AI Red Teaming
For LLMs, agentic AI, chatbots and generative systems facing threats such as prompt injection, autonomy issues, model inversion, data poisoning, and integration abuse. Uncover hidden risks, ensure compliance, and strengthen your AI risk posture with red-team simulations, real-time threat intelligence, and standards-based assessments.
Security partner for Web3 builders & blockchain enterprises since 2017
2,161
public audits
16,654
found vulnerabilities
60+
certified security engineers
200+
ecosystem partners
Deploy AI products your clients can trust
Hacken’s full-stack AI audits uncover hidden risks, secure every layer of your system, and validate compliance with leading global standards.
- Prompt-injection stress tests (direct + indirect)
- Model inversion, data leakage, and knowledge contamination checks
- Explainability and transparency documentation review
- Multi-vector injections attack (HTML, logs, RAG poisoning)
- API exploitation, privilege escalation, context hijacking
- Custom TTPs mapped to MITRE ATLAS and OWASP for LLMs
- AI governance framework design and policy integration
- Roadmaps for EU AI Act, GDPR, HIPAA, CCPA, and SOC 2 readiness
- Bias / toxicity scoring, DPIAs, and data-flow impact mapping
- Model provenance validation and SBOM (Software Bill of Materials) checks
- Dependency, container and CI-CD pipeline hardening
- Threat analysis for edge devices and AI-specific hardware
- Agent delegation, autonomy limits, and inter-agent communication review
- Context-injection, privilege-escalation, and MCP-protocol exploitation tests
- Guidance for secure agent orchestration, context control, and protocol design
Why AI leaders choose Hacken
Innovation without security is a risk. Hacken lets you innovate with confidence.
Dedicated squad, not a ticket queue
Named auditors who speak your language, deep MLOps expertise, zero hands-off.
Transparent comms
Live updates through Portal and/or Slack, early “heads-up” reports, and post-fix re-tests.
Evidence-driven testing
Hands-on adversarial attacks, stress tests, and real metrics your board will understand.
Launch-safe turnaround
Time-boxed audits with priority-ranked fixes, so security never slips your release schedule.
Adaptive frameworks
Continuous mapping to EU AI Act, NIST AI RMF, HIPAA, SOC 2 and more.
Actionable skill-up
Live workshops for your devs & data scientists making fixes stick beyond the audit.
Our AI security auditing process
Refined since 2017, our proven audit methodology helps us deliver rigorous audits – on schedule, every time.
Plan
Scope, goals, Rules of Engagement, legal alignment.
Attack
Recon, vulnerability assessment, controlled exploitation.
Analyse
Business-impact mapping and risk scoring with severity tags.
Report
Clear, prioritised remediation steps with CWE reference.
Verify
Free re-test to confirm every patch is effective.
Key benefits of LLM security audit by Hacken
Detect data leaks and prompt-injection, and other flaws before attackers do.
Compliance gap map for EU AI Act, NIST AI RMF, GDPR, HIPAA, SOC 2.
Fuzzing + stress tests quantify how your model degrades under pressure.
“Secured by Hacken” badge to showcase your AI product’s resilience..
Concrete hardening steps for model, data, infrastructure, and supply chain.
Boost buyer confidence and shorten sales cycles.
Evidence binder for regulators & prospects.
Internal red-team playbook for recurring simulation.
Hear from our clients
Ready to ship secure AI?
Your customers expect trustworthy, compliant intelligence. Hacken makes sure you deliver it.
