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Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 - Seceon
+1 (978)-923-0040 info@seceon.com
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 require
identify actual threats
platform and reported
security analysts to write correlation rules to
from a plethora of events analyzed by the
as potentially suspicious. This is a complex
human intensive task, often prone to error. Seceon’s aiXDR leverages
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 workflow 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.
is built upon its Open Threat Management
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 that
detect network anomalies.
aiXDRsolution
(OTM) Platform enabling organizations to detect both signature-based
The Seceon
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 - sales@seceon.com
Website - https://www.seceon.com/

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Seceon's aiXDR_ Automating Cybersecurity Threat Detection in 2023 - Seceon.pptx

  • 1. Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 - Seceon +1 (978)-923-0040 info@seceon.com 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
  • 2. 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 require identify actual threats platform and reported security analysts to write correlation rules to from a plethora of events analyzed by the as potentially suspicious. This is a complex human intensive task, often prone to error. Seceon’s aiXDR leverages 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
  • 3. Seceon's aiXDR: Automating Cybersecurity Threat Detection in 2023 - Seceon go through a typical workflow 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. is built upon its Open Threat Management 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 that detect network anomalies. aiXDRsolution (OTM) Platform enabling organizations to detect both signature-based The Seceon
  • 4. 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 - sales@seceon.com Website - https://www.seceon.com/