Deception technology is a cybersecurity strategy that deploys decoys and traps to mislead attackers and detect network intrusions. It is designed to deceive threat actors by creating an environment that appears authentic but is, in fact, a controlled and monitored setup.

You can compare deception technology to a net over a hole in the ground hidden under a pile of leaves designed to fool intruders who may wish to infiltrate a facility meant only for authorized personnel.

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Want to know how deception technology helps cybersecurity teams protect their networks? Read on.

What Are the Steps in Employing Deception Technology?

Cybersecurity specialists follow five steps when using deception technology.

Step #1: Deployment

In this step, security teams typically deploy decoys and lures across a network to create a realistic and enticing environment for attackers.

Step #2: Attraction

Attackers, believing the decoys to be real, attempt to exploit them. The decoys are designed to be attractive by simulating vulnerabilities and containing valuable data.

Step #3: Detection

Any interaction with a decoy triggers alerts simply because legitimate users should have no reason to interact with them. This immediate detection allows security experts to respond to potential threats rapidly.

Step #4: Engagement

Once attackers engage with a decoy, security teams can closely monitor their actions. This engagement helps them gather intelligence on the attackers’ methods and intentions.

Step #5: Response

Finally, security teams use the information they gather to respond to a threat, including isolating affected parts of a network, blocking IP addresses, and improving overall security measures.

What Are Examples of Deception Technology?

Deception technology encompasses many tools and techniques designed to mislead attackers and detect malicious activities.

  • Honeypots: Can be low- or high-interaction. They simulate services, systems, or networks to obtain information about the attackers and their activities.
  • Honeynets: Are honeypot networks that simulate a real network environment. They can obtain extensive information about the attackers who interact with them.
  • Decoy systems: Can be servers or workstations. They mimic real production systems to attract attackers to interact with them instead of the actual ones.
  • Deception tokens and breadcrumbs: Examples include fake credentials and documents or other network lures. They appear real and lead attackers to decoy systems or information when used.
  • Deception grids: Specialized solutions that deploy and manage a network of decoys and lures attackers across an organization’s entire infrastructure. They automatically create and manage deceptive elements, providing centralized monitoring and alerting.

What Are the Major Types of Deception Technology?

Deception technology comes in three primary types—endpoint, application layer, and data deception.

Endpoint deception typically employs fake endpoints. To make it work, security teams deploy decoy endpoints that appear as real devices to attackers. In actuality, however, these endpoints can detect lateral movement attempts within a network. They also use fake files and folders in actual endpoints, which, when accessed, trigger alerts and provide intelligence on attacker behaviors.

Application layer deception, meanwhile, employs fake web pages and application programming interfaces (APIs). They enable security professionals to detect and monitor web-based and API-targeting attacks.

Finally, data deception uses fake records interspersed with real ones to thwart data exfiltration attempts. Security teams also use honeytokens or digital entities that appear legitimate but are designed to alert administrators when accessed or used, helping detect unauthorized activities.

What Are the Pros and Cons of Using Deception Technology?

Using deception technology has both ups and downs.

BOONSBANES
Allows cybersecurity teams to detect intrusions early, often before they can do any significant damageCan be complex and time-consuming since it requires careful planning and regular updates to ensure realism
Provides valuable information about attackers, their methods, and their targetsMay pose legal implications regarding entrapment and ethics
Reduces false positives since any interaction with decoys is highly suspiciousCan lead to false negatives if attackers can bypass decoys without interacting with them
Can be cost-effective since it does not require constant updates and can be integrated into already-existing security infrastructureMay not be as useful for detecting insider threats or automated attacks that do not engage with decoys

Who Employs Deception Technology?

Many organizations use deception technology for specific use cases.

Enterprise networks, for instance, use deception technology to protect large and complex networks from sophisticated threats. Critical infrastructure owners, on the other hand, do so to secure vital services, such as utilities and transportation means provision.

Financial service providers utilize deception technology to prevent fraud and protect sensitive financial data. Finally, healthcare providers employ it to safeguard patient information and medical records.

Deception technology is an advanced and proactive cybersecurity approach, offering a strategic layer of defense by confusing and catching attackers before they can cause harm.

Key Takeaways