Seceon's aiXDR_ Automating Cybersecurity Threat Detection
                     Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 
- Seceon
 +1 (978)-923-0040  in [email protected]
Seceon’s aiXDR: Automating  
Cybersecurity Threat 
Detection in  2023
by Seceon Thought Leadership | Feb 16, 2023 | aiMSSP, aiXDR, Cyber Security 
Company,  Cybersecurity Solution, Ransomware Detection | 0 comments
Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 
- Seceon
In 2023, a best in breed cybersecurity solution must detect  
cyber  threats & anomalous behavior using signature and  non-
signature-  based techniques and respond to these threats via 
native capabilities.
Seceon’s comprehensive platform includes more than 15 tools 
like AI,  ML, Vulnerability Assessment, SIEM, SOAR,  UEBA, NBAD, 
NTA,  EDR,  TI, but our focus for today is an area that frequently 
comes up in  conversation with customers and partners alike.
Most platforms security analysts to write correlation rules 
require  identify to  from  a plethora  of  events  analyzed  
actual threats  by  the  as potentially suspicious. This is 
phulamtfaonr mi ntensive atnads ka, cofmtepnl exprone to error. Seceon’s aiXDR 
rl evpeorrategdes  Dynamic Threat Models to automate this task. These 
threat models are  based on patented technology with 
preconfigured rules, adjusted  dynamically based on an 
organization’s usage pattern.
Here are some salient points on aiSIEM’s Threat 
Detection  capabilities:
•It can identify malicious activity and infections on devices 
that are  outside traditional perimeter defense and split 
VPN connection.
•It can identify advanced threat infection vectors regardless 
of being  inside or outside the corporate network.
•It can detect infections without the presence of any file 
analysis  software.
•It can detect infected hosts and endpoints regardless of 
the OS  involved.
In Seceon aiXDR, only the threats with high probability 
(Confidence  Level) are translated into alerts, thus reducing 
alert fatigue  and  wasteful work. These selective alerts can be 
sent as notifications to  Security Operations Centre (SOC) teams 
via emails. Also, syslog  notifications and Webhook interfaces 
are included. Additional  interfaces such as OpenDXL and 
aiXDR’s API functions can be blended  to enhance the security 
data exchange model.
The automation is complemented by built-in alert workflow 
and audit  capabilities for security analysts that prefer 
manual steps. An alert can
Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 
- Seceon
go through a typical workfl ow with these actions –  Assign, 
Comment,  “Not an Alert”, Remediate, Trusted Threat Indicator 
and Close.  The  entire lifecycle is preserved for alert analysis 
and presented graphically  to show evolution trends.
Primary focus is placed on a proactive approach to threat 
detection and  response with minimal SOC/analyst involvement 
so that security  incidents can be averted or reduced 
considerably. Hence incident  management is translated into 
critical and major alerts in Seceon’s  taxonomy. An incident can 
be further investigated by drilling into the  alert and stepping 
through the validated Threat Indicators all the way  down to 
the event data (suspicious activity type, executable,  
parent/child process, OS vulnerability, date detected etc). Also, 
further  investigation can be conducted at asset level, device 
level or user level  through the Deep Tracker tool.
At Seceon we’re collaborating with many of the best 
Cybersecurity  Operation Centers across the globe. One 
requirement we often hear  requested from analysts is a 
solution that natively offers behavioral  techniques (non-
signature-based detection), such as machine  learning  or 
advanced analytics in addition to signature-based techniques 
The Seceon
that  detecat inXeDtRw ork anomis abluieilst. upon its Open Threat 
(OTM) Platfsoormlu teionnabling oMragnaangizeamtieonts to detect both 
signature-based
Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 
- Seceon
malware with precedence and zero-day threats without 
precedence,  quickly and effectively, thereby thwarting the kill 
chain and minimizing  the extent of damage across business and 
enterprise environments.  Towards that end, aiXDR eschews 
static rules-based threat detection  in favor of dynamic threat 
models and behavioral analytics, utilizing  elastic compute 
power and  advanced  machine  learning. Furthermore,  AI with 
actionable intelligence and anomaly detection algorithms with  
definitive indicators are  synthesized to eliminate threats in real-
time,  thus eliminating the need for investing hours and days to 
establish  predefined static rules.
The aiXDR solution empowers SOC teams to orchestrate and 
analyze  operational security data, manage threats and 
vulnerabilities, and  respond to security incidents in real-time.
Address - 238 Littleton Road Suite #206 
Westford, MA 01886
Phone no - +1 (978)-923-0040 
Email Id - [email protected]
Website - https://www.seceon.com/