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Gambit Security

Gambit Security Vendor Cyber Rating & Cyber Score

gambit.security

Gambit's Balens is the AI native resilience platform that ensures digital continuity never expires. Designed to bridge the fragmented nature of recovery operations, Gambit provides a unified governance and control plane across cloud, backups, security tools, and Infrastructure as Code (IaC) to reconcile intent with live reality. By mapping applications, identifying resilience gaps, and validating recovery paths in real-time, Gambit turns resilience assumptions into business certainty - before an incident ever occurs. Already trusted by global enterprises to minimize disruption and automate compliance, Gambit enables organizations to stay ahead of ransomware attacks, innovate at speed while proving their recoverability on demand.


Gambit Security A.I CyberSecurity Scoring

Gambit Security
Company Information
Website:https://www.gambit.security/
Employees number:81
Number of followers:4,358
NAICS:541514
Industry Type:Computer and Network Security
Homepage:gambit.security
Gambit Security Risk Score (AI oriented)
Between 700 and 749
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Gambit SecurityComputer and Network Security
Updated:
23/09/2026
712/1000
Moderate
Ba
AaaAaABaaBaBCaaCaC
Powered by our proprietary A.I cyber incident model
✖ Insurance prefers TPRM score to calculate premium
Gambit Security Global Score (TPRM)
xxxx
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Gambit SecurityComputer and Network Security
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Score locked
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Findings

Gambit SecurityModerate
Current Score
712Ba (MODERATE)
01000
1 incidents
-38 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
SEPTEMBER 2026
750Before Incident
Cyber Attack
23 Sep 2026 • Gambit Security
Magento and Gambit Security: Autonomous AI Agents Hack Online Retailers for $25 Per Target, Steal 600,000 Credit Cards

AI-Powered Cybercrime Campaign Steals 600K+ Credit Cards from Online Retailers

712After Incident
CRITICAL-38
GAMADO1790151984
AI-Powered Cybercrime Campaign Steals 600K+ Credit Cards from Online Retailers A financially motivated threat actor has leveraged autonomous AI agents to target hundreds of online retailers since July 2026, stealing over 600,000 unexpired credit card records in an ongoing campaign uncovered by Gambit Security. The operation, which remains active, automates vulnerability discovery, exploitation, data theft, and payment card skimming with some attacks including destructive cleanup actions that erase database tables or wipe payment fields post-exfiltration. ### Attack Mechanics & AI Tools The campaign employs three open-source AI agents: - Strix: Conducts deep reconnaissance and vulnerability scanning. - Cairn: Executes autonomous exploitation, securing shell or admin access over hours. - Hermes: Orchestrates attacks, maintains persistence, and directs impact-stage actions. A human operator, issuing brief prompts in Chinese, initiated attacks by directing agents to probe targets, validate exploits, and deploy JavaScript skimmers often by hijacking legitimate scripts, modifying Google Tag Manager, or poisoning cloud-hosted content. Between September 10–15, 2026, the actor launched 105 attack projects, compromising at least 27 organizations. ### Cost & Scale The operator used OpenRouter for AI model access, spending $7,005.71 over four weeks with estimated total campaign costs between $12,000–$18,000. The average cost per successful target was $25.46, though expenses ranged from $3.13 to $79.31 depending on the attack’s complexity. ### Techniques & Impact Beyond skimming, the threat actor employed destructive automation, including: - Wiping Magento payment card fields after exfiltration. - Deleting 180 database tables (including backups) via broad cleanup criteria. The campaign highlights how AI-driven tools accelerate attacks, reducing the time between exposure and compromise while enabling a single operator to manage large-scale intrusions. ### Indicators of Compromise (IoCs) Gambit Security identified multiple IPs, domains, and skimmer payloads linked to the operation, including: - Staging/C2 IPs: `155.254.22.215`, `209.126.4.170`, `213.21.239.62` - Skimmer hosts: `b8t[.]shop`, `cdn[.]netlfjs[.]com`, `x1opay[.]co` - Proxy services: IPRoyal, 711proxy, 1024proxy The full list of IoCs is available in the original report.
INCIDENT DETAILS -
TYPE
Payment Card Skimming, Data Theft, Destructive Attack
MOTIVATION
Financial gain
IMPACT
Financial Loss: $12,000–$18,000 (campaign costs)Data Compromised: 600,000+ unexpired credit card recordsSystems Affected: Online retail websites, databases, payment systemsOperational Impact: Destructive actions (wiped database tables, payment fields), compromised payment processingIdentity Theft Risk: High (credit card data exposed)Payment Information Risk: High (payment card skimming)
DATA BREACH
Type Of Data Compromised: Payment card data (credit card records)Number Of Records Exposed: 600,000+Sensitivity Of Data: High (unexpired credit card details)Data Exfiltration: YesPersonally Identifiable Information: Yes (credit card numbers)
AUGUST 2026
750Before Incident
JULY 2026
750Before Incident
JUNE 2026
750Before Incident
MAY 2026
750Before Incident
APRIL 2026
750Before Incident
MARCH 2026
750Before Incident
FEBRUARY 2026
750Before Incident
JANUARY 2026
750Before Incident
DECEMBER 2025
750Before Incident
NOVEMBER 2025
750Before Incident
OCTOBER 2025
750Before Incident

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