Our Services
End-to-end AI security, from adversarial red teaming to autonomous defense, model protection, and compliance.
AI Red Teaming & Pentesting
Our offensive security team simulates real-world adversarial attacks against your AI systems. We go beyond automated scanning. We think like attackers to find what scanners miss.
Every engagement is mapped to the OWASP AI Top 10 and MITRE ATLAS frameworks, delivering a clear risk picture with actionable remediation.
Deliverables
Prompt Injection Testing
Test direct and indirect prompt injection vectors that can alter model behavior, bypass instructions, or extract system prompts.
Jailbreak Simulation
Systematically bypass safety guardrails and content filters using known and novel jailbreak techniques.
Data Exfiltration Attacks
Extract sensitive training data, PII, or proprietary information through targeted prompting strategies.
Model Manipulation Testing
Test model robustness against adversarial inputs designed to produce incorrect, biased, or dangerous outputs.
AI Abuse & Misuse Scenarios
Simulate misuse and weaponization, harmful content generation, social engineering payloads, and code exploits.
AI Penetration Testing
Full-scope pentesting of AI systems, pipelines, APIs, and infrastructure, beyond just the model layer.
Defensive Security
LLM Security & Guardrails
Protect your AI models, data, and applications in production with layered defense.
LLM GuardrailsProduct
Prompt Injection Detection
Real-time detection engine that identifies and blocks injection attempts before they reach your model.
Output Filtering
Filter toxicity, policy violations, and sensitive data from model responses automatically.
Secure Prompt Design
Harden system prompts against extraction, manipulation, and override attacks.
Role-Based Prompt Isolation
Enforce strict isolation between system, user, and tool prompts to prevent cross-context attacks.
LLM Access Control
Fine-grained access control for model capabilities, tools, and data sources.
AI Data Protection & Privacy
Data Leakage Prevention
Monitor and prevent sensitive data exposure through AI inputs and outputs.
PII Masking
Automatically mask personally identifiable information in prompts and responses.
Vector DB Protection
Secure embeddings and vector databases against extraction and poisoning attacks.
Data Isolation Strategies
Enforce tenant isolation and data boundaries in multi-user AI systems.
AI Pipeline Encryption
End-to-end encryption for data flowing through AI training and inference pipelines.
AI Application Security
LLM API Security
Secure your LLM API endpoints against abuse, injection, rate-limit bypass, and unauthorized access.
Chatbot Security
Harden customer-facing chatbots against manipulation, data extraction, and prompt abuse.
AI Agent Security
Secure autonomous AI agents, tool usage, permission boundaries, and action validation.
RAG Pipeline Security
Protect retrieval-augmented generation pipelines against document poisoning and context injection.
Input/Output Validation
Enforce strict validation on all data entering and leaving your AI systems.
Secure Plugin & Tool Usage
Validate and sandbox third-party tools and plugins used by AI agents.
Model Protection
AI Model Security
Protect your model weights, training data, and fine-tuned models from theft and tampering.
Model Theft Prevention
Protect model weights and architectures against extraction, reverse engineering, and unauthorized replication.
Model Integrity Validation
Verify that models haven't been tampered with, detect backdoors, poisoning, and unauthorized modifications to weights or behavior.
Secure Model Deployment
Secure the full deployment lifecycle, from model registry to serving infrastructure, with access controls, signing, and runtime monitoring.
Training Data Protection
Secure training datasets against poisoning, leakage, and unauthorized access throughout the ML pipeline.
Model Robustness Testing
Test model resilience against adversarial inputs, distribution shift, and edge cases that can cause unexpected failures.
Supply Chain Security
Audit third-party models, pre-trained weights, and dependencies for backdoors, vulnerabilities, and license compliance.
PIDS Platform
Autonomous SOC & Threat Detection
AI-driven security operations, from threat detection to automated response and AI-powered analytics.
AI-Driven Alert Triage
LLM-powered alert analysis that triages, prioritizes, and enriches security events, reducing noise and surfacing real threats.
Dual-Agent SOC
Red AI continuously probes for weaknesses. Blue AI defends and adapts. Together they form a self-improving, adversarial security loop.
Automated Incident Response
AI-driven playbooks that contain threats, isolate systems, and initiate remediation, autonomously and in real-time.
AI Threat Detection & Monitoring
Anomaly Detection
Detect unusual patterns in AI system usage and behavior.
Prompt Behavior Monitoring
Track and alert on suspicious prompting patterns in real-time.
Model Abuse Detection
Identify attempts to misuse or weaponize your AI systems.
Real-Time Risk Scoring
Continuous risk assessment across all AI interactions.
AI-Powered Security Solutions
AI Threat Detection Engine
Custom ML models trained on your environment for precision detection.
AI Phishing Detection
Detect sophisticated phishing campaigns using NLP and behavioral analysis.
AI Malware Classification
Classify and analyze malware families using deep learning models.
AI Fraud Detection
Pattern recognition and anomaly detection for financial fraud prevention.
Compliance
AI Governance & Compliance
Navigate the regulatory landscape with frameworks and services designed for AI systems.
International standard for AI management systems, governance, risk, and responsible AI.
Risk management framework for trustworthy AI development and deployment.
Top 10 security risks for AI applications, mapped to every engagement.
Adversarial threat landscape, tactics, techniques, and case studies for AI attacks.
Governance Services
AI Risk Assessments
Comprehensive risk evaluation of AI systems against industry frameworks.
Policy Creation
Develop AI usage policies, acceptable use guidelines, and security standards.
Compliance Audits
Audit AI systems for regulatory compliance and generate evidence documentation.
AI Lifecycle Governance
Governance controls across the full AI lifecycle, from development to retirement.
Consulting
AI Architecture & Secure Design
Expert consulting for building AI systems that are secure by design from day one.
Secure AI System Design
Architecture reviews and threat modeling for AI systems. Design security controls into your AI infrastructure before you build.
Private LLM Deployment
Deploy and secure on-premise LLMs with Ollama, vLLM, or custom solutions, full data sovereignty with no external API dependencies.
Secure RAG Architecture
Design and secure retrieval-augmented generation pipelines, document ingestion, embedding storage, context injection, and access control.
Cloud AI Security
Secure AI workloads on AWS, GCP, and Azure. IAM policies, network isolation, secrets management, and compliance controls for cloud AI services.
Ready to Secure Your AI?
From red teaming to compliance, let's build your AI security strategy together.
Request Demo