Account Takeover
Monitoring

Beyond Detection, Toward Digital Resilience

See the Risk Behind Every Account

Knowing the Risk
Behind Every Account

Account Takeover Monitoring goes beyond the credentials themselves, proactively identifying real exploitability and the security risk it poses to your organization.

Market Needs & Client Challenges

Exposed Accounts, Unclear Impact

Credentials Exposed, Unknown Impact.

Single Account Takeover,
Hidden Impact

  • Abnormal logins or account takeovers are detected, but it is not easy to grasp which systems and data the attacker subsequently accessed and whether it led to further compromise.
  • Because a single account takeover can be the starting point for a full system breach, a framework that analyzes account-centric access history alongside associated assets is needed.

Risk Without Context

  • Administrator accounts and regular user accounts carry different risk levels, but most security events are handled at the same level, making it difficult to judge what to respond to first.
  • Without considering an account's privilege level, data sensitivity, and business impact together, there is a danger of missing account takeovers that carry genuinely high risk.

Alert Overload,
Investigation Delays

  • Administrator accounts and regular user accounts carry different risk levels, but most security events are handled at the same level, making it difficult to judge what to respond to first.
  • Without considering an account's privilege level, data sensitivity, and business impact together, there is a danger of missing account takeovers that carry genuinely high risk.
Solution Overview & Benefits

Account-centric
Threat Visibility & Response

Response Framework Built Around Account Threats

What is Account Takeover Monitoring?

Administrator accounts and regular user accounts carry different risk levels, but most security events are handled at the same level, making it difficult to judge what to respond to first. Without considering an account's privilege level, data sensitivity, and business impact together, there is a danger of missing account takeovers that carry genuinely high risk.

Account-centric Attack Visibility

By comprehensively analyzing authentication information and user behavior around the account, it transparently visualizes an attacker's movement path across multiple systems and even the scope of further hidden compromise.

Credential LeakAttack Path Tracing

Relationship-based Impact Analysis

By analyzing the connections among users, systems, and data so that the compromise of a single account does not spread across the entire organization, it assesses the potential for the attack to spread and its potential impact, and identifies cascading risks that are difficult to grasp from a single event.

Account privilege analysisRelationship-based analysisCascading risk identification

Risk-driven Decision Support

By comprehensively assessing account criticality, access privileges, data sensitivity, and business impact, it prioritizes the identification of genuinely high-risk incidents and presents a response direction, allowing limited security resources to focus on the most important threats.

Risk-based prioritizationCritical account protectionAccount risk management
Proven Expertise & Operational Excellence

Risk-based Account Exposure Intelligence

Credential Exposure Intelligence, Prioritized by Risk

Critical Asset Filtering for Account Risk Assessment

High-privilege accounts connected to critical assets and the accounts of key employees can lead to greater business impact than regular accounts. Using a critical asset classification system and employee account filtering, S2W selects leaked information and provides stealer infection data alongside it to support the assessment of account leak risk.

  • Prioritized identification of critical assets

    Prioritized identification of leaked information centered on critical assets and key employee accounts

  • Dimensional stealer infection analysis

    Analysis of the causes and risk level of account leaks based on stealer infection data

  • Deriving response priorities

    Deriving response priorities that consider account criticality and asset value

Preventing Cascading Risks from Account Exposure(ATO+DRP)

Leaked account information does not stop at mere exposure—it becomes the starting point for actual account takeover and further compromise. By correlating dark web leak data with internal account data, S2W identifies the potential for account takeover early and helps prioritize the management of at-risk accounts.

  • Account information correlation analysis

    Correlating dark web leak data with internal account information

  • Early identification of compromise potential

    Early identification of the potential for account takeover and further compromise

  • Prioritized management of at-risk accounts

    Prioritized management of at-risk accounts considering privilege level and business impact

Critical Asset Filtering for Account Risk Assessment

High-privilege accounts connected to critical assets and the accounts of key employees can lead to greater business impact than regular accounts. Using a critical asset classification system and employee account filtering, S2W selects leaked information and provides stealer infection data alongside it to support the assessment of account leak risk.

  • Prioritized identification of critical assets

    Prioritized identification of leaked information centered on critical assets and key employee accounts

  • Dimensional stealer infection analysis

    Analysis of the causes and risk level of account leaks based on stealer infection data

  • Deriving response priorities

    Deriving response priorities that consider account criticality and asset value

Preventing Cascading Risks from Account Exposure(ATO+DRP)

Leaked account information does not stop at mere exposure—it becomes the starting point for actual account takeover and further compromise. By correlating dark web leak data with internal account data, S2W identifies the potential for account takeover early and helps prioritize the management of at-risk accounts.

  • Account information correlation analysis

    Correlating dark web leak data with internal account information

  • Early identification of compromise potential

    Early identification of the potential for account takeover and further compromise

  • Prioritized management of at-risk accounts

    Prioritized management of at-risk accounts considering privilege level and business impact

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