Secure the AI serving the public.
Citizen-service chatbots, benefits and eligibility systems, and agents acting on government data demand the highest bar for safety, security, and accountability. SecuraAI discovers, tests, and governs public-sector AI to meet it.
In government, AI must be accountable by default.
Agencies are deploying AI into citizen services, benefits adjudication, case management, and internal operations. These systems handle sensitive citizen data and make decisions that affect rights, benefits, and trust in government.
Public-sector AI carries unique obligations: transparency, due process, equity, and security against sophisticated, persistent adversaries. A biased eligibility model, a chatbot that misstates entitlements, or an agent exposed to injection becomes a public-accountability and oversight matter.
Securing government AI means proving — with documented evidence — that systems are safe, equitable, controllable, and resilient against a capable adversary.
Where public-sector AI breaks.
The failure modes that matter when AI serves citizens.
Sensitive citizen-data exposure
Agents and RAG over citizen records can be steered into disclosing PII or case data to the wrong party.
Inequitable or wrong determinations
Eligibility and adjudication models that err or perform unevenly create due-process and equity failures.
Prompt injection & manipulation
Citizen-supplied content and documents are attacker-controllable inputs an agent may treat as instructions.
Sophisticated adversaries
Public systems face capable, persistent attackers probing models and agents for footholds.
Over-privileged agents
Agents granted broad, standing access to government systems carry an outsized blast radius.
Shadow & unsanctioned AI
Staff use of unapproved AI tools with sensitive data is a large, low-visibility exposure.
How SecuraAI secures public-sector AI.
Inventory every citizen-facing and internal AI — including shadow AI — and risk-tier by data sensitivity and decision impact.
- Find sanctioned and shadow AI
- Risk-tier by sensitivity and rights impact
- Continuous governance across agencies
Probe citizen-service and operational agents for injection, data exfiltration, tool abuse, and goal hijack — at a high threat bar.
- Direct & indirect prompt injection
- Data-exfiltration and tool-abuse paths
- Blast-radius testing for connected agents
Multi-turn adversarial testing for citizen-service chatbots and voice agents — catching misinformation, unsafe guidance, and jailbreaks.
- Probe for misinformation & unsafe guidance
- Jailbreak & manipulation resistance
- Disclosure & data-leak testing
Statically scan model artifacts for unsafe serialization, malicious loaders, and supply-chain risk before deployment.
- Detect unsafe serialization & loaders
- Surface supply-chain risk in model files
- Gate models before production
Mapped to the rules government answers to.
Findings structured as documented evidence for public-sector frameworks and oversight.
Prove your public-sector AI is safe and accountable.
Start with a free risk assessment. We'll probe a live system and show you exactly where data and decisions are exposed.