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    k9 Security Team

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    Sold by: k9 Security 
    Deployed on AWS
    Free Trial
    AWS Free Tier
    Secure AWS IAM with an IAM access analyzer and policy automation built for continuous delivery.
    4.5

    Overview

    Secure AWS IAM without overloading experts.

    Accelerate your entire cloud team with insightful IAM access audits and usable automation that work together. Today.

    Understand the access apps and people have, and what data could be stolen or destroyed Deploy secure IAM policies with your infrastructure code pipelines Scale IAM access management without overloading experts

    Audit your IAM configuration quickly using the k9 Security Katas to identify IAM administrators, unused principals, old credentials, and unexpected access to critical AWS services, S3 buckets, and KMS keys. k9's IAM access analyzer reports access in language all engineers understand and can act on.

    Secure S3 buckets and KMS encryption keys at the speed of continuous delivery with k9's free libraries for CDK and Terraform. Engineers close the access control loop by declaring intended access with the same simplified terms that access is reported in.

    Highlights

    • Simplify understanding of who has access to each Cloud resource and what those resources are
    • Grant the access you intend and generate robust security policies within Terraform and CDK delivery pipelines
    • Comprehensive access report that is simple for everyone to understand, delivered daily

    Details

    Delivery method

    Deployed on AWS
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    Try this product free according to the free trial terms set by the vendor.

    k9 Security Team

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (1)

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    Dimension
    Cost/unit
    The number of full AWS account access analyses performed by k9
    $2.666

    Vendor refund policy

    Try k9 risk free. New customers who cancel within first 30 days receive a full refund.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Support on-boarding to k9, interpreting assessments, and improving security policies support@k9security.io 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly
    By k9 Security
    By Moton Consulting

    Accolades

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    Top
    100
    In Infrastructure as Code
    Top
    50
    In Log Analysis
    Top
    50
    In Agile Lifecycle Management

    Customer reviews

     Info
    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
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    9 reviews
    Insufficient data
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    Overview

     Info
    AI generated from product descriptions
    IAM Access Analysis
    Audit IAM configuration to identify IAM administrators, unused principals, old credentials, and unexpected access to critical AWS services, S3 buckets, and KMS keys
    Policy Automation Integration
    Deploy secure IAM policies through infrastructure code pipelines using CDK and Terraform libraries for automated policy generation
    Access Reporting
    Generate daily comprehensive access reports that communicate access permissions in simplified language understandable to all engineers
    Continuous Compliance Monitoring
    Perform continuous audits of IAM configuration and access controls integrated with continuous delivery workflows
    Multi-Resource Access Control
    Manage and audit access permissions across AWS services, S3 buckets, and KMS encryption keys with unified visibility
    Natural Language Processing Integration
    Advanced Natural Language Processing capabilities enable conversational interaction with IAM metrics and data, allowing users to pose questions and extract insights through natural language queries within the AWS Console.
    Real-time Change Analytics
    Real-time change analytics and access reviews that continuously monitor and instantaneously analyze alterations to IAM resources and access configurations across AWS environments.
    Predictive Analytics Engine
    Predictive analytics capabilities that anticipate IAM challenges and security risks before they occur, enabling proactive remediation strategies.
    Multi-account IAM Data Aggregation
    Active query model that securely queries, combines, and analyzes IAM data from multiple AWS accounts in real-time, supporting fragmented organizations and independent AWS account structures.
    AI-driven Anomaly Detection
    AI-driven anomaly detection combined with Natural Language Processing to identify and provide clear understanding of irregular or risky behavior patterns in IAM resources.
    Just-In-Time Access Management
    Dynamic access provisioning that eliminates standing privileges and grants temporary, time-limited permissions based on immediate need.
    Fine-Grained Access Control
    Granular IAM access provisioning with role-based and policy-based access flows that enforce least privilege principles across cloud resources.
    Multi-Platform Access Integration
    Centralized management and access request capabilities across cloud infrastructure, databases, CI/CD tools, incident response systems, IdP, Kubernetes, and additional enterprise resources.
    Automated Approval Workflows
    ChatOps-based approval mechanisms integrated with Slack and Teams, combined with policy-based auto-approval capabilities for streamlined access provisioning.
    Compliance and Regulatory Automation
    Automated conversion of access policies to just-in-time and just-enough access flows designed to satisfy SOC2 and other access control regulatory requirements.

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

     Info
    4.5
    2 ratings
    5 star
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    50%
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    2 AWS reviews
    reviewer2804436

    Security partnership has transformed delivery by shifting risk management left in our pipelines

    Reviewed on Feb 23, 2026
    Review from a verified AWS customer

    What is our primary use case?

    I have been working with k9 Security Team  for the past two and a half years. k9 Security Team  is strong in providing structured security oversight and maintaining collaborative engagement with the platform security team.

    The primary way I use k9 Security Team is as a proactive security and compliance partner for our infrastructure and production environments. As an SRE, I rely on them mainly for vulnerability identification, risk assessment, and compliance validation. One of the key challenges they help us solve is managing security risk without slowing down delivery. For example, when we deploy new services or make infrastructure changes, they review configuration, identify potential vulnerabilities, and guide us on remediation steps before issues reach production. They also play a major role in compliance-related activities, especially around PCI controls. Instead of reacting to audit findings, we work with them continuously to close gaps early. This reduces last-minute pressure during audits.

    One specific example was during a container image upgrade for a backend service. Before a production release, we were updating the base image to include newer dependencies. During the pre-production security scan, k9 Security Team identified a critical CVE introduced through the updated base image. From an SRE perspective, everything was functionally working in staging, but this vulnerability could have easily gone unnoticed.

    What is most valuable?

    One of the best features k9 Security Team offers is proactive risk reduction. They identify vulnerabilities and misconfigurations earlier in the development cycle. Contextual risk prioritization is also key. Rather than just listing every finding, they help prioritize based on exploitability and impact in our specific environment. They promote integrated collaboration and earlier engagement; they do not wait until deployment. They participate in architecture reviews, IAM  policy changes, and container image validations. CI/CD security integration is another excellent feature, where security checks and scans are integrated into our CI/CD pipeline. This means automated testing for compliance and vulnerabilities happens as part of standard workflows. Clear communication and documentation are also present, where the security findings are explained in actionable, non-cryptic terms with suggested remediation steps.

    k9 Security Team has a measurable positive impact on our organization in several areas including the reduction of critical vulnerabilities in production, faster vulnerability remediation, improved audit readiness, fewer release blockers, and a cultural shift towards security ownership. Overall, the team has helped us move from reactive security handling to proactive integrated risk management, resulting in measurable reductions in monitoring vulnerabilities, faster remediation cycles, and smoother audit readiness.

    What needs improvement?

    There are meaningful opportunities regarding needed improvements, particularly around developer education. Currently, when vulnerabilities are flagged, developers receive remediation guidelines. However, security awareness could improve further if short explanations were embedded. Common misconfigurations should be accompanied by 'why this matters' examples, and recurring issues could trigger targeted micro-learning resources. For example, if an overly permissive IAM  policy is detected, including a short best practice snippet or a reference architecture would reduce repeat mistakes. This would help shift from reacting and fixing to proactive learning.

    The reason I would not give a full ten is mainly around opportunities for deeper automation, more contextual risk prioritization, and expanded developer enablement. With improvements in those areas, they could move closer to a nine or ten.

    Beyond the automation and the developer education, there are a few additional areas including proactive threat intelligence integration, security posture benchmarking, enhanced incident simulation, and cost of risk visibility. Operationally, it is strong. The next level of maturity would focus on predictive intelligence and industry benchmarking.

    For how long have I used the solution?

    I have been working with k9 Security Team for the past two and a half years.

    What do I think about the stability of the solution?

    k9 Security Team is stable.

    What do I think about the scalability of the solution?

    Scalability has been one of the stronger aspects of k9 Security Team. Scalability is achieved through automation-driven controls, policy-as-code, and risk-based prioritization, which is something useful with high business impact, and self-service visibility where engineering teams can view vulnerability status. An outcome is that as our infrastructure footprint increases, we do not see a proportional increase in production vulnerabilities. The scalability comes from automation, policy-as-code, and distributed ownership, not from increasing manual oversight. This makes k9 Security Team sustainable as the organization grows.

    How are customer service and support?

    Overall, the customer support has been very responsive, knowledgeable, and collaborative. They have very good technical depth. Their collaborative approach is not purely ticket-based; they join troubleshooting calls. I would suggest some improvements including faster self-service and more proactive communication when new high CVEs are released. Support is reliable, technically strong, and collaborative.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    Before working with k9 Security Team, we relied on a more fragmented approach. Previously, we used a combination of standalone vulnerability scanners and periodic manual security reviews. The challenge with that model was that security was reactive and siloed, and vulnerabilities were usually identified late in the release cycle, which caused last-minute deployment delays and increased remediation overhead.

    What was our ROI?

    We have clearly seen a return on investment from engaging deeply with k9 Security Team, where we have experienced reductions in production vulnerabilities, faster remediations, reduced release delays, and improved audit and compliance efficiency with reductions of thirty to thirty-five percent. Risk cost avoidance has been significant as well, where we reduced the risk exposure by over sixty percent. It is not just in reduced vulnerability counts, but in shorter exposure windows, smoother releases, improved compliance, and significant risk cost avoidance from both an operational and business standpoint.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing and setup cost is excellent.

    Which other solutions did I evaluate?

    We looked for standalone vulnerability scanners for container security, cloud-native security tools, a couple of DevSecOps  platforms, and traditional audit-driven compliance services.

    What other advice do I have?

    One additional aspect I would highlight about my use case with k9 Security Team is how the security team has shifted our approach from reactive security to proactive security integration. Earlier, reviews were often checkpoint-based, and over time they improved by collaborating and integrating their checks into earlier stages of the CI/CD pipeline. For example, we can now involve architecture design for new services, IAM  and access policy changes, container image upgrades, and external integration approvals as well.

    In our team, CI/CD security integration is designed to shift security left and make it part of the normal deployment workflow. Rather than being a separate step at the end, here is how it works: In the code commit stage, when the developer pushes the code, it is built during the container image builds, and base images are scanned. For infrastructure as code such as Terraform  or infrastructure changes, IAM  permissions are validated. Before production deployment, security approval is automated based on security thresholds. Continuous monitoring occurs in runtime.

    For a broader perspective, k9 Security Team has been very effective, but there are a few areas where improvements could enhance the offering, including better contextual risk prioritization, more self-service visibility, automation around exception handling, earlier design-level threat modeling, and developer educational integration. While highly effective operationally, the main opportunity lies in deeper automation, more contextual risk scoring, and enhanced self-service visibility, which would further reduce friction and increase efficiency across engineering teams.

    My main advice is to integrate k9 Security Team earlier into the CI/CD pipeline and align on SLAs and risk appetite so that this tool is very adaptable and focused. It focuses on automation first, and I encourage shared ownership where developers and the SRE team participate in remediation. Measure what matters. k9 Security Team is the most valuable, and they have been treated as a collaborative partner rather than external gatekeepers.

    k9 Security Team delivers the most valuable benefit when it is deeply integrated and supported by automation. They are more audit-friendly, help reduce production vulnerabilities, improve MTTR, ease lease-related reductions, and aid in audit preparation. I gave this review an overall rating of eight because while k9 Security Team is a very good tool, there remain opportunities for deeper automation and enhanced contextual risk prioritization.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Amazon Web Services (AWS)
    Aleks S.

    Excellent IAM audit app

    Reviewed on May 02, 2022
    Review from a verified AWS customer

    We wanted to create a truly secure production environment for our customers and prove it with a SOC 2 certification. k9 Security walked us through all the IAM vulnerabilities in our AWS account using their super pragmatic report and helped us fix the issues. Now we have SOC 2 and least privillege :)

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