AI security e-guide: The rising AI threat landscape & why training matters
PrismObserve™
AI Observability, Threat Detection & Performance Monitoring Platform
PrismObserve™ is an enterprise-grade AI observability platform designed to monitor, analyze, and secure Large Language Model (LLM) applications in production. It provides real-time visibility into model behavior, security risks, performance issues, and compliance exposure, helping organizations operate AI systems safely at scale.
the challenge
AI Systems in Production Create New Blind Spots That Traditional Monitoring Tools Cannot Detect, Leading to Gaps in Security, Performance, and Compliance
Sensitive Data Exposure Risks
AI systems may unintentionally expose PII, financial data, or regulated information through prompts and responses.
Prompt Injection and Manipulation Threats
Malicious inputs can alter model behavior, override instructions, or extract system-level data.
Harmful or Non-Compliant Output
Models may generate toxic, unsafe, or policy-violating content without detection.
Performance Degradation and Latency Issues
Delays in response time, token throughput drops, and inconsistent performance impact user experience.
Lack of Auditability and Traceability
Limited visibility into historical interactions makes compliance and forensic analysis difficult.
Inadequate Monitoring for AI-Specific Risks
Traditional observability tools do not provide content-aware detection or AI-focused telemetry.
Our Approach
PrismObserve™ Applies a Continuous, Multi-Layered AI Observability Framework to Keep AI Systems Secure, Performant, and Compliant in Production
Telemetry Capture
Capture prompts, responses, token usage, timing metrics, and metadata directly from AI applications.
Secure Data Ingestion
Transmit telemetry securely using optimized batching and retry mechanisms.
Data Structuring and Indexing
Normalize and structure telemetry for time-series analysis, querying, and correlation.
Security and Performance Detection
Analyze interactions for threats such as prompt injection, PII exposure, and harmful content, alongside performance metrics.
Alert Generation and Classification
Generate structured alerts with severity levels such as Critical, High, Warning, and Info.
Service Offerings
SISA PrismObserve™ Provides the Observability and Monitoring Needed to Secure AI Systems in Production
Detect harmful content, sensitive data exposure, and prompt manipulation across user inputs and model outputs.
Track latency, token throughput, and time-to-first-token to identify degradation trends.
Generate structured alerts with severity classification and contextual insights.
Maintain complete interaction logs for compliance, governance, and forensic analysis.
Ensure strict isolation across tenants, applications, and environments.
Customize performance and security thresholds based on business and operational needs.
BENEFITS
SISA’s PrismObserve™ Helps You Run AI Systems with Greater Confidence, Visibility, and Control
Continuous AI Monitoring
Gain real-time visibility into AI system behavior across production environments.
Early Threat Detection
Identify and respond to prompt injection, sensitive data exposure, and harmful outputs before impact.
Improved Performance Assurance
Detect latency issues, throughput drops, and response delays early to maintain service quality.
Compliance and Audit Readiness
Maintain complete traceability of AI interactions to support governance and regulatory requirements.
Scalable Multi-Tenant Operations
Support enterprise-scale deployments with strong isolation and structured data management.
WHY SISA
Why Organizations Choose PrismObserve™ from SISA
AI-Specific Observability Design
Built specifically for AI systems, not adapted from traditional monitoring tools.
Content-Aware Threat Detection
Detects risks within prompts and responses, not just system-level signals.
Integrated Security and Performance View
Combines threat detection and performance monitoring into a unified platform.
Enterprise-Grade Architecture
Designed for scalability, multi-tenancy, and high-volume AI workloads.
Configurable and Flexible Framework
Supports environment-specific thresholds, policies, and operational tuning.
Aligned with AI Governance and Risk Needs
Supports compliance, audit, and governance requirements for AI deployments.
