Securing Government AI Agents Before They Become the Incident

Federal, state, and local agencies now run agentic AI across citizen-facing chatbots, benefits and casework processing, procurement and grants automation, FOIA and records review, and internal knowledge agents for staff, but adoption is outpacing oversight: most agencies already pilot or run AI agents in production while confidence in secure, validated deployment lags far behind, and AI inventories stay incomplete.

PointGuard AI closes that gap with continuous adversarial testing mapped to OWASP and MITRE ATLAS, AI-native data leak prevention for sensitive and classified information, prompt injection defenses tuned to attacks hidden in documents and public records, and cryptographic agent identity with pre-execution action validation. Every control maps to NIST AI RMF and the CISA/NSA joint guidance on secure AI adoption, turning mandates into enforced policy. AI-accelerated vulnerability exploitation ranks as government's top agentic AI risk, ahead of data protection and unauthorized agent actions. PointGuard AI secures agentic deployments for federal, state, and local government agencies.
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Government Use Cases

Continuous Testing for Government AI Systems

Citizen chatbots, benefits agents, and procurement tools change every sprint while attackers publish new exploitation techniques within days, so a one-time authorization-to-operate assessment goes stale before the next release ships to production.

PointGuard AI runs automated, continuous adversarial testing that refreshes with every release, mapped to OWASP and MITRE ATLAS.

Protecting Sensitive Data in Casework Agents

Benefits and casework agents pull Social Security numbers, medical histories, and financial records into prompts and model responses that file-and-email DLP tools were never built to inspect, leaving regulated constituent data exposed.

Our AI-native DLP spans prompts and responses, detecting PII, PHI, and financial data at sub-100 ms latency.

Validating Government Agent Actions Before Execution

A caseworker agent authorized to check benefit status can chain that access into an unintended write, delete, or disbursement action in milliseconds, and static role-based permissions cannot anticipate every possible chain.

PointGuard AI validates every agent action against policy at sub-millisecond latency and contains rogue behavior with kill switches.

Blocking Prompt Injection in FOIA Documents

FOIA and records agents retrieve documents and scanned filings that can hide instructions invisible to reviewers, and the model executes them as trusted commands, overriding redaction rules or exposing unreleased case files.

PointGuard AI scans retrieved documents and tool outputs for injection patterns, blocking threats before they reach the model.

Discovering Every Shadow AI Agent Agency-Wide

Program offices and contractors stand up chatbots, copilots, and MCP-connected tools independently, outside the CIO's review, so agency AI inventories miss projects and security teams cannot assess risk they cannot see.

With PointGuard, multi-vector discovery spans clouds, repositories, and runtime telemetry, producing a deduplicated agent and asset registry.

Agent Identity and Access Governance Controls

Agents built for internal knowledge, procurement, and grants processing often inherit staff or shared credentials, so an agency cannot attribute an action to a specific agent, enforce least privilege, or revoke access.

PointGuard AI issues every agent a cryptographic DID and Ed25519 identity, enabling zero-trust authentication and instant revocation.

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