AI Security Posture Management

Discover every AI model, agent, and LLM application in your environment. Detect prompt injection, PII leakage, and insecure agent workflows — and keep your AI stack compliant with the OWASP Top 10 for LLMs.

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Platform Capabilities

Complete Security for Your AI Stack

Everything you need to discover, assess, and harden the AI models, agents, and LLM applications running in your organization

Detection

AI Workflow & LLM Application Scanning

Static and runtime analysis of your AI agent workflows and LLM applications. Detect prompt injection, PII leakage, harmful content generation, and insecure tool configurations — every finding mapped to the OWASP Top 10 for LLMs (LLM01–LLM10).

  • Prompt injection and jailbreak vulnerability detection
  • PII leakage and harmful content generation testing
  • Insecure agent tool and permission configuration analysis
OpenAI AgentsCrewAILangGraphAutogenn8nLangChain
By the numbers
LLM01–10
OWASP Top 10 for LLMs coverage
6+
AI agent frameworks supported
24/7
Continuous AI posture monitoring
All systems operational
Remediation

Automated Prompt Hardening

When TigerGate detects a weak or injectable system prompt, it automatically generates a hardened replacement — with explicit role boundaries, injection-resistant framing, and output constraints — ready for developers to adopt directly.

  • Hardened system prompts generated for every weak prompt found
  • Injection-resistant framing and output constraints built in
  • Delivered alongside findings — no manual prompt rewriting
Compliance

AI Governance & Compliance

Map AI security findings to emerging AI governance frameworks and established standards. Prove responsible AI practices with audit-ready evidence covering model usage, data handling, and agent permissions.

OWASP LLM Top 10NIST AI RMFEU AI ActISO/IEC 42001SOC 2

How It Works

Get complete visibility into your AI security posture in three simple steps

1

Discover Your AI Assets

Connect your repositories and cloud accounts to automatically inventory every AI model, agent, LLM application, and AI service in use — including shadow AI your teams adopted without approval.

2

Assess AI Risks

TigerGate scans agent workflows and LLM applications for prompt injection, PII leakage, harmful content generation, and insecure tool permissions — mapped to the OWASP Top 10 for LLMs.

3

Harden & Govern

Adopt auto-generated hardened prompts, fix insecure agent configurations, and collect audit-ready evidence for AI governance frameworks like NIST AI RMF and the EU AI Act.

Why TigerGate

Ship AI Features Without Shipping AI Risk

Real results from organizations securing their AI stack with TigerGate AI-SPM

Stop Prompt Injection Before Production

Catch injectable prompts, jailbreak vectors, and unsafe agent tool access in the repository — before attackers find them in production.

Static analysis of prompts, agents, and tool configsRuntime testing for injection and jailbreaksAuto-generated hardened replacement promptsFindings mapped to OWASP LLM01–LLM10

Eliminate Shadow AI

Discover every AI model, agent, and LLM integration in your codebase and cloud — including the ones nobody told security about.

Automatic AI asset inventory across repos and cloudsDetection of unapproved AI services and API usageAI framework fingerprinting (OpenAI Agents, CrewAI, LangGraph, more)Ownership mapping for every AI workload

Protect Sensitive Data in AI Pipelines

Prevent your models and agents from leaking PII, secrets, or proprietary data through prompts, tools, and outputs.

PII leakage detection in prompts and responsesSecrets exposure checks in agent tool configurationsHarmful content generation testingTraining data exposure analysis

Prove Responsible AI Governance

Collect audit-ready evidence for AI governance frameworks automatically — without spreadsheet-driven assessments.

OWASP Top 10 for LLMs control mappingNIST AI RMF and EU AI Act readiness evidenceISO/IEC 42001 AI management supportContinuous posture reporting for auditors

Works With Your AI Stack

Native support for the frameworks, model providers, and tools your teams already use

AI Agent Frameworks

  • OpenAI Agents SDK
  • CrewAI
  • LangGraph & LangChain
  • Autogen
  • n8n Workflows

Governance Frameworks

  • OWASP Top 10 for LLMs
  • NIST AI RMF
  • EU AI Act
  • ISO/IEC 42001
  • SOC 2 & ISO 27001

Repositories & Tools

  • GitHub, GitLab & Bitbucket
  • OpenAI & Anthropic APIs
  • Jira & ServiceNow
  • Slack & Microsoft Teams
  • Splunk & Datadog

Frequently Asked Questions

Everything you need to know about TigerGate AI-SPM

AI-SPM secures the AI systems your organization builds and uses. TigerGate discovers every AI model, agent, and LLM application across your repositories and cloud accounts, then scans them for security vulnerabilities — prompt injection, PII leakage, harmful content generation, and insecure agent tool configurations — with every finding mapped to the OWASP Top 10 for LLMs. It continuously tracks your AI security posture over time so new AI deployments never become blind spots.
TigerGate integrates with agentic-radar to analyze OpenAI Agents, CrewAI, LangGraph, Autogen, and n8n workflows. It clones your repository (GitHub, GitLab, or Bitbucket), performs static analysis of agent definitions, tool configurations, and prompt templates, then maps findings to LLM01–LLM10 from the OWASP Top 10 for LLMs. Pattern-based analysis is available as a fallback when agentic-radar is not present.
After detecting prompt injection vulnerabilities or weak system prompts, TigerGate automatically generates hardened replacement prompts. These include explicit role boundaries, injection-resistant framing, and output constraints. The hardened prompts are delivered alongside the finding so developers can adopt them directly without manual rewriting.
AI applications are only as secure as the infrastructure hosting them. TigerGate correlates AI code findings with the cloud posture of the accounts running those workloads — for example, flagging an overly permissive IAM role that an LLM agent could abuse, or an S3 bucket storing training data that is publicly readable. This code-to-cloud correlation is unique to TigerGate.
Cloud posture monitoring is fully agentless — connect your AWS, GCP, Azure, Oracle Cloud, or Kubernetes credentials (read-only) and scanning begins in under 5 minutes with no code changes. AI application scanning requires a repository connection (GitHub, GitLab, or Bitbucket token); TigerGate clones the repo, scans, then deletes the local copy.
TigerGate AI-SPM maps findings to 14+ frameworks including SOC 2 Type II, ISO 27001, PCI-DSS v4.0, HIPAA, and GDPR, with audit-ready evidence collection and scheduled compliance reports. A 14-day free trial is available with no credit card required and no usage limits on cloud accounts or repository connections during the trial period.

Ready to Secure Your AI Stack?

Find every AI risk in your agents, prompts, and models. Start your free 14-day trial today — no credit card required.

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