Identify. Exploit. Secure.
Monitor. Detect. Respond.
At Cyberintelsys Consulting Services, our AI Security Operations Center (A-SOC) provides continuous monitoring, detection and response capabilities specifically designed for AI and Large Language Model (LLM) environments. We help organizations gain real-time visibility into AI misuse, abuse, attacks and anomalous behavior, ensuring AI systems operate securely, reliably and within governance boundaries.
AI SOC (A-SOC) provides continuous monitoring and threat detection for AI and LLM systems, extending traditional SOC to address AI-specific risks like model abuse, prompt manipulation and data leakage. It helps organizations detect misuse, monitor model behavior, prevent unauthorized access and respond quickly to AI security incidents.
Continuous AI Threat Monitoring
24×7 visibility into AI applications, models, APIs, agents and inference environments.
Early Detection of AI-Specific Attacks
Identify threats such as prompt injection, jailbreak attempts, data exfiltration and automation abuse in real time.
Faster Incident Response
Reduce detection and response time for AI-related incidents through proactive monitoring and alerting.
AI systems introduce non-traditional attack vectors that are often invisible to conventional SOC tools.
Our AI SOC (A-SOC) Coverage includes:
Prompt injection and indirect prompt injection detection
Jailbreak attempts and guardrail bypass monitoring
Abnormal prompt and response behavior analysis
Sensitive data exposure and output leakage detection
AI API misuse, abuse and rate-limit violations
Unauthorized fine-tuning or model access attempts
AI agent action monitoring and abuse detection
CI/CD and model deployment integrity monitoring
At Cyberintelsys, we provide AI SOC (A-SOC) services with continuous monitoring and threat detection, helping organizations identify AI risks, prevent abuse and respond quickly to AI security incidents.
We identify AI assets including models, datasets, APIs, agents, pipelines and deployment environments.
We enable and integrate AI-specific logs, prompts, responses, API calls and metadata into monitoring systems.
We configure detection rules, behavioral analytics and anomaly detection tailored to AI attack scenarios.
24×7 monitoring of AI environments with contextual alerts and threat prioritization.
Investigate AI-related incidents, identify root causes and support containment and remediation.
Provide dashboards, incident reports, trends and recommendations to strengthen AI security posture.
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Our clients rely on us to secure their critical applications and protect their data. Hear what they have to say about our expertise, dedication, and the impact of our web application penetration testing services.
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Improved AI Reliability & Trust
Ensure consistent and predictable AI system behavior
Reduced AI Abuse & Misuse Risk
Detect and stop malicious or unintended AI behavior early
Data Protection & Privacy Assurance
Prevent leakage of sensitive, regulated or proprietary data
Operational AI Risk Reduction
Minimize downtime, automation failures and AI-driven incidents
Regulatory Readiness
Support alignment with NIST AI RMF, ISO/IEC 42001, EU AI Act and internal AI governance
Stronger Oversight & Accountability
Gain visibility and control across the AI lifecycle
Benefits of AI SOC (A-SOC) / AI Threat Detection
Types of AI SOC Services We Offer
AI Threat Monitoring & Detection
Real-time detection of AI misuse, abuse and adversarial activity.
LLM Output & Behavior Monitoring
Monitoring for unsafe outputs, hallucinations and policy violations.
AI API & Integration Monitoring
Detection of abuse, excessive usage and unauthorized access.
Mobile App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report.
Security Audit and VAPT
Cyberintelsys is an Indian cyber security solution provider helping companies from various industries to fight cybercrimes
Web App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report. Any advice, opinion and expectation,
Mobile App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report.
Web App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report. Any advice, opinion and expectation,
Our structured SOC process continuously monitors AI systems, detects threats in real time and helps ensure your AI environments remain secure and resilient.
1. AI environment discovery & onboarding
Identify AI assets, models, APIs, data sources and integrations, onboarding environments to establish visibility across AI and LLM ecosystems.
2. Log, telemetry and data source integration
Integrate logs, telemetry and data sources from AI platforms, applications and infrastructure to enable centralized monitoring and threat detection.
3. AI specific detection rule development
Develop custom detection rules for prompt abuse, model misuse, data leakage, anomalous behavior and unauthorized AI access patterns in real time.
4. Continuous monitoring & alerting
Provide round-the-clock monitoring with intelligent alerts to quickly identify suspicious activities, emerging threats and abnormal AI behaviors.
5. Incident investigation & response support
Investigate AI security incidents, analyze root causes and support rapid response actions to contain threats and restore safe business operations.
6. Reporting, dashboards & metrics
Deliver actionable reports, dashboards and metrics highlighting AI risks, incidents, trends and overall security posture across environments.
7. Threat intelligence integration
Incorporate AI-specific threat intelligence feeds to enhance detections, enrich alerts and proactively identify emerging risks targeting AI systems.
8. Tuning & continuous improvement
Continuously tune detections, improve alerts and refine processes to adapt against evolving AI threats and enhance SOC effectiveness.
Protect Your Business from Emerging Cyber Threats
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Frequently Asked Questions
Quick Answers to Your AI Threat Detection Concerns
When AI systems are in production, exposed to users, integrated with automation or handling sensitive data.
Yes. A-SOC focuses on AI-specific threats, behaviors and misuse, which traditional SOCs do not fully cover.
No. A-SOC complements existing SOC operations by extending coverage to AI and LLM systems.
Prompt injection, jailbreaks, data leakage, API abuse, automation misuse and abnormal AI behavior.
AI threat dashboards, alerts, incident reports, trend analysis and ongoing security improvement recommendations.