Management, Scientific, and Technical Consulting Services
Employees:None
Subsidiaries:43
12-month incidents
0
Known data breaches
0
Attack type number
0
PwC India

PwC India

Sector V, Salt Lake, Kolkata, 700091, IN

Last Update: 01/04/2026

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Between 800 and 849
http://www.pwc.in
810/1000Good

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 364,000 people in 136 countries and 137 territories. Across audit and assurance, tax and legal, deals a...

NAICS:5416
NAICS Definition:Management, Scientific, and Technical Consulting Services
Employees:25,772
Subsidiaries:79
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
McKinsey Panorama

McKinsey Panorama

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
PwC India

PwC India

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for McKinsey Panorama in 2026.

Incidents

Incidents vs Business Consulting and Services Industry Avg (This Year)

No incidents recorded for PwC India in 2026.

Incidents

Incident History - McKinsey Panorama (X = Date, Y = Severity)

McKinsey Panorama cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - PwC India (X = Date, Y = Severity)

PwC India cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
McKinsey Panorama

McKinsey Panorama

Incidents
No explicit notable incidents reported.
PwC India

PwC India

Incidents
No explicit notable incidents reported.

FAQ

Between McKinsey Panorama company and PwC India company, which one has the best AI Cybersecurity Score ?
Between McKinsey Panorama company and PwC India company, which one has experienced more cyber incidents in the past ?
Between McKinsey Panorama company and PwC India company, which one has experienced more cyber incidents this year ?
Between McKinsey Panorama company and PwC India company, which one has experienced at least one ransomware attack ?
Between McKinsey Panorama company and PwC India company, which one has experienced at least one data breach ?
Between McKinsey Panorama company and PwC India company, which one has experienced at least one targeted cyberattack ?
Between McKinsey Panorama company and PwC India company, which one has experienced at least one vulnerability ?
Between McKinsey Panorama company and PwC India company, which one holds the most compliance certifications ?
Between McKinsey Panorama company and PwC India company, which one holds the fewest compliance certifications ?
Between McKinsey Panorama company and PwC India company, which one has the most subsidiaries ?
Between McKinsey Panorama company and PwC India company, which one has the largest number of employees ?
Between McKinsey Panorama and PwC India, which company holds both SOC 2 Type 1 certifications ?
Between McKinsey Panorama and PwC India, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - McKinsey Panorama or PwC India ?
Which company is PCI DSS compliant - McKinsey Panorama or PwC India ?
Between McKinsey Panorama and PwC India, which company complies with HIPAA regulations for healthcare data ?
Between McKinsey Panorama and PwC India, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-52880
SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. Versions from 1.7.14 through 1.7.17 are vulnerable to a remotely triggerable denial of service. Both REST APIs are started with the Gin Engine.Run convenience method, which serves requests through Go's default HTTP server with no ReadHeaderTimeout, ReadTimeout, or MaxHeaderBytes configured. As a result, incoming connections that never complete their request headers are held open indefinitely. When a REST listener is reachable beyond localhost through the documented all-interface bind or a Docker port-publish deployment, a single unauthenticated client can open many slow-header connections and hold them open until server file descriptors are exhausted, preventing the API from accepting new connections. This renders the REST API unavailable to legitimate clients. This issue is fixed in version 1.7.18.

PUBLISHED
Date2026-08-07
UPDATED
Date2026-08-07
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-52879
SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. In versions 1.7.14 through 1.7.17, the direct-message ingress handler spawns a new goroutine for every incoming direct message before the processor-level antiflood layer makes any admission decision, with no semaphore, throttler, or bound on the number of concurrent in-flight spawns. Because the antiflood check runs inside the spawned goroutine rather than before it, a single connected peer can open a direct-send stream and send a stream of well-formed messages to force unbounded goroutine creation, where each goroutine allocates its own stack and holds a message reference until processing completes, adding scheduler and garbage-collection pressure faster than the runtime can drain it. This lets one peer degrade the node's availability and its ability to process legitimate traffic, resulting in a remotely triggerable denial of service. The issue is fixed in 1.7.18.

PUBLISHED
Date2026-08-07
UPDATED
Date2026-08-07
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-52878
SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. Versions 1.7.14 through 1.7.17 are vulnerable to a nil-pointer panic triggered by a protobuf Transaction whose embedded RawData sub-message is omitted. This omission causes RawData to decode to nil. Every transaction gossiped on the Klever-Go P2P network is decoded and validated synchronously inside the libp2p pubsub topic-validator callback, where txVersionChecker.CheckTxVersion dereferences tx.RawData.Version with no nil check. Because the libp2p pubsub callback, the underlying go-libp2p-pubsub validation worker, and Klever's own network/p2p layer install no recover(), the panic propagates and crashes the entire node process. The attacker payload is a 3-byte protobuf message; no validator key, stake, funds, or on-chain account is required, and delivery aimed at enough of the BLS validator set can halt block production, resulting in a chain halt. This issue has been fixed in version 1.7.18.

PUBLISHED
Date2026-08-07
UPDATED
Date2026-08-07
RISK INFORMATION (Score: 7.5)
CVSS3
Base Score: 7.5
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
3.9
CVE-2026-49343
SUMMARY

Klever-Go is the Go implementation of the Klever blockchain protocol. In versions prior to 1.7.18, the account-data trie syncers are vulnerable to a resource-exhaustion flaw that leaks bounded throttler slots on error paths. In syncDataTrie() (in both userAccountsSyncer.go and kappAccountsSyncer.go), StartProcessing() reserves a slot from the NumGoRoutinesThrottler, but the corresponding EndProcessing() is only called on the success path and on the duplicate-root early return. As a result, any error from trie.NewTrie(), trie.NewTrieSyncer(), or trieSyncer.StartSyncing() (including the network-dependent timeout path) permanently consumes one slot for the lifetime of the throttler. An attacker who can repeatedly cause trie-node sync failures or timeouts during bootstrap can exhaust the bounded throttler, after which further account-data trie syncs stop making progress and SyncAccounts() returns a timeout. Because epoch bootstrap in syncUserAccountsState() and syncKappAccountsState() aborts on any such error, this causes bootstrap to fail, a core availability issue affecting fresh, restarting, or resyncing nodes and validators. This issue is fixed in version 1.7.18.

PUBLISHED
Date2026-08-07
UPDATED
Date2026-08-07
RISK INFORMATION (Score: 5.9)
CVSS3
Base Score: 5.9
Complexity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
IMPACT SCORE
3.6
EXPLOITABILITY
2.2
CVE-2026-48122
SUMMARY

Ruby LSP is an implementation of the language server protocol for Ruby. Several workspace-level settings in the Ruby LSP VS Code extension prior to version 0.10.4 could override the path to the Ruby executable, the version manager executables, or the Bundler `Gemfile` used at startup. A malicious repository containing a `.vscode/settings.json` could set these values to attacker-controlled targets. Opening and trusting the repository would then execute code with the privileges of the developer. The Ruby LSP gem and clients of the language server in other editors are not affected. Version 0.10.4 of the Ruby LSP VS Code extension fixes the issue.

PUBLISHED
Date2026-08-07
UPDATED
Date2026-08-07
RISK INFORMATION (Score: )
CVSS4
Base Score: 5.4
Complexity: LOW
CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:A/VC:H/VI:H/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
IMPACT SCORE
NA
EXPLOITABILITY
NA