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DNS Threat Intelligence Vs. AI Network Security ((FULL))

As we know, cyber security attacks are more common than ever and it's not going away anytime soon. IT Governance recorded that there were 20.1 billion data records reported lost or stolen in 2020, which is a 50% increase in breached records compared to 2019. Sharing threat information can have a positive impact on decreasing the number of lost or stolen records year-over-year, giving cybersecurity researchers and vendors the tools to better identify and combat threats.

DNS Threat Intelligence vs. AI Network Security

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Threat intelligence is information that organizations can use to combat online security threats. This information starts off as a ton of unorganized data from many different sources. The information is then used by security professionals and data science to explore and analyze the data into more actionable insights to make better and more informed decisions.

Another great benefit is that MISP also allows an organization to ingest threat intelligence from a public threat intel where other trusted sources such as the police and security researchers also participate. With all of this valuable external threat info coming in, an organization can augment their event data with rich, high-quality threat intel that automatically connects to and enriches any new events in addition to an organization's own historical data.

In order to dive into these advanced algorithms, data is key. Data can be gathered at each enterprise site but can also be shared between multiple sites as some patterns are not specific. Working with ISPs and hosting providers is very interesting since they see a large amount of traffic and usage trends. But this data needs to be stored with the appropriate level of anonymization since they contain much personal information where regulations can apply. Once you have the data, you need to learn from it, filter the good from the bad traffic, train the machine learning models, apply heuristics, aggregate domains through clustering and use all possibilities offered by artificial intelligence (AI) studies. These are all key steps towards bringing predictive enterprise network security.

Check Point Software is transforming how organizations secure their network security with Check Point Quantum Titan security platform, Quantum Maestro, and the Quantum IoT solutions. Organizations can now simplify their data center workflow orchestration and scale up their security gateways on demand.

For organizations leveraging both data center and multi-cloud architectures, Infoblox can integrate core network and security services across the enterprise using our data center and SaaS-based DNS, DHCP, IPAM and security solutions. Advanced automation and integration give you centralized control and powerful security at every endpoint.

We needed a complete cybersecurity solution that would automatically detect and prevent threats in real time under a single security platform to protect our sensitive data and users. . . . Infoblox provides our team with an integrated set of solutions that we can easily monitor, manage and report on from a single platform.

We see the relationships between malware, domains, and networks across the internet. Similar to how Amazon learns from shopping patterns to suggest the next purchase, our threat analysis learns from internet activity patterns to automatically identify attacker infrastructure being staged for the next threat.

Leveraging threat intelligence from Cisco Talos, one of the largest commercial threat intelligence teams in the world, Umbrella uncovers and blocks a broad spectrum of malicious domains, URLs, and files that are being used in attacks.

The threat intelligence and research team at Fortinet is comprised of very experienced threat hunters, researchers, analysts, engineers, and data scientists. Consequently, Fortinet security products are armed with the best threat identification and protection information available, including the latest threats, campaigns, bad actors, and trends. This threat research allows our customers to take proactive measures to better secure their organizations.

FortiGuard Labs believes that sharing intelligence and working with other threat intelligence organizations improves protection for customers and enhances the effectiveness of the entire cybersecurity industry. Our leadership helps take the fight to our adversaries and produces a more successful disruption model by leveraging these relationships. Partner highlights include:

Fortinet performs security research on a variety of non-Fortinet products and services with the aim to identify potential security threats. The Fortinet research team is part of FortiGuard Labs, which creates the security service that powers Fortinet solutions. The security research achievements help to protect customers, companies, and the general public. FortiGuard Labs creates virtual patches via IPS to protect customers prior to patches being available when the vulnerability is still in a zero-day state.

The agreement with Fortinet boosts two-way information sharing, in particular on cyberthreat intelligence. This is often a high impact and efficient way to enhance cyber resilience and mitigate vulnerability to attack. Some of the expectations of this initiative are:

What sets apart the FortiGuard Labs team from others? Three key differentiators: 1) breadth of visibility into the threat landscape, 2) ground-breaking use of innovation, and 3) rapid delivery of actionable threat intelligence to the Fortinet Security Fabric. Some specifics:

Secure your hybrid workforce, either on-site or remote, with a trailblazing DNS security solution that combines cybercrime intelligence, Machine Learning and AI-based prevention in preventing future threats with stunning accuracy.

Complementing instead of overtaking, acting in concert and not suppressing, Threat Prevention is compatible with any other security solutions and can be deployed in your environment in less than an hour. Its cloud-native Threat Intelligence safeguards your most precious assets against any type of threat, from human error to full-fledged malware campaigns.

4 advanced malware detection layers complemented by Firewall controls and MDM allows effortless remediation of all known threats and scales up into a complete EPDR solution with the DNS security module.

The centralized dashboard unlocks the full potential of your threat-hunting engine and cyber-stance. Crisp graphics, intuitive controls, ready-to-download security status reports, ROI outlooks, mitigated threats, CVEs, and more conveniently stacked into a responsive and unified dashboard.

Many organizations use TIP solutions like MISP, Anomali ThreatStream, ThreatConnect, or Palo Alto Networks MineMeld to aggregate threat indicator feeds from a variety of sources. Organizations use the TIP to curate the data, then choose which threat indicators to apply to various security solutions like network devices, advanced threat protection solutions, or SIEMs like Microsoft Sentinel. The Threat Intelligence Platforms data connector lets organizations use their integrated TIP solution with Microsoft Sentinel.

The most important use for threat indicators in SIEM solutions is to power analytics that match events with threat indicators to produce security alerts, incidents, and automated responses. Microsoft Sentinel Analytics creates analytics rules that trigger on schedule to generate alerts. You express rule parameters as queries, and configure how often the rule runs, what query results generate security alerts and incidents, and any automated responses to the alerts.

You can also designate automation to trigger when the rules generate security alerts. Automation in Microsoft Sentinel uses Playbooks, powered by Azure Logic Apps. For more information, see Tutorial: Set up automated threat responses in Microsoft Sentinel.

Cyber threat intelligence (CTI) can come from many sources, such as open-source data feeds, threat intelligence sharing communities, paid intelligence feeds, and security investigations within organizations. CTI can range from written reports on a threat actor's motivations, infrastructure, and techniques, to specific observations of IP addresses, domains, and file hashes. CTI provides essential context for unusual activity, so security personnel can act quickly to protect people and assets.

The most utilized CTI in SIEM solutions like Microsoft Sentinel is threat indicator data, sometimes called Indicators of Compromise (IoCs). Threat indicators associate URLs, file hashes, IP addresses, and other data with known threat activity like phishing, botnets, or malware. This form of threat intelligence is often called tactical threat intelligence, because security products and automation can use it in large scale to protect and detect potential threats. Microsoft Sentinel can help detect, respond to, and provide CTI context for malicious cyber activity.

TAXII 2.x servers advertise API Roots, which are URLs that host threat intelligence collections. If you already know the TAXII server API Root and Collection ID you want to work with, you can skip ahead and just enable the TAXII connector in Microsoft Sentinel.

If you don't have the API Root, you can usually get it from the threat intelligence provider's documentation page, but sometimes the only information available is the discovery endpoint URL. You can find the API Root using the discovery endpoint. The following example uses the discovery endpoint of the Anomali Limo ThreatStream TAXII 2.0 server.

This example uses the rule template called TI map IP entity to AzureActivity, which compares any IP address-type threat indicators with all your Azure Activity IP address events. Any match generates a security alert and a corresponding incident for investigation by your security operations team.

The example assumes you have used one or both of the threat intelligence data connectors to import threat indicators, and the Azure Activity data connector to import your Azure subscription-level events. You need both data types to use this analytics rule successfully. 350c69d7ab


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