Specialized AI for
cloud exploit validation

Cloud security testing is the practice of actively validating whether misconfigurations, excessive permissions, and exposed services in cloud environments can be chained into real attack paths. Rather than listing potential issues, it proves which ones an attacker could actually exploit to reach sensitive data or escalate access across AWS, Azure, and GCP.

Autonomous cloud security testing uses AI to continuously execute real attack chains against a live cloud environment without manual red team effort. Unlike scanners that report misconfigurations, it proves which vulnerabilities are actually exploitable by chaining them into full breach scenarios across AWS, Azure, and GCP.

Adversarial Exposure Validation (AEV) is a Gartner-defined security category that moves beyond detection to prove which cloud exposures are actually exploitable. AEV platforms execute real attack chains, validate findings end-to-end, and score risk by business impact rather than theoretical severity.

CSPM tools passively surface potential misconfigurations but never prove whether those exposures are exploitable. Cloud security testing is active: it executes real attack chains to show exactly which misconfigurations chain into a breach. Most teams use both, with cloud security testing providing execution-level proof of what actually matters.

Attack path analysis maps how an attacker chains IAM permissions, service trusts, and identity relationships to move laterally through a cloud environment and reach sensitive resources. Without it, security teams are left prioritizing thousands of isolated findings with no understanding of which ones combine into real threats.

No. Modern cloud security testing tools and platforms connect via least-privilege, read-only IAM roles and perform zero destructive actions. They simulate what an attacker could do by observing and chaining exploitable paths, without modifying, deleting, or disrupting any production workloads, data, or infrastructure.

Severity scores alone do not reflect real risk. Effective prioritization requires understanding which vulnerabilities chain into exploitable attack paths and weighing them by data exposure, detection difficulty, attack complexity, and business impact rather than relying on theoretical CVSS ratings.

Cloud security testing maps executed attack chains to compliance frameworks like MITRE ATT&CK, SOC 2, ISO 27001, NIST CSF, and GDPR. Each report documents which controls were validated through real simulated attacks, replacing manual spreadsheet evidence with automated, audit-ready proof.

Traditional cloud penetration testing is a periodic, point-in-time engagement that becomes outdated after your next deployment. A continuous cloud security testing platform runs attack simulations daily and adapts as your cloud changes so your security validation stays current.

Leading cloud security testing tools natively support AWS, Microsoft Azure, and Google Cloud Platform, executing attack chains across all three simultaneously with no agents, no infrastructure changes, and no disruption to production workloads.