Continuously discover, monitor, and secure your entire external attack surface. Gain complete visibility into domains, cloud infrastructure, shadow IT, and third-party integrations before attackers exploit them.
Your organization's digital footprint expands daily. Without continuous monitoring, unknown and forgotten assets become security blind spots that attackers exploit.
Developers spin up cloud instances, marketing teams launch campaigns on third-party platforms, and acquisitions bring inherited infrastructure—all without central visibility or security oversight.
Forgotten staging environments, decommissioned services with active DNS records, legacy systems, and contractor-managed infrastructure create entry points you don't know exist.
SaaS applications, vendor connections, CDN configurations, and API integrations extend your attack surface beyond your direct control, creating supply chain vulnerabilities.
Traditional asset inventories are outdated within hours. Manual spreadsheets can't keep pace with cloud-native development, resulting in critical visibility gaps during security assessments.
Automated discovery and continuous monitoring of your entire external-facing infrastructure
Automated scanning across domains, IP ranges, cloud providers, and third-party services to build complete inventory
Analyze each asset for vulnerabilities, misconfigurations, exposed services, and security posture weaknesses
Context-aware risk scoring based on asset criticality, exploitability, and business impact to focus remediation
Real-time alerting on new assets, configuration changes, emerging vulnerabilities, and threat indicators
Unified visibility across your entire external infrastructure
Enterprise-grade features for comprehensive attack surface management
Passive and active reconnaissance techniques discover assets across your entire digital footprint. Certificate transparency monitoring, DNS enumeration, port scanning, and cloud API integration ensure comprehensive coverage without manual intervention.
Real-time correlation with CVE databases, exploit frameworks, and threat intelligence feeds. Automatically identify vulnerable software versions, misconfigurations, and exploitable conditions across your infrastructure.
Context-aware scoring considers asset criticality, exposure level, exploitability, and business impact. Focus remediation efforts on risks that matter most to your organization rather than arbitrary vulnerability counts.
Real-time detection of new assets, DNS modifications, certificate changes, and configuration drift. Scheduled scans run automatically with configurable frequency from hourly to weekly based on your requirements.
Automatically classify assets by business unit, team ownership, environment type, and criticality. Integration with CMDB and asset management systems maintains accurate attribution as your organization evolves.
Pre-built reports for SOC 2, ISO 27001, PCI DSS, and GDPR requirements. Export asset inventories, vulnerability assessments, and remediation timelines for auditors with complete historical tracking.
Systematic approach to identifying, assessing, and securing external assets
Begin with comprehensive asset enumeration across all attack vectors. The platform aggregates data from passive reconnaissance, active scanning, cloud provider APIs, and DNS zone files to build a complete inventory. This baseline includes known and unknown assets, providing immediate visibility into shadow IT and forgotten infrastructure.
Each discovered asset undergoes security analysis including vulnerability scanning, configuration assessment, exposure evaluation, and technology stack fingerprinting. Risk scores incorporate both technical severity and business context—a vulnerable customer-facing API receives higher priority than an internal development tool.
Assets are automatically mapped to responsible teams based on DNS patterns, cloud account tags, and organizational structure. Unknown asset owners are flagged for investigation. This ensures accountability and enables distributed remediation rather than security team bottlenecks.
Ongoing monitoring detects new assets, configuration changes, and emerging vulnerabilities. Automated workflows create tickets in JIRA or ServiceNow for remediation. Track progress through dashboards showing attack surface metrics over time—measuring reduction in exposed assets, unpatched vulnerabilities, and mean time to remediation.
Attack surface management delivers value across organizational contexts
Maintain asset inventory across business units, geographies, and cloud accounts. Demonstrate security posture to executives with metrics on attack surface size, risk trends, and remediation velocity.
Track ephemeral infrastructure in AWS, Azure, and GCP. Detect misconfigured cloud resources before they're exploited. Ensure development teams follow security standards without slowing deployment velocity.
Perform reconnaissance using the same tools attackers use. Validate findings from external assessments. Maintain continuous visibility between periodic penetration tests to catch new vulnerabilities.
Generate comprehensive asset inventories for SOC 2, ISO 27001, and PCI DSS audits. Demonstrate continuous monitoring controls. Export historical data showing asset management and vulnerability remediation processes.
Rapidly assess acquired company infrastructure during due diligence. Identify security risks before integration. Map assets to facilitate network consolidation and decommissioning decisions.
Define and communicate program scope to security researchers. Ensure bounty platforms have current asset lists. Discover assets before researchers do to control disclosure timelines.
| Capability | Manual Inventory | Vulnerability Scanners | bspeka ASM Platform |
|---|---|---|---|
| Asset discovery | ✗ Manual documentation | ✗ Requires known targets | ✓ Fully automated |
| Shadow IT detection | ✗ Not possible | ✗ Not included | ✓ Continuous discovery |
| Cloud infrastructure | ✗ Manual tracking | Partial coverage | ✓ Native integration |
| External attacker perspective | ✗ Internal view only | ✗ Authenticated scanning | ✓ Outside-in approach |
| Risk prioritization | ✗ Manual assessment | CVSS scores only | ✓ Context-aware scoring |
| Continuous monitoring | ✗ Quarterly updates | Scheduled scans only | ✓ Real-time alerts |
| Third-party assets | ✗ Not tracked | ✗ Out of scope | ✓ Full visibility |
| Historical tracking | ✗ Spreadsheet versioning | Limited retention | ✓ Complete audit trail |
| Setup complexity | Weeks of manual work | Days of configuration | 15 minutes to production |
Connect attack surface management with your existing security infrastructure
Native API integration with AWS, Azure, and Google Cloud Platform. Automatically discover EC2 instances, storage buckets, load balancers, databases, and serverless functions. Read-only access ensures no modifications to your infrastructure.
AWS • Azure • GCP • DigitalOcean • Linode
Automatically create tickets for new high-risk findings in JIRA, ServiceNow, or Linear. Bidirectional sync tracks remediation progress. Custom workflows route issues to appropriate teams based on asset ownership.
JIRA • ServiceNow • Linear • Asana • Monday.com
Real-time notifications to Slack, Microsoft Teams, or email when critical findings emerge. Customizable alert thresholds prevent notification fatigue. Digest summaries for regular attack surface reports.
Slack • Microsoft Teams • Email • PagerDuty • Webhooks
Export findings to SIEM platforms for correlation with security events. Share asset lists with vulnerability scanners for targeted assessments. Integrate with threat intelligence platforms for enrichment.
Splunk • Elastic • Tenable • Qualys • Rapid7
Direct integration with Cloudflare, AWS Route 53, Google Cloud DNS, and Azure DNS. Pull complete zone files for guaranteed subdomain coverage. Automatic synchronization when DNS records change.
Cloudflare • Route 53 • Azure DNS • Google Cloud DNS
Synchronize with Configuration Management Databases (CMDB) and IT asset management systems. Enrich discovered assets with business context like ownership, criticality, and compliance requirements.
ServiceNow CMDB • Device42 • BMC • CSV Import/Export
Begin with comprehensive discovery across all known domains, IP ranges, and cloud accounts. The initial scan establishes your baseline attack surface. Review unknown assets with infrastructure teams to classify as legitimate, shadow IT, or candidates for decommissioning.
Define clear ownership for every asset or asset category. Use tagging conventions in cloud environments to enable automatic attribution. When ownership is unclear, escalate to management rather than leaving orphaned assets unmonitored.
Configure scan frequency based on your change velocity. High-frequency development environments benefit from hourly scans, while stable infrastructure can use daily monitoring. Balance thoroughness with resource consumption and rate limiting considerations.
Not all vulnerabilities require immediate attention. Focus on customer-facing systems, authentication endpoints, and data handling infrastructure first. Low-priority findings on internal development tools can be addressed in regular maintenance cycles.
Track metrics over time: total external assets, high-risk vulnerabilities, mean time to remediation, and percentage of assets with known ownership. Use these KPIs to demonstrate security program effectiveness to leadership and drive continuous improvement.
Make attack surface management part of deployment pipelines. Automatically scan new infrastructure as it's provisioned. Provide developers with self-service access to findings for their assets. Shift security left by catching issues before production deployment.
Start with a free 14-day trial. Full platform access, no credit card required. Enterprise plans include dedicated support, custom integrations, and unlimited assets.
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