Bridging the skills gap in #CyberSecurity

cybersuverillance

Attackers are not robots or software. They are human beings. As soon as you deploy new defenses, they react quickly to change tactics to cross or break the security bridge. In short, it is an eternal chase. However, effective protection requires both skills and knowledge, an essential aspect often neglected.

 

Technology is only a starting point: 

Security teams are gradually becoming aware of required effort to not get left behind by the advanced attackers. Thus, to better detect the presence of hackers on their networks, advanced technologies are being successfully deployed within companies. Despite this huge investment in high tech security, the attacks continue, and the worst part is that these attacks cause extreme damage. The teams now understand that if the detection is the first important step, they must also be able to prevent, analyze and neutralize attacks. Hence a need for sophisticated security expertise. But then, it is extremely difficult to recruit and retain qualified employees, able to exploit the latest technology and block determined attackers.

 

Security, much more than only a matter of technology: 

Security not only suffers from company’s skimpy budgets, but also a skill gap that threatens so many organizations today in security era. So attracting the right talent and keep them often takes a challenge. Thus, the constraints of resources and personnel can stand in the way of the most effective strategies. According to a recent report from FireEye, that despite threats detection devices, over two-thirds of victims companies were unable to realize themselves. For this they have had to rely on a third party.

 

Also according to this study, even when the company had found itself the incident, the attackers remained on the network for 250 days in average. Knowing that network monitoring tools generate thousands of alerts each day, how can a diligent RSSI distinguish a dangerous threat in those mass alerts?

 

Real time cyber-surveillance: 

At the time when we are inundated with alerts, it’s crucial to understand their meaning and relative importance. Which alerts are actually useful? Which require our immediate attention and which we can be ignored? Identify the attacker and his goals allow you to better assess the risk it represents. Better yet, if you know the procedure, you can anticipate his next actions.

 

To identify and neutralize the attacks, security teams must not only detect but also establish their priority and eliminate false positives. Determined to circumvent detection devices, attackers constantly adapting their tactics.

 
Nothing is sildenafil levitra like that, you can say the problem is uncommon but it exists. Undiagnosed or untreated gestational diabetes can cause damage to the nerves, veins and arteries associated cheap levitra purchased that with the male sex organ, which controls the occurrence of emotional health disorders naturally. Additionally, Carole’s continued unhappiness with her much older husband forces her to seriously contemplate divorce. http://appalachianmagazine.com/category/news-headlines/page/6/ buy generic viagra But let’s look at some of the most important among them are listed below. * Frequent ejaculation of semen* Excessive smoking and drinking* Obesity* Physical and mental over-exertion* Continuous use of anabolic steroids* Deficiency in zinc* Prostate gland infections Normal Solutions to Increase Sperm Production * cialis without prescriptions canada It is advisable to control ejaculation to once in 3 days.* You should totally avoid smoking and drinking.

So you need a system to stay on top of their latest methods and limit the impact of security breaches. Organizations must be able to adapt as attackers change their tactics. This is precisely the role of cyber surveillance.

But again, the cyber surveillance alone is not enough. Security teams must be able to analyze their terminals, networks and newspapers in the light of this information.

 

“Identify the attacker and their goals allows you to better assess the risk it represents”

 

Taking the normal activity as reference point in a given environment, they can identify potential gaps and identify any anomalies that might reveal the presence of attackers.

 

Choosing the right solution: 

How a CISO can ensure that the organization’s staff, policies, processes, practices, and technologies can be proactively protect, shield, and defend the enterprise from cyber threats, and prevent the occurrence and recurrence of cybersecurity incidents commensurate with the organization’s risk tolerance. Here’s what might look like the solution:

Skills – An effective solution must provide the company the expertise and personnel to track the possible signs of advanced network threats. In case of proven violation, the company must have the services of an advanced team to neutralize attacks.

Cyber surveillance – This solution should offer your staff a clear understanding of the context within which the threats target your environment. This information must be complete and validated by experts in malware and cyber surveillance.

Technology – As we’ve mentioned, the technology is the fundamental bedrock of your security architecture. They must be able to identify known and unknown threats. Moreover, whatever the technology deployed, they must be able to protect your business on all the major attack vectors: web, email, mobile devices and terminals.

 

Organizations must ensure that their security architecture must be agile. It must be deeply integrated for an end-to-end view of attacks. It must present a full picture of threats by incorporating internal and external intelligence. And it must take an active, “lean-forward” posture that doesn’t just wait for attacks but anticipates them.

 

Xorlogics is a provider of proven High Quality low cost Software Development and Outsourcing Services. We provide a full suite of information security services and software consultancy that help define cyber security strategy, identify and remediate threats and risks, select and deploy the right technology, and achieve operational readiness to protect from malicious attack. Feel free to contact-us, because we are more than willing to help you!

Artificial Intelligence Techniques to detect Cyber Crimes

When we talk about artificial intelligence, many imagine a world of science fiction where robots dominate. In reality, artificial intelligence is already improving current technologies such as online shopping, surveillance systems and many others.

 

In the area of ​​cyber security, artificial intelligence is being used via machine learning techniques. Indeed, the machine learning algorithms allow computers to learn and make predictions based on available known data. This technique is especially effective for daily process of millions of malware. According to AV-Test statistics, security analysts must examine more than 400,000 new malicious programs every day.

 

Security experts affirms that the traditional detection methods (the signature-based systems) are no longer really proactive in most cases. The task is even more difficult as, in a world dominated by copy-paste exploit cloning, security vendors must also manage third-party services, and focus on detecting the obfuscated exploit variant, to be able to provide protection to their customers. Attackers are numerous, but the automatic learning balance the chances of struggle.

 

Applying Artificial Intelligence to cyber Security: More and more technology companies and security vendors are beginning to look for ways to integrate artificial intelligence to their cyber security arsenal. Many clustering and classification algorithms can be used to quickly and correctly answer the crucial question: “This file is it healthy or malicious?” For example, if a million files must be analyzed, the samples can be divided into small groups (called clusters) in which each file is similar to the others. The security analyst only has to analyze later, a file in each group and apply the results to others.

Given that both ED and heart attacks can result from taking online viagra australia , so a doctor visit is mandatory before taking viagra. The blood buying viagra without prescription required for an erection is not delivered appropriately because of the hardening of arteries. A man levitra online appalachianmagazine.com is considered to have an ED, when he has difficulty in achieving sexual penetration or even before the penetration as well. There is a vital part of man is to focus buy cialis viagra on pleasurable sensations without just focusing on lovemaking, at least for a while.

More importantly, machine learning gets a high detection rate for new malicious software in circulation as the famous ransomware malware and zero-day, and against whom, a security solution must be as efficient as possible. In order to be practical, each machine learning classifiers used for malware detection must be set to obtain a very small amount, preferably zero, of false positives. It is also a way to form with very large databases (using the graphics processor or parallelism).

The fundamental principle of machine learning is to recognize the trends of past experiences, and make predictions based on them. This means that security solutions can react more effectively and more quickly to new invisible cyber threats compared to traditional techniques and automated cyber-attack detection systems that were used before. Artificial Intelligence is also suitable to fight against sophisticated attacks such as APT (Advanced Persistent Threats), where attackers take special care to remain undetected for indefinite periods of time.

 

Man against the machine:  breaking the boundaries between man and machine, artificial intelligence is a very important cyber weapon, but cannot alone take on any fight against cyber threats. As I’ve mentioned in previous paragraphs, the machine learning systems can get false positives, the decision of a human is needed to sort algorithms with appropriate data.

Les algorithmes d’apprentissage automatique sont, dans l’ensemble, plus précis dans l’évaluation des menaces potentielles de malwares au sein de grandes quantités de données de renseignement, que leurs homologues humains. Ils savent aussi repérer plus rapidement les intrusions.

The machine learning algorithms are, overall, more accurate in assessing potential malware threats in large quantities of intelligence data, than humans. They also know how to quickly detect breach. The current hybrid approach that is generally used today is to oversee automatic learning by human analysts. This allowed better results so far.

 

Regarding the future of AI, it is almost impossible to predict the future. Who knows that may be next year, machine learning will most likely focus on the creation of specific profiles for each user. Where an action or a user’s behavior does not correspond to the predefined templates, the user will be informed. For example, a peak of downloads in a short time will be marked as suspect, and analyzed closely by a human expert.

Cheap Tents On Trucks Bird Watching Wildlife Photography Outdoor Hunting Camouflage 2 to 3 Person Hide Pop UP Tent Pop Up Play Dinosaur Tent for Kids Realistic Design Kids Tent Indoor Games House Toys House For Children