Platform - CompliQ

AI Firewall

In today’s environment, AI systems face a variety of evolving threats such as prompt injection attacks, data leakage, and the risk of generating harmful or biased content. The AI Firewall feature is crucial because it provides the following.

Proactive Risk Mitigation

By intercepting malicious inputs and scrutinizing outputs, it helps prevent security breaches and ensures that sensitive data isn’t inadvertently exposed.

Enhanced Compliance and Ethical Safeguards: With increasingly stringent regulations and the need for ethical AI use, these scanners ensure that AI behavior aligns with both legal standards (e.g., GDPR) and ethical best practices.

Operational Resilience

By continuously filtering and validating data at both entry and exit points, COMPLiQ’s AI Firewall helps maintain the integrity of AI-driven systems even under adversarial conditions, reducing the risk of model manipulation or denial-of-service attacks.

Transparency and Accountability

Coupled with COMPLiQ’s logging and monitoring features, the firewall provides an auditable trail of interactions, which is essential for forensic analysis and regulatory reporting.

The AI Firewall feature in COMPLiQ is essentially composed of two integrated scanning mechanisms: the Input Guardrails and the Output Guardrails.

Input Scanner

This component acts as the first line of defense. It scrutinizes incoming prompts before they reach the AI model by checking for malicious or risky content. This includes filtering out potential prompt injection attacks (where attackers embed harmful commands in otherwise benign inputs), executable code, personally identifiable information (PII), banned keywords, and any topics that might raise ethical concerns. By analyzing factors such as sentiment and toxicity, it ensures that only safe, compliant data is processed by the AI.

Output Scanner

Once the AI generates a response, the output scanner steps in to validate the content. It checks for issues like hallucinations (where the model might generate inaccurate or unsupported information), inadvertent data leakage, or content that might be harmful or biased. By assessing relevance, accuracy, and appropriateness—including language tone and compliance with regulatory standards—it helps maintain a high quality of output and mitigates risks associated with inappropriate or non-compliant responses.

AI SIEM

The AI SIEM (Security Information and Event Management) module within COMPLiQ is designed to centralize and streamline the management of AI-related security events. It acts as a bridge between the detection mechanisms (like Input and Output Guardrails) and the broader security operations of an organization. Here’s how it works and why it’s valuable:

Aggregation of Security Events
The SIEM module collects alerts and logs generated by the AI Firewall, turning raw data into structured security events. This makes it easier for security teams to view and analyze potential threats in one place.

Event Correlation
By automatically correlating events from different sources—such as model interactions, user sessions, and historical incident data—the system identifies patterns that might indicate a coordinated attack or emerging threat. This correlation helps in prioritizing which events require immediate attention.

Threat Intelligence Integration
The module leverages real-time threat intelligence feeds. These feeds update the SIEM with the latest information about potential vulnerabilities and emerging attack vectors, ensuring that the security measures are always current and effective.

Case Management and Reporting
AI SIEM includes tools for documenting incidents, performing materiality assessments, and generating regulatory disclosure reports. This structured approach supports efficient incident management and ensures that the organization meets compliance requirements.

Centralized Incident Response
By consolidating security events and automating the initial analysis, the SIEM module empowers security teams to quickly respond to and mitigate threats. This reduces the window of opportunity for attackers and helps maintain operational resilience.

AI Insights

The AI Insights feature in COMPLiQ is all about transforming raw interaction data—both prompts and responses—into clear, actionable insights through dynamic dashboards. Here’s how it works and why it matters:

Data Aggregation and Normalization
AI Insights collects data from every stage of the AI interaction lifecycle. This includes raw prompts, generated responses, and metadata associated with each event. The system aggregates and normalizes this data, ensuring consistency and clarity.

Real-Time Dashboards
The aggregated data is then visualized on customizable dashboards. These dashboards provide stakeholders with an overview of key metrics such as usage patterns, response times, frequency of specific prompts, and anomaly detection. The real-time aspect means that organizations can immediately see trends and shifts in AI behavior.

Usage Pattern Analysis
By examining the data, the feature helps identify how often certain types of prompts are being used, which responses are most common, and where the AI might be underperforming or overused. This analysis supports informed decisions about model adjustments or policy changes.

Anomaly and Trend Detection
The insights drawn from the dashboards can highlight potential security or operational issues. For instance, unexpected spikes in certain types of prompts or anomalous response behaviors can be flagged for further investigation, enabling proactive risk management.

Data-Driven Optimization
By providing a clear view of the AI model’s performance, AI Insights enables organizations to optimize their deployments. Decisions regarding scaling, retraining, or fine-tuning models can be driven by tangible data rather than guesswork.

Blockchain Secured Immutable Logging

Blockchain secured immutable logging in COMPLiQ is designed to create a tamper-proof, cryptographically verified audit trail of all AI-related transactions. This feature leverages blockchain technology to ensure that every recorded event—from prompts and inferences to outputs and security alerts—is permanently stored and resistant to unauthorized modifications.

Tamper-Proof Record Keeping
Every interaction and security event is recorded on a blockchain ledger, making it virtually impossible for any party to alter or delete the logs. This creates an immutable audit trail that can be trusted for forensic analysis and regulatory reviews.

Enhanced Transparency and Accountability
The immutable logs provide a transparent view of all AI activities. Stakeholders and auditors can verify the integrity of the data, ensuring that all actions within the AI system are traceable and accountable.

Real-Time Auditing
By continuously logging AI interactions in real time, organizations can quickly identify discrepancies or unauthorized changes. This real-time visibility is crucial for rapid incident response and continuous monitoring of AI operations.

Compliance Support
Maintaining a blockchain-secured log helps organizations comply with stringent regulatory standards, such as GDPR and the EU AI Act. The verifiable record ensures that all data-handling processes are documented and auditable.

Forensic Analysis and Incident Management
In the event of a security incident, the immutable log provides a reliable source of truth. Security teams can review the entire history of AI interactions to understand what occurred, identify vulnerabilities, and implement corrective measures.

The COMPLiQ Platform is a purpose-built defense system, designed specifically to secure any AI model being leveraged within your organization. It seamlessly integrates with your existing architecture and workflows to ensure you stay ahead of threats.