SGNL integrates Privileged Identity Management with CrowdStrike Falcon platform to accelerate incident response
PALO ALTO, Calif.–(BUSINESS WIRE)–SGNL, a leader in modern Privileged Identity Management (PIM), today announced an integration with the CrowdStrike Falcon® cybersecurity platform. This new partnership enables organizations to take precise, real-time actions against security threats through dynamic, risk-based access revocation.
By leveraging CrowdStrike’s high-fidelity security data across endpoints, identities and exposure management within the SGNL identity management platform, organizations can swiftly identify potential incidents and dynamically manage related access privileges. With this extended visibility and control, security teams can seamlessly and automatically revoke access to critical systems, enabling accelerated response and minimizing potential breach impact.
“Our integration with CrowdStrike marks a significant step in precision-driven defense,” said Erik Gustavson, Co-Founder & Chief Product Officer at SGNL. “By linking real-time threat detection with dynamic identity management, we’re enabling enterprise security teams to act with the surgical precision required to control access to critical systems during an active incident—without crossing the line into overly automated drastic responses. This partnership empowers businesses to shift from broad defensive measures to highly targeted, proactive security operations.”
Through this integration, SGNL leverages real-time threat telemetry provided by CrowdStrike to dynamically manage access privileges, helping to ensure that high-risk individuals or compromised accounts are swiftly locked out of sensitive systems, regardless of their credentials. This automated response reduces the potential for exploitation during active security incidents, providing joint customers with an additional layer of defense and control.
“Through our integration with SGNL, joint customers can utilize best-in-class threat detection from the Falcon platform to drive access policies within SGNL,” said Daniel Bernard, Chief Business Officer at CrowdStrike. “We’re enabling dynamic risk response so organizations can proactively protect their most sensitive assets from increasingly exploited identity-centric attack paths.”
Supporting CrowdStrike Users with Precision and Agility
As cybersecurity threats evolve, businesses need not only detection and alerting but also actionable, automated responses that secure their most valuable assets.
The SGNL integration with CrowdStrike provides customers with:
- Real-Time Threat Detection and Access Control: Automated and dynamic revocation of access based on risk signals and security telemetry from the Falcon platform.
- Reduced Risk of Exploitation: Immediate response actions to prevent compromised users or credentials from re-entering critical systems during an ongoing incident.
- Enhanced Security Policy Enforcement: Comprehensive visibility to help ensure that access policies are upheld, reducing the risk of unauthorized access.
To learn more about the SGNL integration in the CrowdStrike marketplace, visit SGNL’s listing here.
Watch the Integration in Action:
See how SGNL and CrowdStrike work together to secure critical systems in real-time by watching this demo video.
About SGNL
SGNL’s modern Privileged Identity Management system eliminates standing access to critical systems, granting and revoking contextual access in real-time, drastically reducing the blast radius of a possible breach. Regardless of how an identity breach infiltrates your workforce, SGNL brings in context-based intelligence and prevents them from freely navigating cloud applications like Azure, AWS, GitHub, and Salesforce, as well as on-prem systems.
It’s why global enterprises and fast-growing mid-market companies alike are turning to SGNL to reduce their identity attack surfaces. SGNL was founded in 2021 and is backed by top security technology investors, including Cisco Ventures, Costanoa Ventures, Fika Ventures, M12, Moonshots Capital, and Resolute Ventures. For more information about SGNL, visit https://sgnl.ai.
Contacts
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