What do modern ATOs look like?
Stolen credentials have become the dominant path for breaches. Attackers now exploit every step of the digital identity chain. One major shift is that ATO attacks occur across multiple channels. A fraudster might begin by testing leaked passwords on a website. If Web controls block them, they pivot to the call center or a mobile carrier. Nearly two-thirds of financial institutions report that most ATOs begin with attackers targeting their call centers. Using personally identifiable information leaked in prior breaches, fraudsters convince customer service agents that they are legitimate users. Once inside, attackers reset credentials or manipulate support staff to bypass controls. In April 2025, the cybercrime collective Scattered Spider targeted British retailer Marks & Spencer. The attackers impersonated IT help desk personnel to bypass MFA and obtain employee credentials. The resulting system disruptions prevented customers from accessing the online store for nearly seven weeks and contributed to a $400 million decline in the company’s market value. Modern ATO attacks test enterprise defenses across every channel. If one path is blocked, attackers move to another. In turn, enterprises must build layered defenses that include identity threat detection and risk mitigation across Web, mobile, internal systems, and call centers.How account takeover attacks happen
Attackers combine multiple techniques to gain initial access. Compromised credentials help them blend in and move laterally. Common tactics include:Credential stuffing
Attackers use bots to test thousands of stolen credential pairs from prior breaches. This technique works because many users reuse passwords across services.Phishing
Attackers impersonate trusted brands through email, SMS, or advertisements. Victims are redirected to fake login pages that capture credentials.Man-in-the-middle attacks
Attackers intercept communication between users and websites to capture sensitive data. These attacks are especially effective on unsecured public Wi-Fi networks.SIM swap attacks
Attackers convince mobile carriers to transfer a victim’s phone number to a new SIM card. This allows them to intercept MFA codes and reset credentials.Cross-account lateral movement
Once inside an account, attackers pivot to others. They reset linked email accounts and exploit single sign-on connections. A major weakness in current defenses is reliance on static verification. When users cannot receive one-time passcodes, organizations often fall back on security questions. After years of data breaches, this information is widely exposed. As a result, security questions are now as vulnerable as passwords. Many call centers still rely on them to verify identity. Enterprises also struggle with orphaned accounts, outdated phone numbers, weak device verification, and inconsistent authentication policies. MFA provides stronger protection than passwords alone. However, phone-based MFA can still be bypassed through SIM swaps, AI-powered phishing, or social engineering.Account takeover prevention strategies
The ATO arms race currently favors attackers. They only need one gap, while defenders must secure every entry point. In turn, enterprises must strengthen authentication and continuously monitor identity risk.Adopt phishing-resistant authentication
Passwords and SMS codes remain the weakest authentication factors. Passkeys offer a stronger alternative. Passkeys bind credentials to a specific device and domain and use hardware-backed cryptography. The FIDO Alliance reports that over 35 percent of users have experienced account compromise due to password vulnerabilities. In addition, 47 percent of users abandon purchases when they forget passwords. Passkeys improve both security and usability.Use adaptive, risk-based MFA and continuous identity threat detection
MFA should adapt to risk. Risk-based MFA evaluates device, network, telecom, and behavioral risk signals before allowing access. Platforms such as ID Dataweb analyze device reputation, phone number history, geolocation, and login velocity. These risk signals help detect SIM swaps, compromised devices, and abnormal access attempts. Modern identity threat detection solutions evaluate multiple risks signals, including:- Device fingerprint and browser environment
- Phone number reputation and SIM change history
- Geolocation and login velocity
- Behavioral biometrics such as typing cadence
- Account changes, such as rapid password and phone number updates
Harden call centers against social engineering and deepfakes
Help desks are frequent targets. Attackers impersonate users or employees to reset credentials or bypass MFA. In addition, deepfake voice scams are increasing. Therefore, organizations should implement layered verification that combines:- Voice biometrics
- Device intelligence
- Network analysis
- Behavioral analytics
Maintain identity data hygiene
Outdated identity data creates security gaps. For example, the Colonial Pipeline breach involved a dormant VPN account that was never decommissioned. Many organizations face similar risks from inactive accounts. Best practices include:- Disabling orphaned or inactive accounts
- Immediately revoking access during offboarding
- Verifying and updating phone numbers and contact information
- Enforcing credential rotation policies
- Auditing identity records regularly