AptaRed
Red Teaming & Evaluation
AptaRed is an automated adversarial testing platform that continuously identifies, generates, and evaluates threats across text, audio, image, and video to help organizations harden AI systems against real‑world attacks. At its core, AptaRed's Vault engine supplies continuous, domain‑aware threat intelligence by monitoring the live adversarial landscape and generating tailored seed prompts aligned to industry, regulatory, and geographic requirements—ensuring testing reflects evolving attack patterns and Responsible AI standards.
Vault
Curated adversarial prompt library spanning jailbreaks, injections, and multi-modal attacks with live threat feed updates.
Forge
200+ mutation operators generating novel adversarial variants from seed prompts — finding vulnerabilities before attackers do.
Nexus
Multi-turn, multi-modal structured evaluation supporting text, audio, video, and image across complex conversation flows.
Finding
Data
Data
tuning
Model
AptaResolve
Remediation & Blue Data
AptaResolve turns adversarial findings from AptaRed into targeted training Red and Blue data, using observed attack behavior to improve model safety and fine-tuning outcomes. By relying on synthetic rather than sensitive production data, it helps organizations remediate vulnerabilities while reducing compliance exposure.
Red Data
Adversarial prompts and attack patterns curated from red team exercises — structured as high-quality training examples showing unsafe behavior.
Blue Data
Safe, corrected responses paired with red data — forming complete training pairs that teach models the right behavior under attack.
MCP Proxy
AgentRed
Agentic AI Security & MCP Proxy
AptaSentry's Agentic AI Security layer addresses the full threat surface including Indirect Prompt Injection Detection, MCP Proxy & Traffic Inspection, Behavioral Anomaly Detection, Agentic Trace Debugger, and Sensitive Data Protection.
Indirect Prompt Injection Detection
Detects injection attacks embedded in emails, documents, and web content agents process.
MCP Proxy, Skills & Traffic Inspection
Sits inline between agents and tools — inspecting all traffic for unauthorized calls and privilege escalation.
Behavioral Anomaly Detection
Establishes agent baselines and flags deviations in real time.
Agentic Trace Debugger
Full audit trail of every decision, tool call, and output in an agent workflow.
Sensitive Data Protection
Automated PII detection and redaction before data reaches the LLM context window.
AptaSignal
Runtime Guardrails & Monitoring
AptaSignal operates as a transparent proxy — The prompt request is sent to the real LLM (zero latency on the critical path) and simultaneously fans out a copy of the prompt to an async AptaSignal evaluation engine. No blocking, no modification, no interference with the live flow. The evaluation engine scores each prompt across RAI pillars. Results surface in a real-time dashboard and can fire alerts into Slack, PagerDuty, or any webhook.
Adaptive Guardrails
Dynamically adjusting policies that learn from production traffic and emerging threats.
Live Prompt & Response Monitoring
Real-time analysis of every prompt and response — without sampling.
Drift & Anomaly Detection
Detects model drift over time and behavioral anomalies indicating compromise.
Policy Violation Detection
Pre-built rules for PII, harmful content, competitive mentions, and custom policies.
Workflow Routing
Intelligent routing of flagged interactions to reviewers, fallback models, or auto-remediation.
AptaBadging
Model Security
AptaBadging is a trust layer for enterprise AI that replaces guesswork with evidence—enabling organizations to verify that public models operate within the RAI pillars. As global regulations like the EU AI Act, NIST AI RMF, and emerging SEC requirements demand demonstrable due diligence, AptaBadging provides independent, structured validation to support confident model selection and deployment.
Static Model Scanning
Deep inspection of model weights and metadata for known malicious patterns.
AI Bill of Materials (AIBOM)
Complete inventory of every model component, adapter, and training data lineage.
CI/CD Gate Enforcement
Blocks unvalidated models from reaching production — integrates with existing pipelines.
Compliance Mapping
Maps results to MITRE ATLAS, NIST AI RMF, EU AI Act, and GDPR for audit-ready documentation.
Persistent Audit History
Immutable audit trail of every validation event and behavioral change for regulatory purposes.
AptaConsult
AI Evaluation Consultation
The strategy and expertise that make your entire Sentry investment work. Tools alone do not produce AI security. Without a clear evaluation strategy, calibrated benchmarks, and an expert-designed programme, even the most capable platform produces findings that teams struggle to act on.
Evaluation Strategy & Program Design
Custom red teaming programs aligned to your threat model and regulatory requirements.
Custom Benchmarks & LLM-as-a-Judge Guardrails
Calibrated benchmarks and guardrails tuned to your specific use cases and safety requirements.
Agentic System Evaluation
Deep-dive security assessment of autonomous agent architectures and trust boundaries.
Regulatory Compliance Advisory
Expert guidance on EU AI Act, GDPR, NIST AI RMF, and ISO 42001.
Ongoing Optimisation
Continuous programme refinement as your AI stack and the threat landscape evolve.