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1. Threat Detection and Response
As organizations are hosting their critical data on virtual servers and
with greater use of networking, automation, and the internet, the risks
associated have increased manifold in cyberattacks. As in any other
activity, intelligence is critical to ward off any attack by enemies. In the
IT context, threat intelligence and detection are the knowledge that
allows businesses and government organizations to prepare and prevent
such attacks.
Threat intelligence is backed by data that allows one to know in

2. advance the attackers’ identity, their motivation, how capable they
are. This also indicates that areas in the system are weak or
vulnerable, which could be the potential target. By knowing this
crucial information’s as an intelligence input, cyber experts make
informed decisions on how to beef up the security.
Threat detection is addressed by Seceon through User Entity
Behavior Analytics (UEBA) riding on Machine Learning algorithms to
identify various tactics and techniques used the perpetrators.
Threat Detection
This activity is carried out in the IT ecosystem that helps scan and
analyze the entire network and identify if there is any malicious
activity that can compromise the network. If any threat is detected,
the efforts to mitigate and neutralize them before they can exploit the
vulnerabilities present in the system.
Getting breached can be a nightmare for any organization, and
almost all organizations are now prioritizing their cyber security
controls. They are putting the smart technologies and people to work
on the information received by creating a defensive barrier in
anticipation of anyone trying to cause trouble. Cyber security is an
ongoing process and continuously needs to be alert as it is not a
guarantee against attacks.
The concept of threat detection is multifaceted when reviewed
against specific security programs of different organizations. The
worst-case scenarios must always be considered when irrespective of
the best security program of an organization, something slips past the
defensive or preventive technology and becomes a threat to the
system.
Threat Detection and Response
Speed is the essence when it comes to threat detection and mitigation. It is crucial
for security programs to detect threats efficiently and quickly so that attackers do
not get enough time to zero into sensitive data. A defensive program is wired to
prevent most
threats based on their past experience and analysis. This means they know the
attack pattern and how to fight them. These threats are

3. considered “known threats.” In addition to them, there are other
threats of the “unknown’ variety which organizations have to detect
and battle against. This implies that these threats have not been
encountered before, as the attackers may be using new techniques
and technologies to circumvent the existing barricades.
It is also seen that even the known threats can sometimes slip
through the defensive measures. This is why organizations should
look out for both known and unknown varieties in their IT
environment.
So how can an organization ensure that they detect both known and
unknown threats before any damage is caused? There are several
ways one can boost one’s defense arsenal.
• Threat intelligence leverage
Threat intelligence helps to understand past attacks and compare
them with enterprise data to identify new threats. This is effective
when detecting known threats but may not provide valuable inputs
for unknown ones. Threat intelligence is used frequently in antivirus,
IDS or intrusion detection systems, Security Information Event
Management, and web proxy technology.
• Setting traps for attackers
Attackers find some targets too tempting to leave them. Many
security teams know this and set up bait for the attacker, hoping that
they succumb. An intruder trap could be a honey trap within the in-
house network services. They might appear appealing to the attacker,
who prefers using the honey credentials with all the user privileges.
This attacker goes after triggers an alarm to the security system data.
The security team gets alerted to potentially suspicious activity in the
network and nudges them to investigate even if nothing has
happened.
• Behavior analytics of users and attackers
Using tools for user behavior analytics, an organization will be able to
Understand the expected behavior of its employees. For example,

4. what kind of data employees typically access, what time they usually
login into the system, and from which location. A sudden change in
their behavioral pattern, like login into the organization systems at 2
am from another location, arouses suspicion as the concerned
employee usually works from 9 am to 5 pm and never travels. This
unusual behavior calls for an immediate investigation by the security
team.
For attacker behavior analytics, it is challenging as there is no
reference or baseline benchmark for activity comparison. Here one
has to look out for unrelated activities detected on the network, which
attackers leave behind as breadcrumbs activity. Here, both the human
mind and technology get together to put in place pieces of crucial
information that help form a clear picture of what the attacker could
be up to on the organization network.
• Carrying out threat hunts
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Instead of waiting for threats to appear, the security team takes a
proactive approach. It goes outside their network endpoint to look for
attackers that may be lurking nearby. This is an advanced technique
used by security experts and analysts who are threat veterans. Also,
using all the above combinations of approaches is an excellent
proactive way to monitor data, assets, and employees.
Two-pronged approach for threat detection
For an effective threat detection strategy, both human and technology
is required. The human component is the security analysts who
analyze the trends, behavior, patterns, data, and reports and identify
deviant data that indicates a potential threat.
Technology also plays a crucial role in detecting threats though no
single tool can do this job. Instead, there is a combination of tools that
are collated across the network that helps to identify the threats. A
robust detection mechanism that needs to be deployed includes.
• Aggregate data from events in the network, including logins,
network access, authentications.
How can I help you?
• Monitoring the traffic patterns and understanding them in the
Threat Detection Vendors | Threat Detection and Response Company https://www.seceon.com/threat-detection-and-response/

5. organization network and the internet.
• Detecting endpoint activity on users’ machines to understand any
malicious activity.
Seceon’s Solution
• A compromised Credential is a clear indicator of an insider trying to
gain access to information that he or she could potentially misuse.
As shown in the screenshot below (aiSIEM Portal), a particular user
was found to be logging into an unexpected host – which was a
departure from profiled behavior.
• Data Exfiltration is also an activity that may be undertaken by the
insider. In this case, there may be indicators of increased
communication with a high-value host. The techniques applied are
similar to Data Breach Detection use case.
Conclusion
By employing a combination of defensive strategies and methods,
organizations increase their chances of detecting threats quickly and
effectively canceling them out before any damage to the network is
done. Cyber security is a continuous process, and service providers
like Seceon use the most advanced artificial intelligence for the
technology required for threat detection. They provide remedial
platforms for organizations beyond traditional defense tools that are
often silos in nature. By providing a comprehensive real-time analysis
of vulnerabilities, they detect threats and eliminate them in real-time.

6. Contact Us
Address -238 Littleton Road, Suite
#206,Westford, MA 01886, USA
Phone Number - +1 (978)-923-0040
Email Id - sales@seceon.com
info@seceon.com
Website - https://www.seceon.com/