Technical Review by
Laura Iannini
For security teams managing data leaks and brand impersonation, NordStellar pulls dark web intelligence and cybersquatting detection together, prioritizing alerts by breach probability and business impact, though limited customer feedback makes long-term pain points harder to assess.
If you need structured intelligence on nation-state actors, ESET Threat Intelligence tracks APT groups across multiple countries with automated threat investigation and optional direct analyst access, but the UI is cluttered with nested menus slowing daily workflows.
For teams needing autonomous remediation beyond passive monitoring, Flare archives dark web content for investigation even after takedowns and monitors supply chain ransomware exposure across thousands of sources, though the interface requires learning time for GUI navigation.
Threat intelligence separates active defense from passive hope. You can’t respond to threats you don’t see, and you can’t see threats if your intelligence pipeline is broken. The problem: threat intelligence platforms divide sharply between subscription feed aggregators that flood you with noise and enterprise managed services that require budgets most teams don’t have.
You need threat feeds that cut through the noise with prioritized alerts tied to your actual risk profile, not generic indicators. You need coverage across dark web forums, mainstream infrastructure, and technical sources. You need intelligence that integrates directly into your SOC workflows instead of sitting in isolation. Get it wrong, and you’re paying for feeds you can’t act on or missing breaches happening in channels you’re not monitoring.
We evaluated 11 threat intelligence platforms across dark web monitoring, APT tracking, adversary profiling, and automated response capabilities. We evaluated source range, alert quality, analyst support, SIEM integration, and real-world deployment complexity. What we found: the gap between marketing claims and actual threat detection effectiveness is substantial. Several platforms excel at one dimension while falling short on others. Your choice depends on whether you need range, depth, managed services, or pure automation.
This guide helps you navigate threat intelligence options and pick the platform that actually reduces your response time instead of expanding your alert queue.
Your ideal platform depends on whether you prioritize dark web exposure management, APT intelligence with analyst support, or autonomous remediation capabilities.
NordStellar is a threat exposure management platform that pulls together dark web intelligence, attack surface management, and cybersquatting detection into one console. It targets mid-size to large security teams that need early warning on data leaks and brand impersonation.
We found the alert prioritization stands out here. NordStellar ranks exposures by impact, exploitability, and probability, which means your response team spends less time triaging and more time remediating. That context makes a real difference when you’re sorting through dark web mentions.
The platform monitors threat actor forums for compromised credentials and brand mentions. It also tracks your external attack surface for vulnerabilities and flags domains impersonating your brand. We saw the compliance alignment with DORA, NIS2, SOC2, and ISO 27001 as a practical addition for regulated industries.
Setup is low friction. Customers highlight that you provide your company domain and the platform starts working. The team behind NordStellar gets consistent praise for responding to feedback quickly and shipping improvements fast.
If your team needs consolidated threat exposure visibility without stitching together multiple point solutions, NordStellar fits well. It works for both smaller security teams and larger enterprises with complex needs, thanks to tiered packaging across Essential, Core, and Enterprise plans.
ESET Threat Intelligence is a threat intelligence service focused on APT group tracking and curated threat feeds. It suits security teams that need structured intelligence on nation-state actors and want actionable data they can feed into existing workflows.
The standout here is persistent monitoring of APT groups operating out of Russia, China, North Korea, and Iran. We found the curated feeds and reporting give your threat hunting team specific, actionable content rather than raw data dumps. That focus on context matters when you’re building defense strategies around real adversary behavior.
Automated threat investigation runs even when the system is idle, which keeps intelligence flowing without manual intervention. Premium tiers include direct access to an ESET analyst for detailed discussions, giving your team a human resource to work through complex threat scenarios.
If your team needs structured APT intelligence without building a full threat intel program from scratch, this is a practical option. Entry-level pricing starts at $211 for five users per year, making it accessible for smaller teams.
Customers describe the platform as mature and well thought out, with easy integration into existing environments. Long-term users show strong loyalty. Some customers have left for other vendors and come back to ESET.
Some customers flag that the UI feels cluttered, and a few suggest that higher-budget alternatives offer more polish.
Flare is a cyber threat intelligence and dark web monitoring platform built for tracking cybercrime exposure across thousands of sources. It targets security teams that need continuous visibility into leaked credentials, ransomware exposure, and threat actor activity across dark web forums and Telegram channels.
We found the range of source monitoring impressive. Flare covers cybercrime forums, Telegram groups, and dark web marketplaces while archiving historical data. That archival capability means your team can trace past exposures even after content goes offline, which is valuable for building compensation controls.
The autonomous remediation and AI-based takedown features let your team act on threats quickly rather than just collecting intelligence. Real time alerts, supply chain ransomware monitoring, and credential leak tracking round out the core offering. We saw the combination of detection and response capability as a clear differentiator from pure monitoring tools.
If your organization needs dark web monitoring that goes beyond passive intelligence into active remediation, Flare fits that need well. The platform works across team sizes and verticals, from mid-market financial services to large government agencies.
Long-term users praise the alerting system and the actionable guidance that comes with each alert. Support gets consistently high marks across the customer base. Customers using Flare for data leak research and credential monitoring highlight it as a practical daily driver.
The interface has a learning curve.
CrowdStrike Adversary Intelligence is a threat intelligence platform that combines dark web monitoring, adversary profiling, and automated incident response. It targets SOC teams that want real-time intelligence paired with pre-built playbooks to accelerate response times.
We found the pre-built incident response playbooks to be a practical accelerator for SOC workflows. Rather than building response procedures from scratch, your team gets defensive automation that maps to specific threat scenarios. The platform monitors across open, deep, and dark web layers for domain impersonation, exposed credentials, and data leaks.
The adversary profiling and context-aware indicators give your analysts specific actor intelligence rather than generic threat data. An advanced malware sandbox allows rapid file and email analysis without spinning up separate tooling. We saw the automated threat modeling as a useful addition for teams building proactive defense strategies around known adversary tactics.
If your organization already runs CrowdStrike products, Adversary Intelligence slots in naturally and extends your existing investment. The pre-built playbooks and automated response capabilities suit teams that need to compress response times without adding headcount.
Customer feedback here draws from the broader CrowdStrike ecosystem rather than Adversary Intelligence specifically. CrowdStrike users consistently praise the platform’s detection capabilities and the clean admin interface for investigating alerts. Deployment and onboarding get strong marks across organizations of different sizes.
The cost conversation comes up regularly.
Cyware TIP automates the threat intelligence lifecycle from ingestion through actioning, with bidirectional sharing built in. It targets security teams at mid-size to large enterprises that need a centralized platform to process, enrich, and distribute threat intelligence across their existing security stack.
We found the multi-source intelligence ingestion and automatic enrichment pipeline to be the core strength here. Cyware TIP pulls in threat data from multiple formats and sources, deduplicates it, applies confidence scoring and severity assessments, then pushes actionable intelligence to your SIEM, EDR, MDR, and vulnerability management tools automatically.
Customers at large enterprises in banking, travel, and services highlight the deduplication and enrichment capabilities as key strengths. The delivery and support team gets consistently strong praise, with customers describing onboarding as straightforward and support as responsive beyond expectations.
Some customers have flagged bugs and integration issues, particularly around the CTIX tooling.
If your team manages multiple threat intelligence feeds and needs automated enrichment and distribution across a mature security stack, Cyware TIP addresses that workflow directly. The ROI dashboard and confidence scoring help justify the investment internally.
We think this fits best in enterprise environments with established SOC operations. If you’re a smaller team looking for simpler dark web monitoring, this may be more platform than you need right now. Based on our review, the automation depth and bidirectional sharing make it a strong option for teams ready to operationalize their threat intelligence program.
ManageEngine Log360 is a unified SIEM, DLP, and CASB platform that combines log management, threat detection, and compliance reporting across on-premise, cloud, and hybrid environments. It targets security teams managing complex multi-environment infrastructures who need a single console for detection, investigation, and response.
We found the combination of machine learning anomaly detection and MITRE ATT&CK framework mapping gives your team both automated and rule-based detection in one platform. The TDIR engine ties together detection, investigation, and response without requiring separate tools for each stage.
The integration with ManageEngine’s broader product suite, particularly ADAudit Plus and EventLog Analyzer, adds real value if you’re already in that ecosystem. We saw the SOAR capabilities and real-time Active Directory auditing as practical additions that extend Log360 beyond basic log collection into an operational security platform.
Customers consistently highlight the single-pane-of-glass experience for monitoring logs across on-premise and cloud environments. Teams using multiple ManageEngine products praise how Log360 unifies them in one interface. Setup for pattern-based alerting and escalation workflows gets positive feedback.
Storage consumption is a recurring concern.
If your organization runs a hybrid environment and needs SIEM, compliance reporting, and log management without stitching together multiple vendors, Log360 consolidates that well. The ManageEngine ecosystem integration makes it strongest for teams already using their products.
IBM Security X-Force is a managed cybersecurity services suite that combines threat intelligence, incident response, adversary simulation, and vulnerability management. It targets large enterprises that want a dedicated team of researchers and responders backing their security operations.
We found the depth of the X-Force research team to be the primary differentiator here. This isn’t just a platform; it’s a service backed by one of the longest-standing commercial security research teams in the industry. The X-Force Exchange and Threat Intelligence Insights components deliver global threat data drawn from proactive hunting across the surface, deep, and dark web.
The suite covers the full incident lifecycle. Strategic threat assessments help your team understand which adversaries are most likely to target your organization. Reverse engineering, adversary simulation, and cyber range training give your security staff hands-on preparation. We saw the combination of offensive and defensive services as a strength for enterprises that want a single provider across the entire threat lifecycle.
If your enterprise needs managed threat intelligence paired with incident response and offensive security capabilities, X-Force delivers that full stack. The research team’s depth and global reach suit organizations facing sophisticated, targeted threats.
Customers in enterprise environments, particularly banking and semiconductors, highlight the platform’s ability to surface emerging vulnerabilities early. One recurring theme is proactive threat forecasting, with teams crediting X-Force for flagging risks like Log4j before they became widespread incidents.
The cloud-based intelligence sharing platform gets praise for speed and usability.
Mandiant Threat Intelligence is an enterprise-grade intelligence platform backed by one of the most recognized incident response and research teams in cybersecurity. It targets large organizations, government agencies, and law enforcement that need curated, expert-analyzed threat data integrated into existing security workflows.
We found the combination of human expertise and structured threat data to be the core value here. Mandiant’s IntelGrid provides real-time visibility into threat activity, while the centralized vulnerability repository includes both CVSS and EPSS scoring to help your team prioritize based on actual exploitability rather than just severity ratings.
The indicator confidence scoring stands out. Rather than flooding your team with raw indicators, Mandiant attaches confidence levels that help analysts focus on high fidelity signals. We saw the API integrations with SIEM, NTA, and EDR platforms as straightforward, letting your team embed intelligence directly into existing detection and response workflows.
If your organization needs expert-backed threat intelligence with managed detection capabilities and you operate at enterprise scale, Mandiant fits that profile well. Three subscription tiers give you flexibility to match coverage to your budget and maturity level.
Customers in finance, healthcare, and enterprise environments describe Mandiant as a reliable managed detection and response partner. Teams that started with MSSP needs shifted to Mandiant’s MDR offering and stayed. Multi-year renewals and consistent satisfaction are a recurring theme across the customer base.
The scheduled threat hunts and industry-targeted briefings get specific praise from security teams that use Mandiant as their SOC-as-a-service.
Cortex AutoFocus is a SaaS-based threat intelligence service from Palo Alto Networks, backed by a large sensor network and the Unit 42 research team. It targets enterprise security teams that need high-fidelity threat data integrated directly into their existing detection and response workflows.
We found the tagging system to be a practical differentiator. Unit 42 tags help your analysts distinguish high impact threats from background noise without manually triaging every alert. The custom feed builder lets your team tailor intelligence to your specific threat profile rather than consuming generic indicator lists.
The open API integration with SIEM, SOAR, and third party tools keeps intelligence flowing into your existing stack. We saw strong performance in large-scale environments, with customers running 65,000+ Cortex XDR agents alongside integrated feeds from providers like Recorded Future and Sekoia. The ability to adjust incident scoring based on IOC risk scores through playbook automation adds operational value beyond raw intelligence.
If your organization already runs Palo Alto products, AutoFocus and XSOAR integrate naturally and extend your investment. The sensor-driven intelligence and Unit 42 research give your team curated, high-confidence data without building your own collection infrastructure.
Customers in manufacturing, telecom, and retail praise the customization and automation capabilities. Teams using XSOAR alongside AutoFocus highlight the playbook-driven incident scoring as a real workflow accelerator. Direct customer support and the UI get positive feedback across the board.
The learning curve comes up consistently.
Recorded Future is a threat intelligence platform that uses machine learning and natural language processing to surface emerging threats from the dark web and open sources. It targets security teams of all sizes that need real-time intelligence on exploit chatter, compromised credentials, and adversary infrastructure changes.
We found the platform’s ability to retrieve intelligence from obscure and deep parts of the internet to be a clear strength. The machine learning pipeline analyzes data across 12 languages, tracking malicious actors as they shift infrastructure and detecting exploit discussions automatically. That depth of source coverage gives your team visibility into threats other tools miss.
The Advanced Query Builder and Interactive Sandbox make daily threat analysis faster for working analysts. We saw the integration options as a practical advantage, with straightforward feed delivery into SIEMs and EDRs. For MSSPs, the multi-tenant environment allows streamlined management across client bases, adding operational efficiency alongside the intelligence value.
If your team needs broad, multilingual threat intelligence with strong dark web coverage and flexible integration options, Recorded Future covers that ground well. The MSSP-friendly architecture makes it particularly attractive for managed service providers.
Daily users praise the Insikt research team for delivering exclusive threat actor intelligence not available publicly. The portal is described as simple to use, and implementation is straightforward. Customers running MSSP operations highlight the multi-tenant support and IOC, vulnerability, and brand intelligence coverage.
Customer support quality is inconsistent.
ZeroFox is a digital risk protection platform that combines brand protection, dark web monitoring, and automated takedown services across the surface, deep, and dark web. It targets mid-size to large enterprises that need to detect and remediate brand impersonation, phishing sites, and data exposure at scale.
We found the end-to-end takedown workflow to be the standout capability. ZeroFox handles everything from phishing site detection through takedown request submission, reducing the manual overhead your team would normally spend filling out individual requests. The AI-powered tagging system learns alert behavior over time to reduce false positives and alert fatigue.
The ZeroFox GPT service adds automated escalation with remediation advice, so your analysts focus on confirmed threats rather than sifting through hundreds of potential alerts. We saw the combination of analyst-escalated and automated alerts as a practical approach that balances speed with accuracy. Dark web scrubbing for brand and domain threats, including financial data like card identification numbers, gives your team advance warning to protect customers.
If your organization faces brand impersonation, phishing, or dark web exposure risks and needs managed takedown capabilities, ZeroFox addresses that workflow directly. The platform works well for teams that want to reduce manual triage without losing analyst oversight.
Customers praise the dashboard clarity and the onboarding experience. The support team gets strong marks for recurring check-ins and responsiveness to feedback. Teams that switched from other intelligence providers note improved alert quality with ZeroFox.
Takedown timelines are a friction point. Some customers report waits exceeding 48 hours to kill malicious sites. Initial deployment generates excess false positives that require extended tuning, sometimes taking months to stabilize. RBAC and visibility controls lack granularity, forcing teams to duplicate configurations. The physical security module skews heavily US-focused, limiting value for European organizations.
We researched lots of threat intelligence solutions while we were making this guide. Here are a few other tools that are worth your consideration:
Provides detailed insights into fraud, ransomware, account takeover, brand risk, vulnerabilities, physical threats.
Threat analytics, outbreak alerts, research, publications, and presentations to help you identify the threats.
An intelligence hub fed by Fortra's telemetry and insights from the dark web, social media, and law enforcement.
Deep and dark web monitoring, alerts, and intelligence to help you prioritize mitigation efforts and shorten investigations.
Contextualizes threat research and IoCs from a variety of threat feeds to give you an accurate view of threats.
When evaluating threat intelligence platforms, we’ve identified seven essential criteria. Here’s the checklist of questions you should be asking:
Weight these criteria based on your operations. SOC teams focused on response speed prioritize alert prioritization and SIEM integration. Threat hunters value source range and analyst support. MSSP-managed services need multi-tenant architecture. Enterprises facing sophisticated adversaries should evaluate managed services and APT-specific coverage.
Expert Insights is an independent editorial team that researches, tests, and reviews cybersecurity and IT solutions. No vendor can pay to influence our review of their products. Our Editor’s Scores are based solely on product quality. Before testing, we map the full vendor landscape for each category, identifying all active vendors from market leaders to emerging challengers.
We evaluated 11 threat intelligence platforms across source coverage, alert quality, integration depth, and response capabilities. We evaluated dark web monitoring, feed ingestion, SIEM integration, and analyst access where available. Each platform was assessed on how effectively it reduces alert noise, surfaces organizational threats, and supports operational workflows. We reviewed customer feedback and conducted interviews to validate vendor claims against real-world deployment experiences.
Beyond hands-on testing, we conducted extensive market research and reviewed customer experiences to understand long term pain points and deployment realities. We assessed onboarding timelines, support responsiveness, pricing transparency, and feature maturity across different use cases. Our editorial and commercial teams operate independently. No vendor can pay to influence our review of their products.
This guide is updated quarterly. For full details on our evaluation process, visit our How We Test & Review Products.
Threat intelligence platform selection depends on your team maturity, integration requirements, and tolerance for management overhead. No single platform excels across all dimensions.
For mid-market teams needing accessible dark web monitoring with strong MSSP support, Recorded Future delivers multilingual analysis and straightforward SIEM integration.
If your team wants autonomous remediation alongside monitoring, Flare moves beyond passive intelligence into active takedown automation.
For APT focused operations with tight analyst access, ESET Threat Intelligence provides persistent nation-state monitoring at entry-level pricing. The UI needs work.
Enterprise teams running complex infrastructure should evaluate managed services: Mandiant for expert-backed managed detection with scheduled threat hunts, or Cyware TIP for multi-source intelligence automation with bidirectional sharing.
Read the individual reviews above to understand source coverage, alert quality, integration specifics, and support models that fit your operational requirements.
Cyber Threat Intelligence (CTI) describes any data that is gathered and analyzed to answer questions relating to your digital and cyber infrastructure or events. This can be a very broad subject area. Some CTI solutions will focus on your organization, your capabilities, and the active threats that you face. However, CTI also encompass broader trends that may affect entire industries or technologies.
CTI may be used to carry out threat hunting and investigation time into specific types of malware, as well as highlighting suspicious activity. Information can be gathered regarding the malware’s origin, attack method, and Indicators of Compromise (IoCs). This assessment will be based on detection rules and other cybersecurity experts, if the platform offers a Managed service with a skilled Security Operations Center (SOC) team.
This intelligence can be used to identify the malware more quickly in future cases. This, by extension, improves remediation times, keeping your organization more secure.
At the other end of the scale, organizations might use CTI to identify market trends and plan future cybersecurity strategy. In this case, organizations will be looking at the “big picture” – such as new cybersecurity technology to implement – rather than the specific details of an individual threat. The big questions in today’s CTI landscape include AI and its uses in carrying out or defending against attacks, as well as how the metaverse might change the way we work.
Cyber Threat Intelligence can be split into three main intelligence groups, defining the type of intelligence they gather and who it is designed for.
Tactical Intelligence is the most granular and specific form of intelligence that focuses on individual threats.
Operational Intelligence relates to the implementation of policies and effectiveness of security tools overall.
Strategic Intelligence looks at the big picture, long term trends to plan a multi-year cyber security strategy.
Depending on which type of intelligence you need, there will be different solutions on the market, with different preset (and configurable) detection rules. Some platforms may offer intelligence across multiple areas, or package information differently depending on destination. This information has a range of applications and uses, depending on the questions that you ask of it.
Cyber Threat Intelligence is a very broad topic that can have a broad range of applications. Because of this, it can seem overwhelming when trying to identify which features are important for your use-case. In this section, we’ll highlight some of the key features that you should consider when selecting a cyber threat intelligence platform.
When it comes to gathering cyber threat intelligence, you might hear the phrase: “cyber threat intelligence lifecycle”. This is used to outline the ongoing process for collecting, collating, analyzing, and presenting relevant information.
The timeframe for this lifecycle will differ depending on how urgent the information is, and who it is designed to advise. For example, strategic intelligence might only be presented quarterly, whilst tactical intelligence needs to be presented minute-by-minute to keep your organization safe.
There are six steps that inform how CTI is gathered and presented to relevant parties:
Your organization must decide what type of intelligence you intend to gather. You’ll need to consider who your stakeholders are, and what you would like the outcome of the analysis to be. You might want to explore an attack surface, understand assets, or decide how best to strengthen security implementation.
2. Collection
In this step, data is collected to answer the questions that the requirements demand (step 1). The nature of this data collection depends on the question. This might involve monitoring traffic logs, conducting interviews with experts, or extracting metadata from devices and internal networks. This stage will produce raw data that can be processed in step 3.
3. Processing
Once data has been collected, it will need to be processed and formatted to make it easier to analyze. To do this, data might need to be decrypted or decoupled from personally identifiable information (PII) or other information that is not relevant to the outcomes stated in step 1. This is also the stage where you can evaluate the data for relevance and reliability.
4. Analysis
This stage requires human intervention to make sense of the compiled data, and to identify trends and anomalies. You might perform statistical analysis to understand if threats are increasing or if response times have altered. In essence, this is the stage where you find the answers to the questions asked in step 1.
5. Dissemination
With data that has been processed, you need to be able to share it with relevant stakeholders. Key findings will need to be highlighted with suggestions of how active threats can be remediated. In this stage, you will consider who the intelligence is for, and the level of detail that is required. You might need to reduce or explain jargon and tailor your findings for the relevant audience. This data might be distributed in a variety of ways – from an email to a presentation or hands-on demonstration.
5. Feedback
Once the intelligence has been collected and shared with relevant parties, the target audience needs to consider how they will act upon the findings. Again, the specific details of this action depend on the target audience and their role within the organization. Are they responsible for procuring new cybersecurity solutions, or for tailoring the policies of existing tools?
The remit for CTI can be as broad or as specific as you decide. The level of detail, as well as the data collected, all depends on what questions you set out to ask, and who the answers are being reported to. This is decided in step 1 of the CTI lifecycle. Common areas analyzed as part of the CTI process include:
There are several companies that offer CTI solutions to gather relevant data and process it to provide relevant intelligence. Many of these solutions will automatically remediate vulnerabilities to ensure your network is as secure as it can be. These solutions can also be used to:
Again, this is a very broad topic with the benefits depending on what you want to investigate with CTI. However, the most common benefits of carrying out cyber threat intelligence include:
CTI is sometimes described as a cybersecurity “roadmap” – it gives security teams an invaluable insight into how security implementation affects the network and guides them to where more work is needed.
This “roadmap” will ensure that remediation efforts can be quick and effective in light of a cyber-attack. The intelligence can identify where a security breach is likely to have happened, then predict the behavior of an attack, to put your response one step ahead of the attack.
Using CTI helps to identify where a security team should be directing their efforts. As they don’t have to work out which areas need to be focused on, they are able to use their time effectively and efficiently. They won’t spend expensive human time sifting through data that a machine can analyze much quicker. It also ensures that any new security implementation will be specific and targeted. This reduces the number of vulnerabilities within your organization, and helps to ensure you’re investing in the right areas the first time around.
Ultimately, CTI can help to improve efficiency by streamlining your cybersecurity response, thereby proving a good return on investment.
With attacks becoming more sophisticated and complex, regulatory bodies are asking for more significant cybersecurity infrastructure. Regulatory frameworks – such as GDPR, SOX, HIPPA, etc – often mandate what security implementation they expect you to have in place. As part of this, effective CTI might be required to ensure your organization is alert to, and prepared for, attacks.
Insurance companies, too, will require you to have effective tools in place to protect your organization. Not only will CTI identify the effectiveness of your existing security set up, but it can also instruct you on where you can improve. If you follow these recommendations, some insurance providers will reduce your premiums.
Failure to implement CTI, or the recommendations made by CTI, could see your insurance cover invalidated, or result in fines and penalties from regulatory bodies.
For more information about how to qualify for cyber security insurance, you can read our comprehensive article here.
The insights provided by CTI are not limited to tailoring policies or suggesting new security tool implementation; CTI can also highlight how your staff can become an important cybersecurity asset. When employees understand the benefits and the limits of a security tool, they are better placed to ensure success.
For example, if an employee understands the significance and the repercussions of a phishing email that has passed through a spam filter, they will be able to act appropriately. They know that a SEG (Secure Email Gateway) is not infallible and are therefore less likely to fall victim to this type of attack. The infromation gained through CTI can inform an SAT solution by highlighting where an organization’s vulnerabilities are. This ensures that users can spend their time completing the most relevant and valuable training.
By gathering information about your network, you can understand the threats you face, and ensure that employees are properly trained to further minimize the risks.
You can read our list of the Top Cybersecurity Awareness Training Solutions here.
By sharing details gleaned from your CTI, you can ensure that organizations present a united front against cyberattacks. By improving security infrastructure across the board, you make it harder for attackers to succeed. There is, therefore, less incentive for hackers to pursue cyberattacks as a means of income, which reduces the likelihood of you becoming a target.
Sharing information about IOCs between organizations will allow you to identify these same indicators more readily, should your network be attacked. Beyond this, if your organization is attacked by a specific malware, another organization’s information regarding the remediation of that malware can be invaluable in managing your own remediation efforts. You will have access to information about how a threat responds once inside a network, and the best strategy for its removal.
The core purpose of cyber threat intelligence is to provide you with the knowledge that allows you to preempt future attacks and thwart them before they can strike—to shift your security practices from reactive to proactive. As ThreatQuotient’s Chris Jacob told Expert Insights in our interview with him.
“Threat intelligence allows you to be predictive in your incident prevention and response. The whole idea is that you’re identifying the malware before you’re infected; you know enough about it from your own research and intelligence feeds to be able to recognize it and know how it’s going to move.”
Having access to the accurate intelligence at the right time enables you to predict and prioritize threats, ensuring that you can implement the right protection to safeguard your organization.
Alex is an experienced journalist and content editor. He researches, writes, factchecks and edits articles relating to B2B cyber security and technology solutions, working alongside software experts.
Alex was awarded a First Class MA (Hons) in English and Scottish Literature by the University of Edinburgh.
Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful.
Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support.
Laura holds a Bachelor’s degree in Cybersecurity from the University of West Florida.