Security Phoenix ASM ASPM Cloud Security Platform

Security teams running on AWS face an unsustainable equation. 220,000 CVEs were recorded in 2024, a 35% year-over-year increase, while security budgets grew just 6%. Security-to-developer ratios sit at 1:40 or worse. Only 110% of findings are actually exploitable. Scanner sprawl across SAST, SCA, container, and cloud tools generates duplicate noise that buries the work that matters. Phoenix Security replaces CVSS-only triage with context-driven prioritization. The platform unifies vulnerability management, exposure management, and application security into a single contextualized backlog routed to the team that owns the fix. The 4D Risk Model Every vulnerability is scored across four dimensions:

Exploitability CISA KEV, EPSS, weaponization evidence, ransomware correlation Exposure internet-facing vs. internal, IAM aware accessibility Reachability static code path analysis plus runtime confirmation Business impact application tier, revenue contribution, compliance scope

Only vulnerabilities that score across all four dimensions reach the engineering backlog. Severity scores without these dimensions generate noise, not signal. Code-to-Cloud Reachability Phoenix correlates findings from source code through container builds to running workloads on EKS, ECS, Fargate, and Lambda. Container lineage analysis traces each vulnerability back to its origin and forward to the deployed image, suppressing findings in unused libraries and in images that never ship to production. Static reachability identifies vulnerable code paths. Runtime reachability confirms whether vulnerable libraries are actually loaded. The combination eliminates the false-positive flood that comes from treating every CVE in a container registry as urgent. Ownership Attribution with PYRUS The PYRUS metadata layer maps every finding to the accountable team automatically. It reads AWS tags, Kubernetes labels, CODEOWNERS, Backstage system catalogs, ServiceNow CMDB, and CI/CD pipeline metadata to build a continuously synchronized ownership graph. Tickets and pull requests route to the right developer without manual triage. AI Agents Under Human Control Phoenix uses three purpose-built AI agents that activate after context and prioritization are established:

The Researcher correlates CVEs with CISA KEV, EPSS, exploit databases, ransomware campaigns, and threat actor TTPs. The Analyzer simulates attack paths across code-to-cloud architecture and confirms exploitable reachability. The Remediator generates IaC patches, dependency upgrade plans, and grouped fix bundles routed to the right team.

The model is AI-Agent-Second: agents amplify human decisions instead of replacing them. No autonomous remediation in production paths. Quantified Customer Outcomes

ClearBank (Fintech): 98% reduction in container vulnerabilities (~467K to ~8K), 96% drop in criticals (1,470 to 48), $15M in developer time recovered, no security headcount increase. Bazaarvoice (Retail): 94% container vulnerability reduction, zero criticals reached in two weeks, $6.3M in developer efficiency reclaimed, 32K automated ownership rules. Ad-Tech (Technology): 78% active container vulnerability reduction, 82.4% SCA-to-container deduplication, $1.95M in remediation time saved.

AWS-Native Integrations

EKS, ECS, Fargate, Lambda workload coverage AWS Security Hub, Amazon Inspector, GuardDuty, and ECR vulnerability ingestion AWS tag-driven ownership and business unit grouping CloudFormation and Terraform IaC remediation outputs IAM-aware exposure and blast radius analysis S3, IAM, and cloud resource posture correlation with application context

Recognition Phoenix Security is recognized as a Major Player in the IDC MarketScape: Worldwide ASPM 2025 Vendor Assessment, cited for ownership-driven remediation, the AI Agent framework, and measurable customer impact across financial services, retail, and technology sectors. Built For CISOs, AppSec engineers, DevSecOps leaders, and security architects running applications on AWS who need to move beyond scanner volume metrics toward measurable risk reduction and developer-aligned remediation workflows.