Qadit Blog

AWS Security Hub gives customers a central place to manage security and compliance across an AWS environment. It aggregates, organizes, and prioritizes security alerts – called findings – from AWS services such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie, and from a large and growing list of AWS Partner Network (APN) solutions.

Customers can also run automated, continuous compliance checks based on industry standards and best practices, helping to identify specific accounts and resources that require attention. AWS Security Hub brings all of this information together in one place, providing a comprehensive view of a customer’s overall security and compliance status visually summarized on integrated dashboards with actionable graphs and tables.

There are no upfront commitments required to use AWS Security Hub, and customers pay only for the compliance checks performed and security findings ingested, with no charge for the first 10,000 security finding events each month.

Enterprises today use a broad array of AWS and third-party tools to secure their environments. These tools are effective but they also generate many findings – all viewable in different consoles and dashboards. Many customers use a patchwork set of custom-built solutions to manage and monitor compliance across distributed accounts and workloads.

To understand their overall security and compliance state, customers must either manually pivot between all these tools or invest in developing complex systems to aggregate and analyze the findings. This makes it challenging for security teams to centralize their security findings, prioritize the events that matter most, and ensure that accounts and workloads are operating in a compliant manner.

With AWS Security Hub, customers can quickly see their entire AWS security and compliance state in one place. AWS Security Hub collects and aggregates findings from the security services running in a customer’s environment, such as threat detection findings from Amazon GuardDuty, vulnerability scan results from Amazon Inspector, sensitive data identifications from Amazon Macie, and findings generated by a wide portfolio of security tools from APN partners.

The service then correlates findings across providers to prioritize the most important information, highlight trends, and identify resources that may require attention. Customers can also continuously monitor their environment with automated configuration and compliance checks based on industry standards and best practices, such as Center for Internet Security (CIS) AWS Foundations Benchmark.

If these checks identify any accounts or resources that deviate from a best practice, AWS Security Hub flags the problem and recommends remediation steps. AWS Security Hub gives security teams the visibility they need to prioritize work and improve their security and compliance state by centralizing their most important information in one easy-to-manage place.

“AWS Security Hub is the glue that connects what AWS and our security partners do to help customers manage and reduce risk,” said Dan Plastina, Vice President for External Security Services at AWS. “By combining automated compliance checks, the aggregation of findings from more than 30 different AWS and partner sources, and partner-enabled response and remediation workflows, AWS Security Hub gives customers a simple way to unify management of their security and compliance.”

AWS Security Hub ingests data from different sources using a standard findings format, eliminating the need for time-consuming data conversion efforts. Amazon CloudWatch and AWS Lambda integrations allow customers to execute automated remediation actions based on specific types of findings. Customers can also integrate AWS Security Hub with their automation workflows and third-party tools like ticketing, chat, and Security Information and Event Management (SIEM) systems to quickly take action on issues.

Leading providers, including Alert Logic, Armor, Atlassian, Barracuda, Check Point (CloudGuard Dome9 and CloudGuard IaaS), Cloud Custodian, CrowdStrike, CyberArk, F5, GuardiCore, IBM, McAfee, PagerDuty, Palo Alto Networks (Demisto, RedLock, and VM-Series), Qualys, Rapid7 (VMInsight and InsightConnect), ServiceNow, Slack, Splunk (Splunk Enterprise and Splunk Phantom), Sophos, Sumo Logic, Symantec, Tenable, Turbot, and Twistlock have built integrations with AWS Security Hub, with many new integrations to be added regularly.

Customers can try AWS Security Hub at no additional charge with a 30-day free trial. AWS Security Hub is available today in US East (Ohio), US East (N. Virginia), US West (N. California), US West (Oregon), Canada (Central), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), and South America (Sao Paulo), with additional regions coming soon.

Instart, the leader in web application performance and security services, announced the Instart Web App and API Protection (WAAP) platform to deliver the most comprehensive protection against attacks on the application origin, including the APIs, the edge, and the browser.

This platform provides customers with a single cloud-based platform, powered by a single rules engine, and a unified threat intelligence system, to defend against application vulnerabilities, sophisticated bots, and browser-based attacks.

Web app and API exploits are now one of the leading vectors for data breaches, lost revenue, and brand damage. Organizations with a large web presence are battling more than just malicious traffic aiming to bring down their apps.

They now face sophisticated bots working to hurt their brand, privacy regulations that penalize them for compromised customer information, and browser-based threats that are targeting consumers through third-party code.

Each of these threats require distinctly different protection, each with its own detection and remediation methods in order to mitigate the ever-evolving attack types.

“While modern web apps bring immeasurable benefits to consumers, they also add significant complexity to IT organizations looking to secure them and protect their customers,” said Sumit Dhawan, CEO of Instart.

“Today, organizations are deploying multiple solutions with inconsistent rule sets as a way to defend against the multitude of threats attacking their online properties. Ultimately, this leads to security gaps, as intelligence is not shared between solutions. The only way to secure the full web app is to implement a cloud-scale solution with visibility and control over the entire application delivery path, including the origin, the edge, and the endpoint.”

As more applications move to the cloud, traditional appliance-based security technologies no longer protect these apps from all of the emerging threats.

According to Gartner, “By 2023, more than 30% of public-facing web applications will be protected by cloud web application and API protection (WAAP) services that combine DDoS protection, bot mitigation, API protection and web application firewalls (WAFs). This is an increase from fewer than 10% today.”

Instart’s cloud services for application security are already protecting the world’s largest brands from malicious threats to their web apps. Now, the Instart WAAP platform will bring together the company’s Web Security, Bot Management, and Tag Control products as well as its threat intelligence and expert security services to deliver a single, self-service solution with a unified management framework, powerful rules engine, and experienced team of experts.

With the combined solution, security threats can be detected and enforced at the origin, to the edge, and in the browser in order to fully protect a brand’s online property. The Instart WAAP platform includes:

• Instart Web Security, which prevents sophisticated cyber attacks like distributed denial of service, cross-site scripting, SQL injection, and more using its web application firewall, DDoS protection capabilities, and powerful security rules.
• Instart Bot Management, which detects and analyzes bot intent and blocks attacks from sophisticated malicious bots to prevent fraud and protect your brand.
• Instart Tag Control, which gives you complete control of the JavaScript running in your customers’ browsers, including third-party tags, that can impact security, customer privacy, and the overall reliability of your website.
• Instart Threat Intelligence, which combines multiple automated techniques, such as honeypots and third-party threat feeds to detect various cyberattacks and applies cross-customer learnings to automatically update rules.
• Instart Managed Security Services, which provides a team of proactive security experts to help customers with implementation, rule creation, and incident response.

“Our customers are consistently telling us that their traditional appliance-based approach to web app and API security is no longer sufficient as the attack vendors expand and they incorporate more cloud services into their customer-facing web apps,” said Mitch Parker, Chief Customer Officer at Instart.

“Instart WAAP is the only platform to combine an intelligent, globally distributed cloud service with a browser virtualization layer for complete visibility and protection against both known application threats as well as emerging threats, such as advanced automated Bots and attacks from 3rd party services integrated into a web experience.”

The Shared Assessments Program, the member-driven leader in third party risk assurance, announced a new Third Party Risk Management (TPRM) Framework designed to help organizations of all sizes effectively build, improve and execute best practices in today’s fast changing third party risk environment.

The first two modules, the Framework Introduction and a module focused on Risk Management Basics, are available to members on the Shared Assessments website.

As the practice of Third Party Risk Management has evolved, it has become increasingly evident that a fully developed TPRM framework could provide valuable assistance to organizations working to improve outsourcing oversight processes.

Shared Assessments has addressed the need for more detailed guidance by creating the Program’s TPRM Framework, which was developed with the collective intelligence of the Shared Assessments’ membership, a global community of experienced third party risk management practitioners in a broad array of industries.

Framework content is designed to be useful for board members, C-level executives and both beginning and advanced practitioners.

“There has been a significant increase in third party-related vulnerabilities in recent years, which has in turn resulted in increased demand for Shared Assessments Program resources, so the development of the TPRM Framework is needed now more than ever,” said Shared Assessments Chairman and CEO Catherine A. Allen.

“Increasing third party risks, together with new and changing regulatory mandates, require a new approach for providing the knowledge and practical skills necessary to help organizations more effectively manage third party risk. The new TPRM Framework represents a critical and effective step forward to help organizations move toward best risk management practices.”

TPRM has emerged as an important practice area within organizational risk management programs where annual benchmarking research indicates only 40 percent of all organizations have fully mature TPRM programs (The Santa Fe Group, Shared Assessments Program and Protiviti, Inc., 2019). The TPRM Framework encompasses all aspects of operational risk, including information security.

Gary Roboff, Senior Advisor at The Santa Fe Group, and the lead on the development of the Framework, noted, “The TPRM Framework is designed to provide guidance for organizations seeking to develop, optimize and manage Third Party Risk best practices.

The Framework also provides guidance about how to implement meaningful incremental improvements in TPRM practice maturity in organizations where resources may be constrained. Resource allocation is a significant obstacle for almost every organization in the current environment.”

Third Party Risk Management basics module

For practitioners, TPRM Risk Basics introduces the importance of a robust program governance and tactics to drive a strong organization-wide risk culture to earn senior management approvals for resources. Additionally, TPRM Risk Basics features a short primer that examines concepts including:

• Inherent and residual risk
• Risk appetite statements and frameworks
• Risk tolerance metrics and other foundational elements
• Program prerequisites and process factors to be considered when building an organization’s TPRM program, including factors relevant to making a decision about whether or not to outsource a specific business function or activity

Kaloom, an emerging leader in the automated data center networking software market, announced flowEye, an AI-driven real-time in-band network telemetry (INT) and analytics solution. flowEye enables data center managers to achieve higher performance and lower OPEX via more powerful monitoring, analytics and troubleshooting capabilities.

Traditional network telemetry and analytics solutions were not built for today’s virtual architectures. Packets now travel through virtual system infrastructure including controllers, routers, gateways, security and other elements that may each be housed on different hardware.

Existing methods such as traffic sampling are ill equipped to provide real-time visibility into the many types of data traversing the virtual landscape and the number of hops that data takes as it travels.

Kaloom’s flowEye traces actual packet routes as they travel through the data center, providing insights to where they’ve been and what impacts throughput among both virtual and physical elements.

Kaloom’s fully integrated flowEye enables customers to build “self-driving” data center networks and to build closed loop systems that encompass orchestration, analytics and self-healing remediation for better operation and lower OPEX costs.

The need for separate boxes for monitoring and packet brokering is removed, and CAPEX is reduced by at least 2-3x. Data centers can now automatically correct anomalies in traffic handling, fix network breaks, and more effectively scale up or down network resources, thereby improving overall management.

Kaloom’s INT collects and reports about network state using in-band network telemetry data (i.e., metadata) to a backend analytics engine for detailed analysis. INT is performed in the data plane without impacting the control plane. Packets contain header fields that are interpreted as “telemetry instructions” by network devices.

Specific, customized data can be collected from multiple packets in real time based on programmable criteria and sampling rates selected by customers. Kaloom’s INT methodology provides greater knowledge about the state of the network in real time versus traditional methodologies, in particular network troubleshooting and diagnostics.

Traditionally, telemetry has been performed using synthetic or statistical sampling and packet probing protocols such as ICMP echo that provide very little knowledge about the state of the network.

Programmable ASIC-based switches provide more granular insight regarding packets and data flow through the network in real time. Telemetry data can include but is not limited to, data path, queue occupancy, and latency experienced by packets.

Aggregating telemetry data generates detailed reports about network state, and critical telemetry reports on packet drop or queue alert events.

Kaloom’s INT enables advanced packet tracing capabilities in real time (“traceroute”) of the network route. The networking nodes along the path use the INT instructions to tell devices what state to collect and write that information into the packet as it transits the network.

Using this info provides better granularity in real time and facilitates root cause analysis, so network problems can be pinpointed before they occur, and corrective actions can be taken.

Competitive products often require the addition of equipment in the network to measure the traffic, but in doing so, add to total network cost, and total latency of packets over the network. As well, they do not provide a real-time view of data traffic as they employ synthetic, sampled or statistical data collection methods.

With Kaloom’s flowEye solution, data that is collected can be further analyzed by the analytics engine and presented in an advanced dashboard for spatial view of the full network hop-by-hop; geo view to view critical issues and where they are physically/geographically located; temporal view to drill down into specific issues in real time, with sub-second precision and metrics; and cards view to see details of SLAs and KPIs for parameters such as latency, jitter, loss, throughput, number of packets, number of flows, fragmentation, link level throughput, etc.

Kaloom’s analytics suite enables customers to visualize, find and fix infrastructure issues across multi-data center environments and correlate applications to specific network flows of actual traffic, not sampled or synthetic flows.

It monitors every packet and flow while visualizing the results with 100ms precision. The dashboard shows how point, segment, and transactional metrics are performed and displays results in less than 5 seconds.

“Our automated real-time monitoring, analytics and troubleshooting capabilities will change the way data centers are currently managed. Until now, customers have been using expensive additional equipment that adds to the cost and latency of monitoring the network state.

“Also, they have been doing so on sampled or synthetic traffic, not on the actual traffic, and not even close to real time. Kaloom has taken a unique approach and can now provide an industry-first, real-time visibility of the packets and flows for the actual traffic, thus guaranteeing optimum operational visibility for data centers,” said Suresh Krishnan, chief technology officer at Kaloom.

“In-band Network Telemetry, analytics and automation are well understood for their potential to improve data center operations and enhance application deliveries,” said Paul Parker-Johnson, chief analyst at ACG Research.

“Kaloom’s flowEye innovations significantly increase the granularity of insight that can be applied to pursuing those goals. And the fact that its functions are programmable into functioning data center resources means the outputs from its analytics are available faster than existing solutions, and at lower overall cost, since no additional equipment needs to be installed. Kaloom’s perspective on analytics and automation in the data center environment is both innovative and forward-looking.”