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Prevent account takeover

Monitor all connected identities (human, non-human, and AI) for active threats, misuse, and abuse across IaaS and SaaS.

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An identity inventory in Exaforce totalling records by type across Google Workspace, AWS, Azure and Slack, with enterprise user detail listed below.

Challenges with identity threats

  1. Increased attack surface

    The explosion of cloud services, non-human identities, and AI agents blurs routine activity from malicious actions, forcing security teams to find the threat needle in an identity haystack.

  2. Rising account takeover risks

    Identities are the keys to cloud accounts, making them top targets for compromise and credential theft, especially high-privilege accounts used by admins and automation tools like CI/CD pipelines.

  3. Missed signals

    Identity compromises are getting faster, and critical clues, such as sudden role changes or unusual login patterns, can be hidden within fragmented logs, obscuring early signs of identity misuse.

  4. Slow response

    Understanding blast radius, confirming intent, revoking access, and rotating secrets is slow and error-prone in today’s IAM consoles, delaying response and extending attacker dwell time.

Exaforce exposes hidden identity attacks and accelerates investigations

Comprehensive visibility

Exaforce provides a complete inventory of human, non-human, AI agent, and third-party identities, their effective permissions, credentials, and actions to provide complete visibility into identities.

Stops account takeover

Continuously monitor high-privilege accounts and service identities for credential theft and abuse, detecting compromises across IaaS and SaaS before attackers can escalate.

Catch hidden attack signals

Correlate fragmented identity logs to instantly surface buried indicators such as role changes, unusual logins, and permission escalations, exposing lateral movements and persistence attacks.

Accelerated response

Instantly maps blast radius, confirms malicious intent, and automates access revocation and secret rotation, reducing attacker dwell time from hours to minutes.

Fortune 500

Pioneering early with Exaforce and their novel agentic SOC platform has significantly enhanced our detection and response for cloud services, such as GitHub, used by our development teams, in spotting identity misuse. The platform delivered actionable cloud insights within 24 hours of onboarding - one example was identifying 3rd party vendor misuse of their credentials in our environment. The rich data platform provides quick answers to hard questions & tasks across our SaaS and IaaS environments.

Daniel Krasnokucki

Head of Product Security at F500 Digital Infra Company

Frequently asked questions

How does Exaforce catch identity attacks that traditional tools miss?
Traditional identity security tools operate on single data sources and miss attacks that span multiple systems. Exaforce correlates fragmented logs across IaaS platforms, SaaS applications, identity providers, and endpoint systems to surface multi-stage attacks. For example, an attacker obtaining credentials via phishing, authenticating from a new location, gradually escalating permissions through role modifications, and eventually accessing sensitive data leaves traces across multiple systems that appear benign in isolation. Our Semantic Model resolves identities across all sources, the Behavioral Model detects subtle deviations from established patterns, and the Knowledge Model connects these signals into coherent attack chains that reveal lateral movement, persistence mechanisms, and privilege abuse that fragmented monitoring cannot detect.
How does Exaforce detect account takeover attempts across cloud and SaaS platforms?
Exaforce continuously monitors authentication patterns, permission usage, and resource access across all connected identity providers and cloud platforms. The Behavioral Model establishes baselines for each identity covering geographic locations, access times, device characteristics, peer group behavior, and resource interaction patterns. When deviations occur, such as impossible travel scenarios, unusual privilege escalation, credential sharing between devices, or anomalous API usage, the Knowledge Model correlates these signals with business context to distinguish legitimate changes from compromise attempts. High-privilege accounts and service identities receive continuous monitoring with immediate alerting for credential theft indicators, delivering investigated findings with clear disposition recommendations rather than raw anomaly alerts requiring manual triage.
What does "effective permissions" mean and why does it matter?
Effective permissions represent the actual access an identity has in practice, accounting for direct assignments, group memberships, inherited roles, policy attachments, resource-based policies, and permission boundaries. Cloud IAM systems like AWS and GCP have complex permission hierarchies where an identity's true access differs significantly from what individual policy documents suggest. Exaforce analyzes the complete permission chain to determine what resources each identity can actually access and what actions they can perform. This visibility is critical for detecting privilege escalation attacks where attackers manipulate policies or group memberships to gain elevated access, and for blast radius assessment during incident response to understand what a compromised identity could access.
What types of identities does Exaforce monitor beyond traditional user accounts?
Exaforce provides complete visibility across all identity types in your environment, including human users, non-human identities like service accounts and IAM roles, AI agents and automation tools, federated identities from external IdPs, third-party contractor accounts, and machine identities used by CI/CD pipelines and infrastructure automation. Our Semantic Model understands cloud-native identity constructs across AWS, GCP, Azure, Okta, Google Workspace, and major SaaS platforms, tracking their effective permissions, credential usage, and behavioral patterns. This comprehensive coverage eliminates the blind spots that traditional identity security tools create by focusing only on human users.

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