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Equifax describes its AI cybersecurity work as three connected efforts: using AI to help security teams triage alerts, putting controls around employees’ use of AI tools, and adapting external defenses to attacks that use AI. The company reports faster security workflows and defenses against specific threats, but its public disclosures do not independently verify those outcomes or explain the systems in technical detail.
How Equifax says it uses AI for cybersecurity
Equifax’s approach is not a single AI product. In its account, AI supports internal security operations and broader employee adoption, while the company also adjusts defenses to address threats that may be created or accelerated with AI. These layers serve different purposes: operational efficiency, managed internal use, and threat response.
AI-assisted security operations
Equifax says a specialized AI triage agent helps automatically resolve nearly 50% of its Security Operations Center (SOC) tickets. It also reports that its mean time to detect cyber threats remained below one minute. The company has not publicly described the agent’s architecture, which ticket categories it handles, how analysts review its decisions, or how detection time is calculated. These are Equifax-reported results, not independently assessed benchmarks. Equifax’s March 18, 2026 release summarizes the figures.
Controls for employees’ use of AI
Equifax says automated guardrails and custom AI advisory assistants reduced security consultation times by 61%. Its executive summary also describes automated content-safety filters and secure coding frameworks intended to let teams use AI tools without unmanaged enterprise risk. In its 2026 proxy statement, the company says its AI controls framework is based on the NIST AI Risk Management Framework and integrated with existing NIST-aligned cybersecurity and privacy controls. It describes risk ratings, controls on data use, and processes for monitoring AI inputs and outputs for accuracy, relevance, and fairness. Equifax’s 2026 proxy statement describes the governance framework; the 2025 Security Annual Report executive summary outlines operational controls.
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Defenses against AI-enabled attacks
Equifax says threat actors are using AI to increase the speed and sophistication of attacks. It reports that adaptive external defenses intercepted live deepfake attacks targeting company leadership and blocked evasive malware designed to bypass traditional filters. The disclosure does not provide attack dates, technical indicators, or independent confirmation, so it establishes what Equifax says its defenses handled—not the broader effectiveness of those controls.
How AI fits into Equifax’s wider security program
Equifax says it worked with vendors across endpoint protection, cloud services, and identity and access management to shape and harden native capabilities. Its executive summary also describes combining its Security Architecture and Technology Architecture functions and giving them an automated development platform. The company reports that the platform supported shipping 50% more changes and covering 164% more critical infrastructure components, while keeping average issue-closure time below 24 hours. Those figures are company-reported; the summary does not establish that AI alone caused them. The executive summary of Equifax’s 2025 Security Annual Report is the source for these program details.
The same summary reports a 2025 NIST Cybersecurity Framework score of 4.4, more than 240,000 workforce security simulations, and more than 330 real-time automated cloud security checks. These indicators describe additional elements of Equifax’s security program; they do not by themselves demonstrate that AI prevented breaches or eliminated risk.
What the reported numbers do—and do not—show
Equifax says it defended against an average of 19.8 million cyber threats per day in 2025, 30% more than the prior year. It also reports the operational results below. The company’s public materials do not explain the methodologies behind these metrics in enough detail to compare them directly with another organization’s results.
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| Equifax-reported measure | What the company says | Qualification |
|---|---|---|
| Threat volume | Average of 19.8 million cyber threats defended against per day in 2025 | 30% higher than the prior year; Equifax’s March 18, 2026 release |
| SOC ticket handling | Nearly 50% auto-resolved with a specialized AI triage agent | Equifax’s March 18, 2026 release; ticket categories and review process not stated |
| Threat detection | Mean time to detect below one minute | Equifax’s March 18, 2026 release; calculation method not stated |
| Security consultations | 61% reduction in consultation times associated with automated guardrails and AI advisory assistants | Equifax’s March 18, 2026 release; measurement period and methodology not stated |
| Cybersecurity framework score | 4.4 for 2025 | Equifax’s 2026 executive summary; scoring detail not stated |
| Workforce simulations and cloud checks | More than 240,000 security simulations and more than 330 real-time automated cloud security checks | Equifax’s 2026 executive summary |
How to interpret Equifax’s claims
The disclosures support a picture of AI as an aid to security workflows and a technology that requires governance—not as a substitute for analysts or a guarantee against attacks. Equifax’s CISO, Jeremy Koppen, described the approach as using AI “in conjunction with our skilled analysts” and putting guardrails in place so its workforce can use AI tools securely. That is the company’s stated model; the public materials do not detail how human review works in each use case.
The available figures and examples come from Equifax’s own 2025 security report materials and 2026 proxy filing. They do not include an independent audit of the reported outcomes, technical descriptions of the triage agent, or detailed evidence about the deepfake and malware incidents. Readers should therefore treat the metrics as company disclosures rather than independently verified measures of protection.
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