Stop SaaS data breaches

Challenges with SaaS security
Gaps in detection coverage
Critical SaaS applications such as GWS, GitHub, OpenAI, and JIRA remain under-monitored, leaving blind spots where attackers can access some of your company’s most sensitive data.
Limited visibility into user actions
Most teams can’t answer who did what, when, and where across SaaS and IdP managed environments, slowing investigations, insider threat detection, and threat hunting.
Compliance gaps in SaaS environments
Default SaaS controls often fall short of audit and regulatory requirements, whether it’s limited log retention or missing policy enforcement, leaving organizations exposed to compliance risk.
Risky misconfigurations and poor hygiene
Weak or missing MFA, missing security controls, excessive permissions, and other misconfigurations create an open door for attackers and make enforcing consistent SaaS security hygiene difficult.
How Exaforce empowers your SOC for SaaS security
Exaforce’s AI-powered SaaS threat detection correlates identity, endpoint, and cloud activity to slash false positives and expose real compromises with full visibility and automated workflows to augment your SOC team or our service.
Exaforce connects the dots across SaaS, exposing real risks instantly


Comprehensive SaaS coverage
Exaforce monitors collaboration, version control systems, and other critical apps with ML-based detections, closing blind spots where sensitive data could be exposed.


Full user action visibility
Exaforce tracks every action across SaaS environments and stitches related events together across systems, creating clear timelines that accelerate investigations and insider threat detection.


Built-in compliance coverage
Exaforce helps organizations meet compliance requirements across SaaS environments with extended log retention and continuous checks against configuration requirements.


Continuous configuration assurance
Exaforce automatically detects weak controls and configurations like public exposures, missing MFA, or excessive permissions, guiding remediation to enforce strong SaaS hygiene.
Frequently asked questions
Many organizations struggle to meet audit and regulatory requirements for SaaS environments due to limited native log retention, missing activity visibility, and inadequate policy enforcement. Exaforce addresses these gaps by providing extended log retention beyond what SaaS vendors natively offer, storing activity data for over a year in cost-efficient storage with full queryability, continuous monitoring against compliance requirements like SOC 2, HIPAA, and industry-specific regulations, automated detection of policy violations such as data sharing outside approved domains, complete audit trails showing who accessed what data when and from where, and evidence collection capabilities for demonstrating compliance during audits. This eliminates the need to maintain separate compliance tools or manually collect evidence across multiple SaaS platforms.
Exaforce continuously monitors for security hygiene issues and risky configurations across SaaS environments including publicly shared files and folders with sensitive data, accounts without MFA enforcement, excessive administrative permissions granted to regular users, OAuth applications with overly broad access scopes, external sharing enabled on confidential resources, inactive user accounts with active credentials, service accounts with unused high privileges, and stale API tokens with broad permissions. Rather than requiring periodic manual audits, the platform provides continuous configuration assessment with automated detection and prioritized remediation guidance. Findings integrate with broader threat context, so a misconfigured public share combined with unusual access patterns escalates as a higher priority threat.
Most SaaS attacks involve multiple stages across different applications, such as credential compromise in Okta followed by suspicious file access in Google Workspace and code repository cloning in GitHub. Traditional CASB and SSPM tools monitor applications in isolation and miss these cross-system attack patterns. Exaforce correlates identity activity, authentication events, resource access, and data movement across all connected SaaS platforms using the Semantic Model to resolve the same user identity across different systems, the Behavioral Model to identify deviations from established access patterns like unusual authentication locations, abnormal file access volumes, or atypical application usage times, and the Knowledge Model to connect these anomalous events into coherent attack chains. When an account authenticates from unusual locations in Okta, then immediately accesses sensitive repositories in GitHub and downloads large volumes of data from Google Drive, all flagged as behavioral anomalies, the Knowledge Model synthesizes these correlated signals into a complete attack narrative that siloed monitoring cannot identify.
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