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AI & Cybersecurity

Protect the critical infrastructure

AI plays a vital role in protecting and preventing cyber threats against critical infrastructure. Leveraging these capabilities will help us move forward in age of quantum-era.

Quantum proof era will require a holistic approach, combining technology with human expertise. 


How we harness the power of AI ?

Advanced Threat Detection

Advanced Threat Detection

Advanced Threat Detection

  • By leveraging machine learning algorithms, we identify patterns, anomalies, and indicators of compromise, allowing us to detect emerging threats and sophisticated attack techniques. 

Behavioral Analytics

Advanced Threat Detection

Advanced Threat Detection

  • By detecting anomalous behavior indicative of insider threats or compromised accounts, we can swiftly respond to potential security incidents before they escalate.

Predictive Intelligence

Automated Incident Response

Automated Incident Response

  • Predictive intelligence provides insights into future cyber threats, allowing organizations to proactively fortify their defenses.
  • By analyzing historical data, threat intelligence feeds, and emerging trends, we can anticipate potential threats and vulnerabilities, enabling proactive mitigation measures to be implemented.

Automated Incident Response

Automated Incident Response

Automated Incident Response

  • With AI-driven automation, we streamline incident response processes, enabling rapid detection, analysis, and remediation of security incidents. 
  • Our automated playbooks and workflows orchestrate response actions, such as threat containment, isolation, and remediation, minimizing the impact of security breaches and reducing response times.

Identify Threats faster and respond proactively

Automated detection & response

Automated detection & response

Automated detection & response

Threat Intelligence

Automated detection & response

Automated detection & response

Case Management

Automated detection & response

Behavior modeling & anomaly detection

Behavior modeling & anomaly detection

Behavior modeling & anomaly detection

Behavior modeling & anomaly detection

Enterprise data modeling

Behavior modeling & anomaly detection

Enterprise data modeling

Alert management

Behavior modeling & anomaly detection

Enterprise data modeling

Knowledge management

Security operations support

Security operations support

Security operations support

Security operations support

Security operations support

Use of AI in Cyber

Threat Detection & Prevention

Protect sensitive/confidential data

Threat Detection & Prevention

Automated Response

Protect sensitive/confidential data

Threat Detection & Prevention

Protect sensitive/confidential data

Protect sensitive/confidential data

Protect sensitive/confidential data

Behavioral Analysis

User Authentication & Access Control

Protect sensitive/confidential data

Incident Resposne

User Authentication & Access Control

User Authentication & Access Control

User Authentication & Access Control

User Authentication & Access Control

User Authentication & Access Control

Vulnerability Managemenet

Vulnerability Managemenet

Vulnerability Managemenet

Security Analytics

Vulnerability Managemenet

Vulnerability Managemenet

Predictive Analysis

Vulnerability Managemenet

Adaptive Security Measures

Adaptive Security Measures

Build employee and customer trust

Adaptive Security Measures

Phishing Detection

Build employee and customer trust

Build employee and customer trust

Build employee and customer trust

Build employee and customer trust

Build employee and customer trust

How do we use AI ?

Threat Detection and Analysis

Threat Detection and Analysis

Threat Detection and Analysis

  • We have implemented AI-driven algorithms to analyze network traffic patterns, system logs, and user behavior to detect anomalies and potential security threats. 
  • We utilize machine learning models to identify known and unknown malware, ransomware, and other malicious activities in real-time.

Predictive Analytics

Threat Detection and Analysis

Threat Detection and Analysis

  • We use predictive analytics to forecast future cyber threats and proactively implement countermeasures to mitigate risks. 


  • We have best in class solutions to analyze particular threat. 

Automated Incident Response

Threat Detection and Analysis

Automated Incident Response

  • Due to high volume of data/logs, to act faster pace, we have developed playbooks and workflows to automate routine tasks, such as threat containment, quarantine, and remediation, reducing response times and minimizing the impact of security breaches. 

Behavioral Biometrics:

Threat Intelligence Integration:

Automated Incident Response

  • To overcome insider threat, we have implemented  AI-based behavioral biometrics to authenticate users based on their unique behavioral patterns, such as keystroke dynamics, mouse movements, and typing speed to detect unauthorized access attempts.

Threat Intelligence Integration:

Threat Intelligence Integration:

Threat Intelligence Integration:

  • We have integrated AI-driven threat intelligence feeds into security operations to enrich data analysis and enhance threat detection capabilities. 
  • & leveraging AI algorithms to correlate threat intelligence data with internal security logs and events, providing context and prioritization for security alerts.

Vulnerability Management:

Threat Intelligence Integration:

Threat Intelligence Integration:

  • We have employed machine learning algorithms to identify emerging vulnerabilities and zero-day exploits, enabling proactive patching and security updates.

Continuous Monitoring and Adaptation:

Continuous Monitoring and Adaptation:

Continuous Monitoring and Adaptation:

  • AI-powered security monitoring solutions is being used to continuously monitor the infrastructure for suspicious activities, adapting and learning from new threats and attack techniques.

AIOps bringing APM and ARM together

The combination of iterative machine learning & model tuning

Artificial Intelligence refers to the deployment of computer systems that can perform tasks that typically require human intelligence. 

AI is being used in automating routine tasks, improving detection capabilities and helping organizations stay ahead of the ever-evolving cyber threat landscape. 

Rapid change is elevating cyber risk

New & expanding attack vectors because of the proliferation of IoT devices.

Attackers are shifting to adaptive, multi-variant threats.

Attackers are shifting to automation.

Cyber skills gap & capacity constraints.

Lack of visibility and coordination with third-party providers.

Lack of insights across data types - metadata, contextual, behavioral.

Information overload from disparate data sources and tools.

Ready to bring APM and ARM together for predictive AIOps?
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