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About
IBM Randori is an enterprise-grade attack surface management solution that continuously monitors and maps your organization's external-facing digital assets — including shadow IT, cloud misconfigurations, and exposed services — from an attacker's point of view. Acquired by IBM in 2022, Randori combines automated reconnaissance with AI-driven risk prioritization to give security teams a clear, continuously updated inventory of what attackers can actually see and exploit. Randori Recon provides passive, continuous discovery of internet-exposed assets, uncovering forgotten infrastructure, subsidiaries, and third-party exposures that traditional vulnerability scanners often miss. Its proprietary Target Temptation scoring system ranks targets based on real attacker methodology, helping teams focus remediation efforts where they matter most. Randori Attack, the platform's offensive component, validates findings with real, safe attack emulation — allowing red teams to confirm exploitability without disruption. The platform integrates natively with IBM Security QRadar SIEM and broader IBM Security ecosystems, enabling seamless correlation of attack surface findings with internal threat intelligence. Ideal for enterprise security operations centers (SOCs), red teams, and CISOs seeking to reduce exposure before attackers find it, Randori provides continuous, automated offensive intelligence that turns reactive security posture into a proactive defense strategy.
Key Features
- Continuous Attack Surface Discovery: Automatically and continuously discovers all internet-exposed assets — including shadow IT, cloud resources, and subsidiary infrastructure — without requiring agent installation.
- Target Temptation Scoring: Proprietary AI-based scoring system that ranks exposed assets by how attractive they are to real attackers, enabling security teams to prioritize remediation by actual risk.
- Real Attack Emulation: Validates discovered exposures using safe, real-world attack techniques to confirm exploitability and measure true risk without disrupting production environments.
- Attacker's Perspective Reconnaissance: Passively maps your external footprint the same way adversaries do — surfacing misconfigurations, exposed credentials, forgotten assets, and third-party risks.
- IBM Security Ecosystem Integration: Integrates with IBM QRadar SIEM and other IBM Security tools to correlate external attack surface findings with internal threat detection and response workflows.
Use Cases
- Continuously discovering and inventorying all internet-exposed assets across an enterprise, including cloud, subsidiaries, and shadow IT.
- Prioritizing remediation efforts by identifying which exposed assets are most attractive to real-world attackers using AI-driven scoring.
- Validating security controls by running safe, real attack emulations against discovered exposures to confirm actual exploitability.
- Supporting red team and penetration testing workflows with continuous offensive intelligence and up-to-date attack surface mapping.
- Integrating external attack surface data into SIEM and SOC workflows via IBM QRadar to enhance threat detection and incident response.
Pros
- Attacker-Centric Approach: Models real adversary reconnaissance techniques to identify and prioritize exposures that pose genuine risk, rather than generic vulnerability counts.
- Continuous, Agentless Discovery: No agents or network access required — Randori discovers assets externally and continuously, keeping the attack surface inventory always current.
- Seamless IBM Integration: Deep integration with the IBM Security portfolio allows SOC teams to operationalize attack surface data within existing workflows and tooling.
Cons
- Enterprise-Only Pricing: Randori is priced for large enterprises, making it inaccessible to small and mid-sized businesses without significant security budgets.
- Limited Standalone Flexibility: The platform is most powerful within the IBM Security ecosystem; organizations without existing IBM tooling may see reduced integration value.
- Steep Learning Curve: Advanced features like attack emulation and temptation scoring require experienced security professionals to interpret and act on findings effectively.
Frequently Asked Questions
What is IBM Randori?
IBM Randori is an AI-powered attack surface management (ASM) platform that continuously discovers, maps, and prioritizes an organization's externally exposed digital assets from an attacker's perspective, helping security teams reduce risk proactively.
How is Randori different from traditional vulnerability scanners?
Unlike traditional scanners that require internal network access and agent deployment, Randori works externally — the same way real attackers do — discovering assets passively and continuously, including shadow IT and forgotten infrastructure that internal tools miss.
What is 'Target Temptation' scoring?
Target Temptation is Randori's proprietary AI scoring model that ranks exposed assets based on how attractive they are to real attackers, factoring in exploitability, asset value, and attacker opportunity to guide prioritized remediation.
Does Randori integrate with other security tools?
Yes. Randori integrates natively with IBM Security QRadar SIEM and other IBM Security products, and also supports integrations with third-party ticketing and SOAR platforms for operationalizing findings.
Who is IBM Randori designed for?
Randori is designed for enterprise security teams including CISOs, security operations centers (SOCs), and red teams that need continuous visibility into their external attack surface and want to proactively validate and reduce exposure.
