The purpose of Deception Technology is to avoid any serious harm being caused by a cybercriminal who has managed to penetrate a network. The technology works through the generation of traps or deception decoys that imitate legitimate technology assets across the infrastructure.
These decoys can run in the environment of a virtual or real operating system and are designed to trick the cybercriminal into thinking they have discovered a way to escalate privileges and steal credentials. Once a trap is triggered, notifications are transmitted to a centralized deception server which records the affected decoy and the attack vectors the cybercriminal used.
One of the most critical criteria for effective application of the Deception Technology is that it must stay new and invisible to the intruder. If the perpetrator believes that they are being tricked, they will do their utmost to escape traps and improve their attempts to hit their real target.
Many security solutions to deception have machine learning and AI incorporated into their core. Not only do these features ensure that deception techniques are kept dynamic, but they also help reduce operational overheads and the impact on security teams by freeing them from constantly creating new campaigns of deception.
Cyber defense is about giving an entity the ability to counter cyber attacks through cyber security on the go. It involves all the processes and practices that will defend a network from unauthorized access or manipulation, its data, and nodes. The most common activities in cyber defense will include:
An increasingly evolving trend is the use of Deception Technology as a feasible method for successful and intelligent post-breach defense in modern information security. But it comes with misconceptions as with any disruptive technology. As cyber criminals tend to phish, trap, trick, and attract people, cyber defenses need to step past finding bad activities in an ocean of positive behavior in the first place.
Cyber defenses need to move beyond being primarily based on detecting bad things.There is a clear case for invoking an active defense to lure, detect, and defend against malware and intruders moving laterally within the network, given how attackers are progressing.
A rapidly emerging phenomenon is the use of deception technology in modern cyber security as a viable means of active, smart post-break defense. And cyber fraud is on its way to the key stage of information defense as a feasible choice for an aggressive defense.
To work with deception, you must present to the opponent what appears to be a reality by trying to trick them into engaging with deception decoys or lures, which allows you to learn that they are within your systems and also how they perform the attack. This is an ancient concept that has been used in all aspects of business and life. But we are focusing on how that general concept in the cybersecurity realm is properly implemented.
Additionally, it must be comprehensive and cover an ever-changing surface of the attack to bring deception to its full power. Some vendors offering deception-based cybersecurity focus only on one form of deception — such as credentials, decoys, or data files. But it's better if you can cover all methods and services of attack by putting credentials and mapped drive objects to attract engagement and decoys to attack in the network, in the cloud, and in specialized places like IoT, POS, and SWIFT. You can make these disappointments ubiquitous with today's virtualized technology, which gives you the highest probability of detecting an attack wherever it occurs.
Utilizing deception has many benefits.:
Deception provides a means to change the balance of force between the attacker and the defender. The attacker has had power in the past. They have to succeed only once, while the defender has to succeed every time.
Today, the defense can easily predict the attack of deception, know the techniques of the enemy, and build an aggressive countermeasures strategy to outsmart their foe. Attack analyzes and forensics are much more actionable and efficient and high-fidelity warnings allow emergency management measures such as blocking, quarantining and danger detection to be automated. The SOC (Security Optimization Center) team at Infopercept works to ensure there are no data leakages with automatic response systems to eliminate the possibility of a serious attack.