SaaS Providers Solutions
Discover, authorize, and govern every AI agent and integration running inside your multi-tenant SaaS platform.
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Discover, authorize, and govern every AI agent and integration running inside your multi-tenant SaaS platform.
SaaS providers are racing to embed copilots, agentic automation, and third-party LLM and MCP integrations into their products, from support assistants with account access to agents acting across shared, multi-tenant infrastructure. Each new AI feature adds attack surface: shadow agents, credentials shared across tenants, and data flows no traditional SaaS security tool was built to see.
PointGuard AI gives SaaS providers one platform to discover every agent, model, and MCP server across their product and tenant base, issue each agent a cryptographic identity, and validate every action pre-execution at sub-millisecond latency. AI-native DLP inspects prompts, responses, and tool calls for data crossing tenant boundaries, while continuous testing and posture hardening keep every release aligned with OWASP, SOC 2, and ISO 42001. With unknown AI agents and multi-tenant data leaks now the leading exposure for SaaS providers embedding AI into their products, PointGuard AI turns invisible agent sprawl into governed, auditable infrastructure.
Product teams stand up copilots, LLM integrations, and MCP servers inside multi-tenant environments without security review, so new AI connections in tenant workspaces never appear in any central inventory.
PointGuard AI runs multi-vector discovery across clouds, repos, and runtime telemetry, producing a unified, continuously updated agent registry.
Customer PII and account data flow through prompts, model responses, and MCP tool calls into third-party LLM providers, often crossing tenant boundaries that traditional file-and-email DLP tools cannot see.
PointGuard AI applies AI-native DLP across prompts, responses, and tool calls at sub-100 ms latency, blocking leaks natively.
Agentic automations that customers trigger inside the product can loop, drift, or invoke tools beyond their original authorization, surfacing only after they have already touched production data or fired irreversible calls.
With PointGuard, every agent action is validated against policy and trust score pre-execution, containing drifting agents automatically.
Third-party LLM and MCP connections often rely on static API keys or shared bearer tokens in code, so one leaked credential can expose every connected tenant's data with no attribution.
PointGuard AI issues short-lived OAuth 2.0 tokens per agent and brokers secrets through a vault, eliminating static keys.
Attackers embed hidden instructions inside emails, documents, or retrieved content that an AI copilot processes automatically, and the model executes them as trusted commands, exfiltrating account data through zero-click channels.
PointGuard AI scans all retrieved content and tool outputs for injection patterns before they ever reach the model.
SaaS vendors face mounting customer security questionnaires, SOC 2 and ISO audits, and emerging AI regulation, yet agent usage data sits scattered across engineering teams, making continuous compliance evidence impossible to produce.
Our unified dashboard maps AI inventory, posture, and compliance to SOC 2 and ISO 42001.
Explore our Use Case Library to see dozens of details examples of customer challenges, solutions, and deployment recommendations.
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Market leaders from Gartner have included PointGuard AI in multiple reports on the emerging AI security space.
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