cyber security

Account Takeover (ATO)

Protect your users from scams and social engineering

Detect unauthorized access during logins and live sessions before financial loss occurs.

Account takeovers
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$
4261
1
1095
5
.
9676
6
B+
Losses from Account takeover related fraud in the U.S. alone
7608
8
8573
3
%
Organizations that experience account takeover incidents
Detection & Escalation
Lost Business & Reputation
Post-Breach Response
Notification & Customer Support

Account takeover is costly, and most defenses react too late.

Correlate device, behavior, and session activity to identify account compromise early.

Detect remote access
Surface coached or manipulated behavior
Interdict high-risk actions mid-session

Scam Prevention

Social engineering and remote access attacks

Detect manipulated sessions in progress to stop scams like fake investment advisors, customer support, or romance.

Login Protection

Credential stuffing and bot-driven takeover

Shut down automated login attacks without adding unnecessary friction for legitimate users.

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Detect signs of bot activity

Identify when headless browsers, residential proxies, emulators, and virtual machines are active during a session.

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Flag non-human session behavior

Identify scripted typing cadence, expert mouse movement, and unnatural navigation timing.

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Expose credential stuffing campaigns

Analyze login bursts, password spraying, shared device IDs, and IP clustering to detect coordinated activity.

Account Monitoring

Unauthorized account changes and profile manipulation

Stop account takeover attempts before they turn into downstream fraud.

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Flag high-risk and credential changes

Monitor email, phone, password, MFA, and trusted device updates using session-level device integrity and behavioral risk signals.

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Correlate environment anomalies

Connect VPN use, IP mismatch, timezone anomalies, and behavioral shifts to detect takeover attempts.

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Escalate before funds are exposed

Dynamically restrict sessions before new payees, wires, ACH, or card activity occur.

Cross-Channel Risk

Cross-channel account takeover protection

Eliminate blind spots between digital, mobile, and call center systems.

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Extend risk controls
into the call center
Incorporate inbound and outbound call signals into session-level risk decisions.

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Maintain a single risk profile across channels
Unify onboarding history, login behavior, profile updates, device intelligence, and payment activity across all channels.
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Connect authentication and payment monitoring
Block or step-up requests across authentication, profile changes, and payments to stop takeover attempts.

AI agents for adaptive account takeover defense

Continuously investigate, summarize, and escalate ATO risk in real-time.

AI agents for adaptive account takeover defense

ATO protection that's built for real-world attacks

Device & Behavior

Deeply integrated device and behavior signals across the customer lifecycle

Assess real user interaction and device integrity to uncover emulators, remote access tools, obfuscation, and bot automation.

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Early-stage detection. Assess risk during login and live session activity, not just transactions.
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Bot and automation defense. Stop credential stuffing and scripted attacks before granting account access.
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Identity binding. Bind users to devices and behavioral baselines to detect impersonation.
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Unified signal layer. Apply the same device and behavior intelligence across products and channels.
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One platform for account takeover, fraud, and scams

Frequently
asked questions

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How is Sardine’s account takeover detection different from traditional fraud systems?

Most systems focus on transaction monitoring after money moves. Sardine evaluates risk during login and live session activity by combining device integrity, behavioral signals, infrastructure reuse, and account history.

This allows teams to detect phishing, social engineering, credential stuffing, and remote access tools before profile changes or payments occur, reducing downstream fraud and remediation workload.