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World desk3 min

How Equifax Uses AI to Speed Up Security and Manage Risk

Equifax describes AI as a tool for security triage, controlled internal adoption, and defense against AI-enabled attacks. Its reported metrics are company disclosures, not independent verification.
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Equifax describes its AI cybersecurity program as three connected efforts: using AI to help security staff triage alerts, setting controls for employees who use AI tools, and adapting defenses to attacks that use AI. The company says its tools help resolve routine work faster, but its public disclosures do not independently verify the reported results or show that AI eliminates security risk.

How Equifax uses AI in security operations

Equifax says a specialized AI triage agent helps automatically resolve nearly 50% of Security Operations Center (SOC) tickets. It also reports that its mean time to detect cyber threats remained below one minute. Those are company-reported figures from its March 18, 2026 release about its 2025 Security Annual Report.

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The agent is presented as assistance for security operations, not a substitute for analysts. Equifax’s chief information security officer, Jeremy Koppen, said the company uses AI “in conjunction with our skilled analysts.” The release does not specify which ticket categories the agent resolves, how analysts review its actions, or how the detection-time figure is calculated.

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How Equifax sets guardrails for employees’ AI use

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 help teams use AI tools without exposing the enterprise to unmanaged risk.

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The company’s 2026 proxy statement says its AI controls framework is based on the NIST AI Risk Management Framework and integrated with existing cybersecurity and privacy controls. It describes risk ratings, limits on data use, and processes for monitoring AI inputs and outputs for accuracy, relevance, and fairness. These are governance measures Equifax says it has adopted; the cited disclosures do not provide an independent assessment of their effectiveness.

How Equifax says it responds to AI-enabled attacks

Equifax says attackers are using AI to increase the speed and sophistication of threats. It reports that adaptive external defenses intercepted live deepfake attacks targeting company leadership and blocked evasive malware designed to bypass traditional filters. The company release does not identify the dates, technical details, or indicators of those incidents, so the examples cannot be independently evaluated from that account alone.

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How AI fits into Equifax’s wider security program

Equifax presents AI as one part of a broader technology and security effort. It says it worked with vendors across endpoint protection, cloud services, and identity and access management to strengthen native capabilities, but does not name those vendors.

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The executive summary also says Equifax combined its Security Architecture and Technology Architecture functions and provided them with 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. These figures are from Equifax’s 2025 Security Annual Report executive summary; its cited material does not explain the measurement methods.

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What Equifax’s 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 previous year. Its executive summary also reports a 4.4 score on the NIST Cybersecurity Framework for 2025, more than 240,000 workforce security simulations, and more than 330 real-time automated cloud security checks.

These metrics provide a view of activity and outcomes as Equifax reports them, but they are not a third-party audit of the AI systems. The public disclosures do not establish that AI alone produced the results, quantify any reduction in breaches, or show that cyber risk has been eliminated. The clearest picture is of AI assisting security workflows, governance controls shaping internal use, and external defenses intended to meet AI-enabled threats—with human analysts and the wider security program still in the loop.

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