Uploaded on Aug 10, 2022
Seceon is Advanced Network Detection & Response Platform That Provides Scale, Scope & Consistency. Deployed in the Cloud or On-Premises, Detect & Protect against Cyber-attack. Call Us: +1 (978)-923-0040
Threat Detection and Response
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
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
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,
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
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.
• Monitoring the traffic patterns and understanding
them in the
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.
Contact Us
Address -238 Littleton Road, Suite
#206,Westford, MA 01886, USA
Phone Number - +1 (978)-923-0040
Email Id - [email protected]
[email protected]
Website - https://www.seceon.com/
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