"How secure is our AI?" Now you have an answer.
Humanbound discovers every AI agent in your environment, tests each one continuously for security vulnerabilities, and delivers a quantified posture score you can report to your board.
AI agents create risks your existing tools were not built for.
Networks, endpoints, and applications have mature security programs. AI agents do not. Three gaps are opening up.
You do not know what is running
A business unit ships a Copilot agent to 2,000 employees. Security finds out three months later. Your SIEM does not see these agents. Your CMDB does not track them. By the time security is involved, the agent is already handling customer data.
A launch-day pen test goes stale fast
Your model provider pushes a major update. The system prompt gets rewritten. A new data source is connected. Your six-month-old pen test report is now fiction, and the agent in production no longer matches what was assessed.
The board asks about AI risk and you have nothing to show
The next committee meeting is in two weeks. The board wants your AI risk posture. You report scores for infrastructure and compliance status for applications, but for AI there is no score, no framework, and no evidence to present.
Humanbound closes all three.
Each gap gets a direct answer. Discovery for visibility. Continuous testing for assurance. A quantified score for the board.
Discover every AI agent automatically
Humanbound scans your Azure, AWS, and GCP environments for AI services deployed without security review. Every agent gets classified, assigned an owner, and added to a governed inventory. Shadow AI becomes visible AI.
Continuous adversarial campaigns, not one-off reports
When models update, prompts change, or new data sources connect, testing adapts automatically. Prompt injection, jailbreaks, data exfiltration, and tool abuse are tested around the clock, not once a quarter.
A posture score your board can understand
Every agent gets a 0-100 score backed by evidence. Findings map to EU AI Act, NIST AI RMF, and OWASP LLM Top 10 controls. Export a compliance evidence package before your next committee meeting.
Not a dashboard you check once a month. Not a PDF that goes stale after launch day. Not a guardrail that blocks inputs without proving what gets through. A living security posture for your entire AI estate.
Find every AI agent. Then test each one.
Business units deploy AI services faster than security can review them. Humanbound scans your cloud environment, builds a governed inventory, then runs continuous adversarial testing against every agent it finds.
Build your AI inventory
Scan Azure, AWS, and GCP for AI services your teams deployed without security review. Each gets classified, scored, and tracked. 38 evidence signals across 15 SAI threat classes.
Test across every platform
Microsoft Copilot Studio, Salesforce Einstein, Azure OpenAI, AWS Bedrock, custom LLM agents, or any HTTP endpoint. If your agent has an API, Humanbound can test it. No SDK or agent modification required.
Test before launch. Protect at runtime. Monitor forever.
Not a one-time scan. An always-on security layer for your AI estate that adapts as your agents evolve.
Before deployment
Automated adversarial and behavioral testing under real-world conditions. OWASP-aligned attack scenarios covering the full threat surface your agents face in production.
- →Single-turn, multi-turn, and agentic attack chains
- →Independent, automated verdict on every agent response
- →Adaptive attacks that evolve to find what static tests miss
- →Behavioral validation against your defined agent scope
At runtime
The Humanbound Firewall sits between users and your AI agent, blocking prompt injections and policy violations before they reach the model. Gets smarter with every test you run.
- →Blocks malicious prompts before the agent sees them
- →Self-learning: improves from every adversarial test finding
- →Clear verdicts: Pass, Violation, or Off-Topic
- →Open-source (Apache-2.0) for full transparency
Post-deployment
Continuous assurance campaigns catch regressions and behavioral drift before users notice. Every score change flows into your existing security stack.
- →Catches regressions when models or configs change
- →Detects behavioral drift before it reaches production
- →Prioritizes testing where coverage gaps are widest
- →Delivers structured events to your SIEM in real time
Fits tools you already trust.
Every finding and score change flows into your existing stack. Every test maps to the frameworks auditors ask about.
SIEM & SOC
- ·Microsoft Sentinel: Native connector for Azure-first environments
- ·Splunk / QRadar / Elastic: Syslog, webhook, and API integrations
- ·CEF Formatted: Severity, agent ID, finding type, remediation context
- ·Data Sovereignty: Events processed and stored in your region
Compliance
- ·EU AI Act: High-risk AI system requirements
- ·NIST AI RMF: Risk management framework mapping
- ·OWASP LLM Top 10: Full coverage of all 10 categories
- ·SOC 2 / ISO 27001 / GDPR: Evidence packages for common audits
Your data, your rules.
SaaS, on-premises, or private cloud. Humanbound deploys wherever your security and compliance requirements demand.
Questions security leaders ask.
How is this different from a one-time pen test?
A pen test is a point-in-time engagement that produces a static report. Humanbound runs continuous, automated adversarial campaigns against your AI agents around the clock. When models update, prompts change, or new data sources are added, testing adapts automatically. You get a living posture score instead of a PDF that goes stale within weeks.
Does Humanbound work with our existing SIEM?
Yes. Every finding, score change, and policy violation is delivered as a structured CEF event to your SIEM. We have a native Microsoft Sentinel connector and support Syslog, webhook, and API integrations for Splunk, QRadar, Elastic, and any other SIEM. No separate dashboard required.
How long does deployment take?
Most deployments deliver a first posture score within two weeks. SaaS deployment requires no infrastructure changes on your side. For on-premises or private cloud deployments, timelines depend on your environment, but typical setup is under 30 days.
What compliance frameworks do you map to?
Every test finding maps to controls in the EU AI Act, NIST AI RMF, OWASP LLM Top 10, SOC 2, ISO 27001, and GDPR. You can export compliance evidence packages on demand for auditors, regulators, and board reporting.
Can Humanbound discover AI services we do not know about?
Yes. Our discovery engine scans your cloud environments (Azure, AWS, GCP) for evidence signals and classifies every discovered AI service against Shadow AI threat classes. This includes unregistered custom GPTs, browser-based AI tools, and agents deployed by business units without IT involvement. Each gets a posture score and enters your governed AI inventory.
Do you access our production data during testing?
Humanbound tests the behavior of your AI agents, not your underlying data. We send adversarial prompts and evaluate responses. We do not access, store, or process your production databases, customer records, or internal documents. All testing can run in your environment with full data sovereignty.
Your first posture score is two weeks away.
Book a 30-minute demo. We will map Humanbound to your AI environment and show you exactly what a posture assessment delivers.
Posture Score
0-100 quantified score for each agent
Findings Report
Severity-rated vulnerabilities with evidence
Remediation Roadmap
Prioritized fixes mapped to frameworks
No commitment required. First actionable findings in 14 days.