Upwind Launches AI-Powered Exposure Validation Engine for Dynamic CSPM
▼ Summary
– Upwind’s Exposure Validation Engine introduces real-time validation into Cloud Security Posture Management (CSPM) to test cloud exposures under real-world conditions.
– The engine uses an AI-based framework combining configuration analysis with live exposure testing to validate vulnerabilities as attackers would exploit them.
– During testing, it identified terabytes of sensitive data exposed by Fortune 2000 companies that traditional CSPMs had missed.
– This approach reduces false positives by 90% by focusing only on genuinely exploitable exposures with evidence-backed findings.
– It provides security, engineering, and compliance teams with reproducible commands and audit-ready evidence for faster issue resolution and verification.
Upwind has introduced a new Exposure Validation Engine designed to bring real-time, dynamic validation to Cloud Security Posture Management (CSPM). This technology allows security, engineering, and compliance teams to accurately confirm live cloud exposures under actual operating conditions, moving beyond static configuration checks.
Amiram Shachar, CEO of Upwind, emphasized the challenge cloud security professionals face in safeguarding digital assets within constantly shifting cloud environments. He explained that the company’s goal is to simplify the work of cloud security leaders by delivering greater clarity, evidence-based findings, and precision. With the new engine, cloud security posture and exposure management transitions from a noisy, reactive process into a precise, evidence-driven workflow, enabling security teams to achieve organizational impact more quickly.
The core of this dynamic CSPM capability is an AI-based validation framework that merges configuration analysis with live exposure and reachability testing. This method mimics how attackers probe systems, using external reachability checks to scan live internet pathways and verify whether assets are genuinely accessible and exploitable.
During initial testing over two weeks, Upwind safely identified tens of terabytes of sensitive data exposed by Fortune 2000 organizations. This included AI models, datasets, and entire disks, revealing widespread and often overlooked real-world exposures that traditional CSPM tools had missed.
By validating each potential exposure in real time under attacker-simulated conditions, Upwind transforms theoretical posture data into verified, evidence-based risk intelligence. Every exposure comes with step-by-step evidence, reproducible commands, and structured outputs, ensuring complete transparency.
This evidence-driven workflow replaces guesswork with precision. Early results indicate a 90% reduction in false positives, significantly cutting down noisy misconfiguration alerts so teams can focus only on exposures that are truly exploitable.
Upwind’s dynamic CSPM is specifically built for teams managing complex, high-volume cloud environments where misconfigurations are common and context is essential. Whether overseeing sprawling multi-cloud infrastructures or meeting compliance requirements, the Exposure Validation Engine supports organizations in several ways.
Security teams can eliminate alert fatigue by confirming which findings are genuinely exploitable, allowing them to prioritize real risks effectively. Engineering teams benefit from reproducible, step-level commands that make it simple to validate and fix issues quickly, without guesswork. Compliance teams gain audit-ready evidence for every validation performed, providing regulators and auditors with clear proof of control effectiveness.
This dynamic validation engine represents a major milestone in Upwind’s mission to deliver certainty in cloud security. It is the first solution to integrate configuration analysis with real-time, runtime validation, setting a new standard as the first CSPM to deliver runtime-first validation across the entire posture management layer.
(Source: HelpNet Security)