Services
AI Red Teaming
Adversarial testing of LLMs, AI agents, and machine learning systems. We expose the vulnerabilities that automated tools miss — before the EU AI Act deadline of August 2026.
The Deadline
EU AI Act: August 2026
The EU AI Act mandates adversarial testing for high-risk AI systems. Non-compliance carries the strictest penalties in EU regulatory history — and the deadline is closer than most organizations realize.
Maximum penalty — or 7% of global annual revenue, whichever is higher. The most severe in EU regulatory history.
of LLMs deployed in production have never undergone adversarial security testing.
of organizations prioritize AI security in 2025. 95% have increased AI security budgets accordingly.
Insurers now require "AI Security Riders" with documented red teaming before issuing coverage for AI-powered systems.
Our Methodology
APEX Methodology & AIVEX Scoring
We developed the APEX Methodology (Adversarial Penetration & Exploitation of AI Systems) — a proprietary 7-phase framework that systematizes the identification, exploitation, and remediation of AI-specific vulnerabilities. Unlike conventional pentesting, APEX is purpose-built for LLMs, autonomous agents, RAG pipelines, and automated decision-making systems.
Every APEX engagement is scored using AIVEX (AI Vulnerability Exposure Index) — our proprietary 38-metric quantitative framework distributed across 7 risk groups. AIVEX provides a standardized, reproducible measure of AI exposure that CVSS was never designed to capture: prompt injection robustness, RAG data integrity, agent security, and EU AI Act alignment.
Backed by ongoing PhD research in AI Red Teaming — a unique academic credential in the Spanish market.
APEX Methodology — 7 Phases
- • F1 — AI Reconnaissance & Inventory
- • F2 — AI-Specific Threat Modeling (MITRE ATLAS)
- • F3 — Automated Assessment (Garak, PyRIT, Promptfoo)
- • F4 — Expert Manual Exploitation
- • F5 — Analysis & AIVEX Scoring
- • F6 — Remediation & Hardening
- • F7 — Validation & Retest
AIVEX — 7 Risk Groups (38 metrics)
- • G1 — Prompt Robustness (direct, indirect, multi-turn)
- • G2 — Data Integrity (RAG, fine-tuning, memory)
- • G3 — Output Safety (hallucinations, toxicity, PII)
- • G4 — Access & Auth (rate limiting, model access)
- • G5 — Agent Security (tool calls, MCP, escalation)
- • G6 — Compliance Alignment (EU AI Act, NIST, ISO 42001)
- • G7 — Operational Resilience (degradation, monitoring)
Our Capabilities
6 Attack Technique Categories
We systematically probe AI systems across these adversarial categories following the APEX Methodology, combining automated fuzzing with manual operator expertise. All findings scored with AIVEX and mapped to MITRE ATLAS.
Prompt Injection
Direct and indirect prompt injection attacks to override system instructions, manipulate AI behavior, and achieve unauthorized outcomes. We test both simple injections and complex multi-turn manipulation chains.
Jailbreaking & Safety Bypass
Systematic attempts to circumvent safety guardrails, content filters, and ethical constraints. Includes role-playing attacks, encoding tricks, and multi-modal bypass techniques.
Data Exfiltration & Leakage
Extracting training data, system prompts, API keys, user data, and proprietary business logic from AI systems through conversational manipulation and side-channel techniques.
Plugin & Integration Exploitation
Testing AI agent tool-use capabilities for unauthorized actions — file system access, API abuse, database manipulation, and privilege escalation through connected services.
Model Manipulation & Poisoning
Evaluating model robustness against adversarial inputs, data poisoning vectors, backdoor triggers, and fine-tuning attacks that compromise model integrity.
Evasion & Detection Bypass
Crafting inputs that evade content moderation, toxicity detection, and safety classifiers while still achieving the adversarial objective. Testing the resilience of your defense layers.
AI Act Compliance
AI Red Teaming Packages
Purpose-built engagement packages to meet EU AI Act adversarial testing requirements. Each includes full APEX Methodology execution, AIVEX scoring, MITRE ATLAS mapping, and compliance documentation.
LLM Security Assessment
Baseline adversarial testing of a single LLM deployment. Covers the OWASP Top 10 for LLM Applications with AIVEX scoring for all findings.
- Single LLM / chatbot / AI assistant
- OWASP Top 10 LLM coverage
- Prompt injection and jailbreak testing
- System prompt extraction attempts
- AIVEX scored findings report
- Remediation guidance and re-testing
AI Act Compliance Red Team
Comprehensive adversarial assessment designed for EU AI Act Article 9 and Article 15 compliance. Covers all 6 attack technique categories with full MITRE ATLAS mapping.
- Multiple AI systems and agent workflows
- All 6 attack technique categories
- Full MITRE ATLAS technique mapping
- Plugin and integration exploitation
- AIVEX scoring + compliance documentation
- EU AI Act Articles 9 & 15 evidence package
- Executive briefing for board-level reporting
Continuous AI Security
Ongoing adversarial testing program for organizations with multiple AI systems. Quarterly red team exercises, continuous monitoring, and regulatory compliance tracking.
- All AI systems across the organization
- Quarterly red team exercises
- New model and deployment assessments
- Data poisoning and supply chain evaluation
- AIVEX trending and risk dashboards
- Regulatory compliance tracking (AI Act, NIS2)
- Dedicated AI security advisor
Secure Your AI Systems
Test your AI before attackers do.
Our AI red team will systematically probe your LLMs, agents, and ML systems for exploitable vulnerabilities — following the APEX Methodology, with AIVEX scoring and EU AI Act compliance documentation.
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