Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

ThreatModeler Announces Amazon Web Services Security Epics Automated

Enable a Self-Service Model to Design, Build and Manage Cloud Security

ThreatModeler announces AWS Security EPICS Automated, a new offering developed with Amazon Web Services (AWS) Professional Services (ProServe) Security and Infrastructure Global (S&I) Specialty Practice (GSP). The offering automates and accelerates the design of secure AWS cloud environments. AWS customers can now proactively secure their cloud infrastructure using AWS’s Security Epics guidance to build a threat modeling process that drives security throughout the Cloud Development Life Cycle (CDLC).

ThreatModeler’s AWS Security Epics Automated solution is designed to accelerate workload migrations to the cloud with security built in. AWS customers will prioritize security early in their cloud migration design phase, reducing overall cost and effort to fix security issues from weeks to just a few hours, maximizing efficiency and ROI.

Recommended AI News: Broadcom Recognized for Excellence in Customer Service and Loyalty by CRMI

“Building a secure cloud environment is the top priority for a customer moving to and developing business critical workloads on AWS,” says Archie Agarwal, founder and CEO of ThreatModeler Software, Inc. “In their journey to the cloud, customers want to build the environment securely, prioritize implementation of security controls and get the full picture of their attack surface – including reachability to their assets.”

Related Posts
1 of 40,645

To scale secure migrations to the cloud, AWS ProServe S&I GSP will execute a 30-day accelerated program powered by ThreatModeler to automate AWS Security Epics backlog generation. ThreatModeler’s AWS Security Epics Automated enables a self-service model to scale secure Cloud Development Life Cycles (CDLCs) by automatically converting an architecture diagram into a threat model. AWS Security Epics Automated analyzes the live AWS service environment to validate the security controls, ensuring all threats have been mitigated. Even developers with little or no knowledge of security can build their AWS environment securely.

Recommended AI News: DevOps Institute Announces First Playbook to Ignite the DevOps Journey

The threat model accelerates service adoption, helps AWS customers to prioritize their backlog for Infrastructure-as-Code (IAC) development, and produces secure AWS CloudFormation output. Through ThreatModeler’s CI/CD toolchain integration with Jira, AWS customers can push backlog security requirements as issues for execution in Agile sprints.

ThreatModeler integrates with AWS services such as AWS Config, AWS Security Hub and others, to highlight threat model drift from the live environment. The integrations enable ThreatModeler users to increase sprint and Epic velocity with prescriptive guidance of AWS Security Best Practices.

An enterprise-ready solution, ThreatModeler continually helps customers to move production-ready, sensitive and business critical workloads securely to the cloud. It facilitates collaboration amongst various stakeholders and provides executive visibility on their overall AWS workload security posture.

Comments are closed, but trackbacks and pingbacks are open.