Staff Articles

Step-by-Step Guide to Implementing Cyber Threat Hunting in 2024

Learn how to implement an effective cyber threat hunting strategy for 2024 with this step-by-step guide. Stay ahead of advanced cyber threats!

Table of Contents
1. What is Cyber Threat Hunting?
1.1 Why It Matters in 2024
1.2 Common Cyber Threats in 2024
2. The Core Components of an Effective Cyber Threat Hunting Strategy
2.1 People (Skills & Expertise)
2.2 Processes (Frameworks & Methodologies)
2.3 Technology (Tools & Platforms)
3. Step-by-Step Guide to Implementing Cyber Threat Hunting in 2024
3.1 Step 1: Establish a Baseline of Normal Network Behavior
3.2 Step 2: Hypothesis Creation and Investigation
3.3 Step 3: Data Collection & Aggregation
3.4 Step 4: Threat Detection and Analysis
3.5 Step 5: Response and Mitigation
3.6 Step 6: Continuous Improvement and Learning
4. Measuring the Success of Your Threat Hunting Program

Introducing Why Cyber Threat Hunting is Critical for 2024

As cyberattacks advance in their sophistication and frequency, traditional cybersecurity defenders-the firewalls, antivirus software, even intrusion detection systems-are no longer sufficient in protecting companies. Organizations are bound to face advanced persistent threats (APTs), ransomware, as well as insider attacks in 2024 that often go undetected by automated detection tools. This makes proactive cybersecurity a dire necessity.

According to new research findings, the average amount of time taken before it is possible to detect a breach stands at more than 200 days, which is a very long window for cyberthieves to siphon sensitive data and cripple business operations.

This mainly occurs in B2B organizations operating within the finance, healthcare, and technology sectors, as these sectors are mainly characterized by sophisticated attackers seeking high-value data. However, the only solution is in cyber threat hunting-a proactive security approach aimed at detecting threats before they trigger damage.

In the guide here, we will cover the most important steps to implement a robust cyber threat hunting strategy tailored for 2024-overview of all the skills, processes, and technologies that will help in keeping your business safe.

1. What is Cyber Threat Hunting?

Cyber threat hunting is one of the proactive cyber security practice wherein the trained and well-equipped security analysts proactively search for hidden or undetected threats within an organization’s network. While the traditional monitoring systems passively wait for alerts, the threat hunters search for malicious activity or a weakness that can be exploited.

1.1 Why It Matters in 2024

Today, the threat landscape for cyber defence is no longer passive but active detection. Attackers are continually evolving by attempting to evade detection with tactics like lateral movement, credential dumping, and fileless malware. Threat hunting becomes very critical in this approach since it looks beyond waiting for automated tools to flag an anomaly and instead hunts for and discovers sophisticated attacks made to evade traditional defenses.

1.2  Common Cyber Threats in 2024

Some of the prominent threats businesses will face in 2024 include the following:

  • Advanced Persistent Threats (APTs): Organized cyberattacks that siphon off data for long periods of time without being detected.
  • Ransomware: A ransomware attack encrypts a victim’s data and demands payment in lieu of providing decryption keys.
  • Insider Threats: It is an employee or contractor who intends to do evil or shows malacious carelessness in doing his duty that might lead to security breaches.
  • Zero-Day Exploits: In this case, attacks exploit vulnerabilities that have not been patched yet.

2. The Core Components of an Effective Cyber Threat Hunting Strategy

2.1 People (Skills & Expertise)

It needs a group of people who have deep knowledge of cybersecurity, network architecture, and threats that could be specific to an organization. The two key positions are:

  • Threat Analysts: Experts in identifying and investigating potential threats.
  • Incident Responders: Responsible for taking action when a threat is discovered.
  • Security Engineers: Focus on building and maintaining tools for threat detection.

Businesses can also outsource cyber threat hunting to MSSPs, which have dedicated threat detection and response professionals on board.

2.2  Processes (Frameworks & Methodologies)

Most organizations utilize frameworks like MITRE ATT&CK, which detail known adversarial tactics and techniques, to establish some framework to threat-hunting efforts. There exist three primary threat-hunting methodologies: 

  • Hypothesis-Driven Hunting: Hypothesizing based on intelligence related to potential entry points or attacks.
  • Indicator-Driven Hunting: Known indicators of compromise (toxic IP addresses or domains) are used to find threats.
  • Intelligence-Driven Hunting: Searches for threats based on external sources of threat intelligence about potential risks.

2.3 Technology (Tools & Platforms)

The right technology stack is important in a successful threat hunt:

  • SIEM (Security Information and Event Management): Collecting and parsing log data from your network and looking for anomalies.
  • EDR (Endpoint Detection and Response): Scans endpoints for suspicious activities.
  • UEBA (User and Entity Behavior Analytics): This kind of analytics uses AI to detect unwanted behaviors that may indicate a potential and compromised user account.

Automation and machine learning are also extremely significant for the threat-hunting strategies of 2024 as these help in reducing human errors and increasing efficiency.

3. Step-by-Step Guide to Implementing Cyber Threat Hunting in 2024

3.1 Step 1: Establish a Baseline of Normal Network Behavior

So, how do you detect the anomalies you are looking for? The fact is, you don’t know what an anomaly is unless you know what normal activity looks like. So, make use of those monitoring tools; track regular patterns across endpoints, user behaviors, and network traffic. That will let you quickly identify when something’s not patterned behavior.

3.2 Step 2: Hypothesis Creation and Investigation

Formulate hypothesis from intelligence report or suspected vulnerabilities. For instance, “We might be susceptible to lateral movement since our recent upgrade of software.” Plan your investigation by reviewing logs, correlating data, and using tools to monitor affected areas.

3.3 Step 3: Data Collection & Aggregation

Collect information that could stretch network traffic, endpoint activity, and even event logs. Log aggregation will be necessary to combine these from SIEM and endpoint monitoring tools for more streamlined analysis.

3.4 Step 4: Threat Detection and Analysis

Look for any pattern or anomaly in the collected data. AI and machine learning algorithms are quite sensitive to very minor indicators of compromise that could easily be missed by the human naked eye. For example, a sudden increase in network traffic or unusual login attempts maybe an indicator of something going rogue.

3.5 Step 5: Response and Mitigation

As soon as your incident response team has identified the presence of a threat, they should contain and mitigate it with maximum speed possible. This may include quarantining affected endpoints, disabling user accounts, or blocking malicious IP addresses. In this step, coordination with the SOC is very important.

3.6 Step 6: Continuous Improvement and Learning

For each hunting cycle, you must refine your strategy and keep abreast of the latest intelligence on threats so you can keep track of emerging threats. Automation enables you to scale hunting activity and facilitates continuous improvement.

4. Measuring the Success of Your Threat Hunting Program

In order to make the process of threat hunting successful, the following KPIs should be watched over:

  • Dwell Time Reduction: Elapsed time between the detection of entry of a threat into your network and its identification and neutralization.
  • False Positives vs. True Positives: Higher accuracy in threats being detected with fewer false alarms.
  • Mean Time to Detection (MTTD): The time taken by your team to identify an alleged threat.

Benchmark your success against industry standards to measure effectiveness of your program and identify areas for improvement.

Preparing Your Business for the Future of Cyber Threat Hunting

Proactive cyber threat hunting is no longer an option but has become a necessity for businesses in 2024. With the development of a professional team, proper processes, and tools-and continuous updates about the ever-changing threats-a business stands in a better position against such cybercriminals and secures its digital infrastructure.

Now is the time to act. Build your cyber threat hunting strategy today to make sure your network is secure in 2024 and beyond.

Explore AITechPark for top AI, IoT, Cybersecurity advancements, And amplify your reach through guest posts and link collaboration.

Related posts

The Rise of Serverless Architectures for Cost-Effective and Scalable Data Processing

AI TechPark

Transforming businesses through Remote Infrastructure Management

AI TechPark

The Era of AI innovation is here

AI TechPark