AI Security Assessment & Red-Teaming
Attack your AI before someone else does.
What is AI Security Assessment & Red-Teaming?
AI systems open a new attack surface that traditional security testing wasn't built for: prompt injection, data exfiltration through the model, jailbreaks, and abuse of connected tools and agents. Deploying AI without testing it adversarially is a gamble — and a red-teaming exercise before launch is far cheaper than an incident after. We attack your AI the way a real adversary would, across those AI-specific classes, then hand you a prioritised hardening plan and retest — so you can deploy AI with confidence rather than hope.
Services provided
What the data says
AI systems have a new attack surface — prompt injection, data exfiltration, jailbreaks, tool abuse.
Traditional pen-testing doesn't cover AI-specific attacks; specialist red-teaming does.
Red-teaming before launch is far cheaper than an incident after.
Where Ganexa stands out
AI-specific attack techniques, not generic pen-testing.
Findings paired with a concrete, prioritised hardening plan.
Prioritised by real-world exploitability, not theoretical risk.
We retest to verify the fixes actually closed the gap.
Grounded in how AI systems are really built and abused.
Your engagement roadmap
Discover
1–2 weeksScope the AI systems, data and threat model.
Threat model
Design
2–3 weeksRun adversarial testing across the AI-specific attack classes.
Findings
Build & pilot
3–6 weeksPrioritise and design hardening measures with your team.
Hardening plan
Scale & embed
OngoingRetest and establish ongoing assurance.
Assured deployment
Built for where you are
AI product team
“We're about to ship an AI agent with tool access and we honestly don't know if it's exploitable.”
We red-teamed it across prompt injection, data exfiltration and tool-abuse scenarios, then gave them a prioritised hardening plan and retested.
Injection and exfiltration risks found and closed before launch — deployed with confidence instead of crossed fingers.
Enterprise adopting a copilot
“Security is worried the AI assistant could be tricked into leaking internal data.”
We tested the assistant against data-exfiltration and jailbreak techniques and hardened the guardrails and permissions.
Demonstrated and closed the leakage paths, satisfying security to approve rollout.
Fintech
“Regulators and customers expect us to prove our AI is secure, and we have no evidence.”
We ran a structured AI security assessment producing findings, a hardening plan and retest evidence.
Documented assurance they could show regulators and customers.
What you walk away with
Adversarial test findings
A report of the AI-specific vulnerabilities found through red-teaming, with severity and exploitability.
Prioritised hardening plan
Concrete, prioritised remediation steps to close the gaps.
Retest & verification
A follow-up test verifying the fixes actually resolved the findings.
Ongoing AI-security guidance
Guidance to keep the AI secure as it and the threat landscape evolve.
Ready to put AI Security Assessment & Red-Teaming to work?
Book a free 30-minute discovery call — you'll leave with a clear, costed next step, no obligation. Or ask us anything: we reply within one business day.