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What Is A Threat Intelligence Platform?
Threat Intelligence Platforms are software systems that leverage multiple data sources in order to aggregate, curate and correlate cybersecurity threats, attacks and vulnerabilities - helping IT teams become aware of any possible risks.
Threat Intelligence Platforms Include:
Interconnected with both internal systems and external feeds for security research, the Real-time updates provide global and internal news in real-time.
Integrate Threat Intelligence Platforms:
Threat intelligence platforms are being increasingly adopted by enterprises to collect data from various sources and formats.
Enterprise cybersecurity teams then utilize threat intel once collected for use by threat intelligence solutions. With cybercrime rising at an alarming rate, threat intelligence platforms have become more common within corporate settings.
Threat intelligence platforms aggregate data across all organizations, providing security teams with external knowledge of threats and improving decision-making.
While it can be challenging to manage and aggregate such large quantities of data from multiple sources, more organizations rely on threat intelligence to detect, investigate, and counter cyberattacks swiftly and accurately.
Security analysts can now spend more time analyzing data and patching vulnerabilities instead of collecting and managing information.
Threat intelligence platforms provide another significant benefit by rapidly and efficiently sharing intelligence among internal and external stakeholders; these platforms may be deployed either on-premises or as software-as-a-service (SaaS).
Five key features of a threat intelligence platform that you must have On the market, you can find a variety of threat intelligence platforms, including independent tools, suites, commercial products, and free or open-source software.
You must assess the tool against five criteria, regardless of which type you select.
Key Features Of Threat Intelligence Platforms
Dynamic Intelligence Feed
Threat intelligence's primary goal is to keep you aware of cyber attacks, both internal and global in scope. Platforms should connect to IT endpoints, security systems and other platforms in order to monitor threats; additionally, they should curate an ongoing stream of emerging and new threats globally - most sophisticated solutions provide case-by-case analyses which reduce internal workload significantly.
Automated workflows
Automatism can be implemented at various levels by a threat intelligence platform. For instance, it can automatically retrieve and refresh information without manual updates, create reports without manual input, integrate with incident management systems for automated alerts to initiate auto-remediation of incidents or integrate with cognitive technologies used by next-generation threat intelligence platforms for filtering out noise and prioritizing high priority data sets.
Integration With The It Ecosystem
Your chosen threat intelligence platform must integrate seamlessly into your infrastructure, ideally being bidirectional - IT systems should transmit internal threat data directly into the platform.
At the same time, its live feed reaches your Security Operations Center. Many platforms come equipped with APIs that allow them to connect seamlessly to any software system.
Smart Data Visualization
Threat intelligence relies heavily on data visualization. IT teams will only find it beneficial when presented in an accessible, intuitive format that is easily consumable by IT personnel.
Dashboards must provide roles-based access, data filters and searches, layout customization options, etc. Furthermore, maps, charts, timelines, graphs and tables should all be utilized when visualizing threat intelligence data to highlight correlations more quickly.
Analysis Tools
Built-in analysis tools have become an increasingly sought-after feature when selecting threat intelligence platforms.
Built-in tools that assist with threat analysis and investigation can be particularly helpful; prebuilt search dimensions could make navigating through dense intelligence feeds easier, for example. Furthermore, some platforms support collaborative analysis.
Why Is Siem So Important?
Security information and event (SIEM) management combines security information management and event monitoring in real-time for real-time analysis, reporting, and auditing of events.
SIEM (Security Information and Event Management) is an innovative solution that helps companies identify security threats early before they disrupt business operations.
AI-powered SIEM automates many manual processes related to threat detection, incident response management, and security management for maximum efficiency.
SIEM systems have evolved into increasingly sophisticated tools. SIEM now features advanced entity and user behavior analytics (UEBA) using AI and machine learning, providing an orchestration system capable of handling ever-evolving security threats while meeting regulatory reporting and compliance needs.
How Does SIEM Work?
At their core, all SIEM solutions perform data consolidation, aggregation and sorting to identify data threats and meet compliance regulations.
Though some solutions offer different capabilities than others, all provide similar basic functionalities.
Log Management
SIEM gathers data across an organization's entire network. Logs and data flow from users, applications, assets, and cloud networks are collected live, then stored and analyzed so IT and security teams can manage event logs in one central place.
Some SIEMs integrate with threat intelligence feeds from third parties to compare internal security data with previously recognized threat profiles and signatures, providing security teams with real-time intelligence about any new attack signatures that emerge.
Event Correlation Analysis
Any SIEM solution must include event correlation. Event correlation utilizes advanced analytics to understand and recognize intricate data patterns quickly, enabling rapid identification and mitigation of potential threats to security.
SIEM solutions improve IT security teams' mean time to detect (MTTD) by automating manual workflows related to in-depth analyses of security events.
Alerts and Monitoring of Security Incidents
SIEM solutions enable centralized management for on-premises and cloud-based infrastructures, providing IT entity identification.
SIEM monitors all users, devices, and applications connected to the network, as well as any abnormal behavior found. Administrators receive alerts immediately using customizable correlation rules, which enables immediate action to mitigate security threats before they become more serious.
Compliance Management and Reporting
SIEM solutions have become an increasingly popular solution for organizations that must comply with various types of regulations.
Their automated data collection, analysis and verification capabilities make SIEM an invaluable tool in gathering compliance data across a business infrastructure. Real-time reports for PCI DSS, GDPR, HIPPA SOX compliance, as well as other standards, can be produced in real-time, as can real-time remediation notifications, allowing earlier detection and remediation.
Many SIEM solutions also feature prebuilt add-ons designed specifically to generate reports that meet compliance standards - saving organizations both time and effort when meeting regulatory compliance obligations.
Read More: Why Cybersecurity is Important for eCommerce Business
SIEM: Benefits of SIEM
No matter the size or scope of your organization, proactive measures should always be taken to mitigate and monitor IT security risks.
SIEM solutions offer numerous advantages to enterprises as an integral component in streamlining security workflows; among these benefits are:
Advanced Real-time Threat Recognition
SIEM solutions that monitor your entire network help organizations reduce time spent detecting and responding to threats and vulnerabilities, helping strengthen security posture as organizations grow.
Auditing For Regulatory Compliance
SIEM solutions enable centralized compliance auditing and reporting across an organization's entire infrastructure.
Automation simplifies collection of logs, security events and system analysis reports in order to meet reporting standards while also saving internal resources.
Ai-Driven Automation
Future SIEMs will feature sophisticated Security Orchestration, Automation and Response capabilities (SOAR), saving IT teams both time and resources when managing security for their business.
These solutions utilize deep machine learning technology to automatically adapt to network behavior while handling complex threat identification and incident response protocols more quickly than physical teams can manage them themselves.
Increased Organizational Efficiency
SIEM can play an instrumental role in improving interdepartmental efficiency. Teams can respond more swiftly and effectively to security incidents and events with access to an integrated SOAR solution.
Discover additional SIEM resources provided by security experts to learn about its benefits for your organization and Security Information and Event Management (SIEM).
These materials provide further insights.
Detecting Advanced And Unknown Threats
Due to the rapidly evolving cybersecurity landscape, organizations must rely on solutions capable of detecting both known and unidentified security threats.
SIEM solutions equipped with AI and integrated threat intelligence can help organizations detect breaches such as those caused by:
Insider Threats: These threats, or security vulnerabilities, result from individuals with authorized access to digital assets or company networks being attacked.
Such attacks could involve compromised credentials being utilized.
Phishing: This form of social engineering takes advantage of human trust by disguising itself as a trusted entity to steal sensitive data such as financial details, login credentials or user details.
SQL injections: (also called SQL server injection) are malicious code executed via compromised websites or applications to bypass security and add, delete or alter records within an SQL database.
DDoS Attacks: Distributed-Denial-of-Service (DDoS) attacks aim to overwhelm networks and systems with unmanageable volumes of traffic, crippling websites and servers until they are unusable.
Data Exfiltration: Data exfiltration can often be accomplished using weak passwords on network assets or an APT to gain entry.
Forensic Investigations
SIEM solutions can help organizations conduct digital forensics investigations following a security breach. SIEM allows organizations to collect and analyze logs from all their digital assets at one central location - helping recreate incidents from the past or analyze current ones to detect suspicious activities more efficiently while implementing security processes.
Reporting and Assessing Compliance
Compliance auditing and reporting can be an arduous yet necessary task for many organizations, however. SIEM solutions reduce resource expenditure by providing real-time audits as well as on-demand reports.
Monitoring Users And Applications
Organizations need the ability to detect network threats beyond their traditional perimeter. SIEM solutions monitor network activity from users, devices, and applications - providing visibility of threats regardless of where digital assets or services may be accessed.
This provides greater transparency while simultaneously protecting digital assets or services against harm.
Features And Tools Of A Siem Solution
Log Data Management
Security Information and Event Management relies heavily on log data collection for its foundational elements: analysis and correlation in real-time to maximize efficiency and productivity.
Network Visibility
SIEM analytics engine's packet capture analysis capabilities give visibility into network flows and assets. They can detect malicious files, IP addresses and protocols traveling across networks.
Threat Intelligence
In order to combat and identify modern vulnerabilities and attack patterns, SIEM solutions must integrate either proprietary or open-source intelligence feeds.
You Can Also Read About The Advantages Of Using It
Not all SIEMs offer identical data analysis capabilities. Next-generation technologies, including artificial intelligence and machine learning, may assist in investigating more sophisticated attacks.
Real-Time Alerts
SIEM solutions are customizable to meet business needs and can use pre-defined alerts and notifications for multiple teams.
Dashboards and Reporting
In some organizations, hundreds or thousands of network events may occur on a daily base. It is important to be able to report incidents and understand them in a customized view with no delay.
IT Compliance
The regulatory compliance requirements of each organization are different. Although not all SIEMs offer full compliance coverage, organizations that work in highly regulated industries tend to prioritize auditing and reporting on demand over other features.
Integration of Security & IT
Integrating SIEM tools into existing security and IT tools will allow organizations to gain visibility.
A Structured Approach To Investing In Cyber Security Will Give You Confidence
Cyber security has become an ever-increasing challenge due to an expanding attack surface that includes mobile, cloud and other technologies supporting digitalization.
These technologies give attackers more opportunities to exploit while simultaneously becoming more skilled, organized and resourced, which enables them to create malware that is tailored specifically for target environments in order to evade detection - not forgetting automaton-aided attackers that speed up operations even further.
Cyber security is essential to businesses' productivity and competitiveness. It helps ensure compliance with a growing list of national, international, and regional cyber security and privacy laws.
Data protection is an integral component of protecting intellectual property and safeguarding data, building trust with employees, partners and customers.
Cybersecurity Is Becoming A More Strategic Goal
Business leaders have made cyber security their strategic goal to address evolving vulnerabilities and threats while also building trust to gain competitive advantages.
No longer an afterthought for compliance purposes, cyber security now constitutes a priority goal for business leaders.
Businesses of all kinds should strive for comprehensive cyber security. One effective method of doing so is using a modern framework or architecture; cyber security tools enable organizations to protect data, detect malicious activities quickly, respond rapidly to threats and recover quickly from attacks.
Cyber security does not just refer to protecting businesses against specific threats; it encompasses providing all the protections necessary for the survival of the organization itself.
Cyber security involves working together with companies to create an ideal IT environment that fosters innovation and achieves its goals.
The National Cyber Security Centre in the UK is working towards making Britain an inviting environment for business.
Each company should work closely with their cyber security teams to develop a secure IT environment that is inviting to their employees, customers and partners.
Cyber security continues to adapt and adapt itself to meet market needs by offering new tools and capabilities. As its importance in businesses increases, so too will its market.
Market leaders will include those supplying digital transformation and moving towards cloud computing technologies. However, traditional security technologies, including those focused on legacy systems and on-premise apps, are expected to see significant decreases.
What Is The Role Of A Cyber Security Architecture?
Organizations should use a reference security architecture to map their existing systems against one another in order to gain an understanding of which technologies and capabilities exist, where they are utilized, and what their primary role is.
Modern security reference architectures consist of five building blocks to form an effective approach to cyber-security.
Manage And Govern. Safeguard Yourself From Harm
Learn about Detect, Respond and Recover. These building blocks all comprise key capabilities necessary for attaining high levels of cyber-security.
Cyber security capabilities (technologies, processes) can be divided into either the govern and manage block or one of four pillars: protect, detect and respond.
Manage And Govern
The govern and manage blocks provide everything necessary to implement a comprehensive approach to maintaining and protecting security architectures.
Their components can be applied across all aspects of cyber security and serve as the cornerstone for reference architectural models.
Within this block, we can find elements of governance like business goals, risk appetites, standards and frameworks, as well as security management elements like asset classifications, risk assessments, security controls and audit and certification processes.
There's also IT risk management, which uses risk-based strategies to identify risks that need mitigating using the other four pillars.
Security reference architecture typically comprises five layers of technology:Here are a few effective strategies to lower your risk.
Once approved, this system may include additional layers. These may include:Full-Service Security Management in Canada and Internationally
Protect, Detect, Respond, Recover
The protection pillar is composed of everything related to data security, such as change controls, network and physical security, vulnerability management and access controls.
Additionally, components that cross over into other pillars, such as endpoint security or detection and reaction (which also form part of this pillar), may fall within this pillar.
The detect pillar encompasses everything related to detecting abnormal or malicious behavior. One component that spans multiple pillars is SIEM/security Intelligence; more broadly speaking, it encompasses five full-service components that cover every level of cyber security: online fraud detection, privacy/breach monitors, anomaly detection, threat hunting, and security operations center services.
As organizations realize they cannot rely solely on protection technologies to thwart hackers from infiltrating corporate networks, responding pillars have become more essential.
Components within response pillars aim to minimize impact when an organization's security breaches occur, and this block specializes in incident management.
This includes malware removal, rolling back nodes to their previous known good states and adding more zero-trust rules in areas where attacks occurred.
It also covers the removal of any viruses that might be present, as well as placing zero trust rules where attacks occur.
Operational resilience has emerged as an integral component of cyber defense. It ensures that any affected organization can quickly recover after experiencing a cyber attack to minimize impact and ensure its long-term survival.
Threat intelligence
Cybersecurity: The All-Seeing Eye
Cyber Threat Intelligence leverages all available resources at all levels of an organization to gain a comprehensive understanding of threats and prevent any attacks that might take place.
TI gathers data from both internal and external sources (public databases, threat libraries, news feeds, internal logs, previous incident reports, network status information or connection lists etc). Once collected, this data can then be used to identify potential threats, weak spots and unwanted IP addresses for attack simulation, real-time analysis or incident response purposes by cybersecurity teams.
Three factors are driving this sector: artificial intelligence/machine learning for data analysis, an increasing amount of data to be analyzed, and an exponentially expanding attack surface.
Manually sifting through all this data in search of weak links is very time-consuming compared to real-time analytics facilitated by AI/ML with multiple sources connected to an organization's digital ecosystem providing real-time analysis and insights; it is no wonder then that threat information demand has just begun to materialize.
Investment Opportunity
Threat Intelligence vendors must utilize various sources in order to provide comprehensive analyses. Still, most have entered the market with just a handful of unique sources.
As such, competition in this sector became relatively fragmented; most players remained within its "private" realm. Consolidation started to occur as threat analytics and intelligence markets gained steam, and demand rose. Now, threat intelligence platforms are no longer stand-alone options; instead, they have become integrated into solutions offered by prominent vendors like Microsoft's acquisition of RiskIQ; Tenable, CrowdStrike's IntSights acquisition, Medtronic Qualys and Rapid7 all offer cybersecurity services with threat-intelligence platforms as part of their offerings.
Application Security
The Point Of Departure
Software lies at the core of everything; it forms the backbone of digital life and provides users with an interface.
Application security is especially critical given its central position, where minor problems may quickly escalate into unmanageable impacts; due to this status, AppSec can experience compound annual revenue growth rates between 22% and 44% per annum.
Application security requirements arise for many reasons, including
1) digitization driving software development for restaurants (e.g., COVID-19 regulations);
2) Open-Source software which can easily be modified; and
3) Automated code assessment, which makes testing against well-known vulnerabilities simple and affordable for software development companies liable for any damage done as part of their services contract.
4) Software developers themselves are accountable for testing code to comply with regulatory requirements or face liability for any resulting harm caused to third parties.
The Conclusion Of The Article Is:
Artificial Intelligence will become increasingly essential to SIEM systems in the coming years, as its cognitive capabilities enhance decision-making ability and allow systems to grow and adapt as endpoints increase.
AI can assist SIEM tools with collecting more data as IoT technologies, cloud services, mobile phones and other technologies evolve.
