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Research

Credential Breaches Cost $4.81M and Take 292 Days to Detect

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ResearchIBM / Ponemon Institute · Jul 2025
$4.81M

Credential-based breaches are the most common, most expensive, and slowest to detect. The worst possible combination.

Key Finding

US breach costs hit a record $10.22M. AI-powered defense saves $1.9M and reduces detection time by 80 days per breach.

IBM's Cost of a Data Breach Report provides the financial case for identity security investment. The 2025 edition found that breaches involving stolen or compromised credentials cost an average of $4.81 million, making them the most expensive initial attack vector.

Credential-based breaches also took the longest to identify and contain at 292 days, nearly 10 months from initial compromise to resolution. During that time, attackers with valid credentials operate within the environment, accessing systems, exfiltrating data, and establishing persistence while appearing as legitimate users.

This creates a devastating combination: credential-based breaches are simultaneously the most common attack vector (per Verizon DBIR), the most expensive to remediate (per IBM), and the hardest to detect.

The report also quantified the defensive value of AI and automation: organizations using AI extensively in their security operations cut breach lifecycle by 80 days and saved an average of $1.9 million per breach. However, AI is also being weaponized. One in six breaches involved attackers using AI, with 37% leveraging AI for phishing and 35% using deepfakes.

For identity architecture, the financial data is clear. The cost of a credential breach exceeds the cost of implementing comprehensive identity controls by an order of magnitude. The question is not whether organizations can afford to invest in identity architecture. It is whether they can afford not to.

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