PlexTrac’s automated platform accelerates report writing and the findings handoff by enabling pentesters to reuse content, leverage over 25,000 pre-built findings writeups (CWEs, CVEs, and KEVs), customize templates without code, analyze data across sources, and streamline QA with Google-doc-like features. And with our new, native AI solution — Plex AI — you can auto-generate finding descriptions, remediation recommendations, and security narratives, saving hours of manual effort and scaling report authoring with ease.
PlexTrac centralizes findings from automated pentesting tools, vulnerability scanners, etc., providing a single source of truth. With PlexTrac Priorities, you can contextually score those findings to pinpoint what needs fixing first. Its customizable scoring equation highlights the most critical threats, helping allocate resources for maximum impact. The Priorities dashboard also keeps stakeholders informed, showcasing risk status and progress at a glance.
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PlexTrac's answer:
PlexTrac is the only platform that bridges the gap between offensive and defensive security teams by bringing together pentest reporting, vulnerability management, and threat exposure tracking in one unified, workflow-driven platform.
Unlike traditional tools that just generate static reports or list findings, PlexTrac enables real-time collaboration, automated risk scoring, and continuous validation — helping teams move from findings to fixes faster.
PlexTrac's answer:
People choose PlexTrac because it:
Saves time — teams report saving 30–70% of the time previously spent on manual reporting and remediation tracking.
Centralizes security data — findings from scanners, pentests, bug bounty platforms, and red team ops are all in one place.
Prioritizes what matters — contextual risk scoring helps teams focus on the vulnerabilities that actually pose a business risk.
Enables automation — from report generation to ticketing workflows with Jira, ServiceNow, and more.
Works for both enterprises and MSSPs — with multi-tenant support, customizable templates, and powerful integrations.
Bottom line: PlexTrac turns vulnerability noise into actionable, trackable, and reportable outcomes.
PlexTrac's answer:
PlexTrac primarily serves:
Enterprise cybersecurity teams (especially blue and purple teams)
Red teams and penetration testers looking to streamline reporting and remediation
MSSPs who need a scalable platform to manage clients, reports, and workflows
CISOs and security leaders who want visibility into remediation progress and risk trends
These users are typically frustrated by manual workflows, fragmented tools, and poor collaboration across security functions.
PlexTrac's answer:
PlexTrac was founded by Dan DeCloss, a former red teamer and security leader, who experienced firsthand the pain of manual reporting, siloed data, and disconnected remediation workflows.
He built PlexTrac to bridge the communication gap between red and blue teams, helping security professionals work faster, collaborate better, and reduce real risk more efficiently.
Since its founding, PlexTrac has evolved from a better reporting tool to a comprehensive threat exposure management platform used by hundreds of security teams worldwide.
PlexTrac's answer:
Fortune 500 enterprises across finance, healthcare, and tech
Leading MSSPs and consultancies who deliver pentesting and security services at scale
Federal government agencies and defense contractors requiring compliance with frameworks like NIST and CMMC
Higher education institutions with active security testing programs
Based on our record, Vault by HashiCorp seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Before you start, just a friendly reminder that HashiQube by default runs Nomad, Vault, and Consul on Docker. In addition, we’ll be deploying 21 job specs to Nomad. This means that we’ll need a decent amount of CPU and RAM, so Please make sure that you have enough resources allocated in your Docker desktop. For reference, I’m running an M1 Macbook Pro with 8 cores and 32 GB RAM. My Docker Desktop Resource... - Source: dev.to / over 2 years ago
When running cron jobs on Amazon EC2, you can, for example, use a secrets store like Vault. With Vault, your cron jobs can dynamically get the credentials they need. The secrets don’t get stored on the machine that’s running the cron jobs, and if you change a secret, the cron jobs will automatically receive that change. The downside of implementing a solution like Vault, however, is the overhead of managing the... - Source: dev.to / about 3 years ago
Vaultproject.io handles secrets management, so dynamic policies deal with database creds etc. "Manual" creds are stored in 1password or lastpass and added manually to Vault if it needs rebuilding. Source: over 3 years ago
It's all in the blog series, including sample configuration, but it's vaultproject.io and it allows you to do everything from managing simple secrets to auto-rotation of database credentials or even run your own KPI setup. Source: over 3 years ago
Our team is experimenting with Hashicorp Vault as our new credentials management solution. Thanks to the offical Vault Helm Chart, we are able to get an almost production-ready vault cluster running on our Kubernetes cluster with minimal effort. - Source: dev.to / almost 4 years ago
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