Stress-tested a healthcare copilot against prompt injection and unsafe clinical guidance.
Reduced exploitable jailbreak paths, hardened retrieval boundaries, and delivered an executive risk brief in 10 days.
SecureAI partners with ambitious teams building AI products, copilots, and agentic workflows. We combine adversarial testing, secure engineering, and governance that actually ships.
Reduced exploitable jailbreak paths, hardened retrieval boundaries, and delivered an executive risk brief in 10 days.
Introduced permission boundaries, tool-call guardrails, and traceable approval flows for high-risk actions.
Turned vague policy into release-ready controls, monitoring rules, and incident playbooks.
Set up recurring evaluations for model drift, tool abuse, data leakage, and policy regressions — so fixes stayed fixed.
Built for founders, product teams, CISOs, and enterprises shipping real AI.
Adversarial testing for jailbreaks, prompt injection, data exfiltration, unsafe outputs, and tool misuse.
Threat modeling, trust boundaries, auth patterns, sandboxing, approval design, and secure agent execution.
Practical policy, release gates, vendor review, model risk assessments, and evidence for buyers or regulators.
Recurring evaluation pipelines, regression checks, attack simulation, and reporting for fast-moving teams.
Typical turnaround for a rapid AI attack-surface review.
Findings translated into language your security, product, and compliance teams can act on.
Expert-led testing supported by repeatable evaluation systems, not vibes-only auditing.
We’re a security company focused on modern AI risk: prompt injection, model misuse, unsafe automations, data leakage, and governance gaps that slow teams down. Our job is simple — help you move fast without being reckless.
From first review to ongoing assurance, we help AI teams get sharper, safer, and easier to trust.