Vulnerability Management is Dead
Too many CVEs, never enough time. Security teams are overwhelmed by vulnerabilities from siloed tools. Lengthy patch cycles, manual prioritization of findings, and a lack of context into root causes makes it nearly impossible to get the backlog under control.
Stop Managing, Start Fixing
Stop Managing, Start Fixing
ZEST unifies vulnerabilities across your entire security stack into a single, prioritized view. The platform automates root cause identification and enables quick-win remediations - patch, upgrade, etc. that eliminate risk fast, with zero impact to your business.
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Quick Win Remediations
Automate deep root cause analysis - tracing CVEs back to the installed package, image, or cluster to remediate effectively while making the biggest dent in your backlog.
AI Intelligent Prioritization
Prioritize vulnerabilities based on exploitability, reachability, business criticality, existing controls, and remediation impact to focus on truly critical risks while maximizing exposure reduction.
Meet SLAs and Stay Compliant
Meet various regulatory compliance requirements and strict SLAs by implementing a repeatable and standardized vulnerability management and remediation program.
Unified vulnerability management (UVM) is a cybersecurity approach that consolidates vulnerability detection, prioritization, and remediation across cloud infrastructure, applications, containers, and on-prem systems into a single platform. Instead of forcing security teams to triage findings across siloed scanners, a unified vulnerability management platform normalizes data into a unified model, correlates risk across environments, and prioritizes the exploitable attack paths that actually reduce exposure. ZEST delivers UVM as an action layer, not just a reporting layer, so teams move from visibility to measurable risk resolution.
A unified vulnerability management platform connects to every vulnerability source in your stack, including cloud security tools, application scanners, infrastructure scanners, container and image scanners, and attack surface management feeds, and aggregates their findings into one operational layer. It deduplicates overlapping alerts, normalizes severity scoring, enriches each finding with business and exploitability context, and routes prioritized fixes into engineering workflows. ZEST goes a step further by using a Multi-Agent AI system to simulate millions of resolution paths per vulnerability, identifying the fastest, lowest-impact way to eliminate each exposure.
Traditional vulnerability management focuses on scanning and reporting, where each tool produces its own list of CVEs and security teams manually correlate, prioritize, and chase remediation across spreadsheets and tickets. A unified vulnerability management platform replaces that fragmented model with a single data fabric, risk-based prioritization that goes beyond CVSS, and automated remediation workflows. The shift is from managing vulnerability lists to actually closing the remediation gap, which is exactly what ZEST is built to do.
Traditional vulnerability management was built for static, on-prem environments with predictable patch cycles. Modern infrastructure is multi-cloud, containerized, and constantly changing, with every environment introducing new scanners, new data formats, and new attack surface. Security teams now discover vulnerabilities far faster than they can remediate them, while attackers exploit new CVEs within days. Without consolidation, contextual prioritization, and remediation automation, backlogs grow indefinitely no matter how good the scanning is, which is why a unified vulnerability management platform like ZEST was built to operationalize resolution rather than reporting.
Risk-based vulnerability management prioritizes vulnerabilities based on real-world exploitability rather than raw severity scores. Instead of patching by CVSS alone, it factors in exploit availability, reachability, asset criticality, internet exposure, existing compensating controls, and live threat intelligence. ZEST applies this model with AI-driven analysis that weighs all of these factors simultaneously, so teams stop chasing thousands of "critical" CVEs and focus on the small subset of vulnerabilities that actually expand attack surface.
A UVM platform improves prioritization by correlating vulnerability data with environmental and business context that any single scanner lacks. It analyzes attack paths across identity, network, and asset relationships, accounts for mitigating controls already in place, and weighs the blast radius of each exposure. ZEST's AI engine takes this further by simulating millions of possible resolution paths per vulnerability and ranking them by which fixes will eliminate the most exposure with the least operational impact, not just which findings have the highest score.
Root cause remediation traces a vulnerability back to its origin, such as the installed package, base image, IaC template, or misconfigured cluster, instead of fixing each downstream instance individually. A single vulnerable base image can produce thousands of CVE findings, and remediating at the root closes all of them in one action. This is one of the highest-leverage capabilities in any modern unified vulnerability management platform because it turns a backlog of thousands of tickets into a handful of meaningful fixes. ZEST automates this analysis end to end, mapping each finding to its source so security and engineering teams make the biggest dent in their backlog with the least effort.
A UVM platform compresses remediation timelines by eliminating the manual work between detection and fix. It auto-correlates duplicate findings across scanners, generates ready-to-deploy remediation guidance, routes work to the right engineering owner, and offers mitigation strategies when patching isn't immediately possible. ZEST is purpose-built for this stage of the lifecycle, delivering Security as Code outputs (such as Terraform and CloudFormation templates) directly into DevOps workflows and recommending cloud guardrails when a patch isn't yet available, so teams move from weeks-long remediation cycles to resolving exposures in days or hours.
Cloud vulnerability management is the practice of identifying and resolving vulnerabilities across cloud infrastructure, workloads, containers, and serverless services. Cloud-native environments are highly dynamic, with containers spinning up and disappearing in minutes and configurations changing continuously, which makes periodic scanning and manual triage ineffective. A unified vulnerability management platform is purpose-built for this reality, ingesting data continuously across AWS, Azure, GCP, and Kubernetes, correlating findings with real attack paths, and resolving issues at the configuration or infrastructure-as-code layer where they originate. ZEST was built cloud-native from day one and operates natively across all major cloud and on-prem ecosystems.
AI transforms a unified vulnerability management platform from a reporting layer into an action layer. AI-driven systems automate exploitability analysis, simulate attack paths across compensating controls, and generate remediation plans that previously required hours of analyst work. ZEST applies a Multi-Agent AI system that simulates millions of possible resolution paths for each vulnerability, predicts business impact, and recommends the optimal fix (patch, upgrade, configuration change, or guardrail) for each exposure. This shifts security teams from reactive ticket-chasing to proactive exposure reduction.
