Ducara delivers the complete AI security suite — audit, red teaming, LLM pentesting, cyber defence, deepfake forensics, and certified training — for enterprises navigating the agentic era.
To unite human and artificial intelligence to secure the future of AI.
At Ducara, we believe the most powerful defence is built on the convergence of human expertise and AI capability — working in harmony to protect the systems that shape tomorrow.
An end-to-end framework built for organizations deploying, operating, and defending AI systems — from governance and compliance to active adversarial simulation.
Organizations integrating AI often outpace their own governance. Ducara's AI Audit delivers a structured, end-to-end review of how your systems are designed, trained, and deployed — surfacing hidden operational, ethical, and regulatory risk before it compounds into liability.
Internal oversight structures, accountability mechanisms, and board-level AI governance mapped to ISO/IEC 42001, NIST AI RMF, and EU AI Act — identifying gaps and prescribing enforceable controls.
Deep inspection of data quality, lineage, traceability from ingestion to training — including class imbalance, label poisoning risks, PII exposure, and regulatory non-compliance in training datasets.
Evaluation of explainability methods, fairness metrics across demographic slices, accuracy validation, and monitoring for model drift and distribution shift under production conditions.
Testing for model extraction, membership inference, adversarial input robustness, and data poisoning — plus risk assessment of the third-party AI supply chain including open-source models and API dependencies.
Auditing incident response procedures, logging trails, and Human-in-the-Loop mechanisms — ensuring production AI behaves within defined safety boundaries with adequate monitoring and rollback capabilities.
Technical vulnerability research and adversarial testing of the LLM application layer. We simulate real-world exploits to ensure your AI integrations don't become a backdoor into your enterprise ecosystem. All assessments align to the OWASP Top 10 for LLM Applications (2025/2026).
Direct and indirect prompt injection — adversarial user inputs, system prompt extraction, and multi-turn manipulation to override model behaviour and safety constraints.
Extraction of memorized training data, PII, credentials, or proprietary information embedded in model weights — including membership inference and data reconstruction attacks.
Crafting inputs designed to exhaust model compute — sponge attacks, resource amplification, throughput degradation — testing availability SLAs under adversarial load.
Testing for unsanitized outputs reaching downstream systems — code execution, SQL injection via LLM output, and retrieval-augmented generation (RAG) knowledge base poisoning.
Assessment of third-party LLM plugins, tool integrations, and API boundaries — identifying over-privileged agent actions, insecure function calling, and vulnerable supply chain components.
| # | Vulnerability | Risk Level |
|---|---|---|
| LLM01 | Prompt Injection | CRITICAL |
| LLM02 | Insecure Output Handling | HIGH |
| LLM03 | Training Data Poisoning | CRITICAL |
| LLM04 | Model Denial of Service | HIGH |
| LLM05 | Supply Chain Vulnerabilities | HIGH |
| LLM06 | Sensitive Info Disclosure | CRITICAL |
| LLM07 | Insecure Plugin Design | MEDIUM |
| LLM08 | Excessive Agency | HIGH |
| LLM09 | Overreliance on LLM Output | MEDIUM |
| LLM10 | Model Theft / Extraction | HIGH |
While pentesting identifies technical bugs, Ducara's Red Teaming simulates a persistent, goal-oriented adversary. We move beyond the chat interface to test the entire operational lifecycle — targeting model logic, autonomous agency, and multi-agent orchestration.
Multi-session, goal-oriented campaigns designed to achieve specific breach objectives — credential theft, data exfiltration, privilege escalation — through sustained interaction with AI systems over time.
Testing autonomous AI agents with real-world tool access — simulating attacks on decision-making loops, task planners, and memory systems to induce harmful or unintended autonomous actions.
Targeting trust boundaries between AI agents — including agent impersonation, prompt relay attacks, and manipulation of inter-agent communication protocols in orchestrated AI pipelines.
All adversarial simulations classified against MITRE ATLAS™ tactics and techniques — providing standardized, defensible reporting that directly informs detection engineering and threat modelling programs.
Self-evolving, intelligence-driven defense architecture that transforms reactive monitoring into proactive threat neutralization. Built ground-up for AI-integrated environments — where traditional perimeter security fails.
ML models trained on enterprise telemetry to detect novel attack patterns — AI-generated malware, zero-day exploitation, and low-and-slow adversarial campaigns invisible to signature-based security tools.
End-to-end Zero Trust framework for AI-integrated environments — covering identity verification, micro-segmentation, continuous access evaluation, and least-privilege enforcement for AI agents and workflows.
Continuous ingestion and AI synthesis of threat intelligence feeds — contextualized to surface high-priority IoCs specific to your AI infrastructure, models, training pipelines, and supply chain.
AI-orchestrated SOAR playbooks that autonomously triage, contain, and remediate incidents — reducing MTTR and freeing analysts from alert fatigue to focus on high-value threat investigations.
A 27-second audio clip or a 90-second video call is enough to compromise millions in assets. Ducara provides the technical rigor required to authenticate digital media, protect your leadership, and defend your organization's financial and reputational integrity against synthetic media attacks.
Frame-level analysis identifying manipulation artifacts, facial geometry inconsistencies, unnatural blinking, lighting anomalies, and statistical fingerprints of GAN and diffusion-based generative models.
Detection of AI voice cloning through acoustic fingerprints, spectral waveform irregularities, prosody artifacts, and breath pattern anomalies — identifying TTS and voice conversion models with high accuracy.
Pixel-level anomaly analysis (ELA), metadata inconsistency detection, and generative model trace analysis to authenticate images, scanned documents, and AI-generated visual content.
Full investigative support for synthetic identity fraud, deepfake-enabled financial scams, CEO impersonation, and forensic examination of manipulated digital evidence in legal and compliance proceedings.
C2PA provenance verification and cryptographic content attestation — determining with high confidence whether digital content has been artificially generated, altered, or tampered with at the signal level.
Human error remains the leading cause of security breaches — in an AI-powered world, that extends to AI misuse, prompt injection attacks, deepfake social engineering, and unsafe tool adoption. Our programs combine role-based curricula, hands-on labs, and globally recognized certification preparation.
Programs tailored for technical teams, leadership, and governance stakeholders — delivered as instructor-led workshops, virtual labs, or custom on-site engagements.
Foundational training for all staff on AI-specific threats, prompt injection risks, deepfake recognition, and responsible AI tool adoption.
Technical deep-dive for developers and ML engineers — OWASP LLM Top 10, RAG security, safe agentic system design, and secure API integration.
Strategic curriculum for executives — regulatory compliance, AI risk frameworks, accountability structures, and board-level AI oversight.
Awareness and detection training — voice cloning, AI-generated impersonation, and verification protocols for high-value communications.
Hands-on offensive AI security training — teaching security professionals to think like adversaries targeting LLMs, agentic systems, and multi-agent pipelines.
Training for ML engineers and DevOps teams on integrating security into the AI development lifecycle — from model versioning and dataset integrity to CI/CD pipeline hardening for AI workloads.
We don't just deliver a report — we deliver a transformation. Align your AI innovation roadmap with enterprise-grade security assurance. Our specialists are ready to assess your AI security posture.
By submitting, you agree to our Privacy Policy and Terms of Service. We never share your information with third parties.
Thank you for reaching out. A Ducara AI security specialist will contact you within 48 business hours to discuss your requirements.