Red-team and prove every AI agent before it ships.
Glacien AgentShield tests enterprise AI agents against prompt injection, jailbreaks, data leakage, tool misuse, RAG poisoning, and approval bypass — and produces the evidence risk, audit, and compliance need to clear production.
What is AgentShield?
AI security testing for enterprise agents. Real attack patterns, real business misuse scenarios, real regulatory risk — tested before the agent reaches your customers, employees, or examiners.
Can it be tricked by prompt injection?
We run the InjecAgent battery plus targeted scenarios on your prompts, system instructions, and retrieval pipeline — and we tighten guardrails until they hold.
Can a user extract sensitive data?
Leakage scenarios test PII exposure, cross-user data access, regulated-content disclosure, and confidential document extraction.
Can the agent call the wrong tool?
Tool-misuse testing exercises permissions, time-of-day controls, prerequisite checks, and unauthorised workflow execution paths.
Can poisoned content steer it?
RAG poisoning scenarios test whether malicious or misleading documents in the retrieval corpus can alter responses or trigger unsafe actions.
Can it bypass human approval?
Approval-bypass testing validates that sensitive actions actually require the right approvers, not just nominally.
Do we have evidence for risk & audit?
Every test scenario, control mapping, finding, remediation, and re-test produces structured evidence ready for risk, audit, and compliance review.
App-sec testing was not designed for AI agents. AI agents need their own.
New attack surface
Prompts. Retrieval pipelines. Tool calls. Memory writes. Multi-agent flows. Each is a vector. None of them existed for SAST, DAST, or pen-test playbooks.
Risk teams cannot accept the unknown
“Can the agent be tricked?” is not an opinion. It needs structured testing, evidence, and a remediation plan — before risk approves production.
Production today, headline tomorrow
88% of organisations report an AI agent incident in the past year. The first time a finding becomes visible to a regulator, an auditor, or a journalist — it is too late.
AgentShield exists so risk, security, and engineering can put AI agents into production with the same confidence they put applications into production today.
Test for real attacks. Harden the agent. Produce examiner-grade evidence.
When risk, compliance, or the board asks “is this safe enough to ship,” AgentShield is the answer.
Test against real attacks.
Prompt injection (InjecAgent), jailbreaks, tool misuse, data leakage, RAG poisoning (MINJA), identity bypass, HITL bypass, guardrail effectiveness — all run against your agent.
Harden the agent.
Findings come with mitigation recommendations, Bedrock Guardrails tuning, prompt and retrieval hardening, policy controls, and approval-workflow design. Re-tested until they hold.
Produce defensible evidence.
Structured findings, test scenarios, control mapping, remediation status, and production-readiness evidence — for risk, audit, compliance, and regulator engagement.
Eight test families. One coverage report.
Each family is a discrete battery with hundreds of scenarios drawn from industry-standard frameworks. Coverage and findings appear in one structured report.
Prompt injection
Tests whether malicious instructions can override system prompts, business rules, retrieval constraints, or policy boundaries.
Jailbreak
Evaluates whether users can bypass restrictions, force unsafe outputs, or manipulate the agent into unauthorised behaviour.
Tool misuse
Checks whether the agent can call the wrong tool, at the wrong time, with excessive permissions, or execute unintended workflows.
Data leakage
Tests whether the agent exposes confidential, personal, regulated, or cross-user information across query patterns.
RAG poisoning
Assesses whether malicious or misleading documents in the retrieval corpus can influence responses or workflow decisions.
Identity & permissions
Validates that user identity, access controls, authorisation boundaries, and system permissions are actually enforced.
HITL bypass
Tests whether sensitive actions truly require the right approvals, escalations, and review points — or whether they can be skipped.
Guardrail effectiveness
Validates content filters, sensitive-information controls, grounding checks, and policy checks are working as expected.
A red-team report your risk team can act on.
Structured findings, mitigation, re-test, and evidence for production approval. Not a PDF with vague warnings.
Six typical AgentShield engagements.
Most enterprises engage AgentShield ahead of a specific production milestone — a launch, a regulator review, or a customer-facing pilot.
Test a new enterprise agent before release to employees, customers, or partners. Findings + remediation + re-test before sign-off.
Validate that customer-facing agents handle sensitive information, complaints, escalation, and compliance scenarios safely under attack.
Check whether internal knowledge agents expose restricted documents, confidential policy content, or cross-tenant answers.
Test agents connected to ticketing, CRM, finance, HR, or operational workflows for unintended writes, escalations, and approvals.
Create risk evidence for banking, insurance, healthcare, government, and other regulated organisations — examiner-defensible.
Recurring red-team testing as prompts, models, knowledge sources, tools, and business workflows change — risk-controlled by design.
AWS-native. Tested in your account.
AgentShield extends Bedrock Guardrails, AgentCore Identity, and AgentCore Policy. Tests run inside your AWS environment. Evidence is signed and stays in your control.
Bedrock Guardrails
Content filters, sensitive-information masking, contextual grounding checks, and Automated Reasoning policy validation — tuned against findings.
AgentCore Identity & Policy
Per-agent OAuth, on-behalf-of authentication, NHI governance, and Cedar policy enforcement validated against tool-misuse and bypass scenarios.
Observability & evidence
AgentCore Observability, CloudWatch, CloudTrail, and S3 capture the trace of every test scenario — reproducible, signed evidence ready for audit.
Security operations
AWS Security Hub, IAM Access Analyzer, Amazon Macie — findings published into your SOC workflow for ongoing assurance.
Four ways to engage AgentShield.
From a pre-launch security review to recurring quarterly assurance for organisations running multiple production agents.
Agent security assessment
- Agent architecture review
- Prompt & guardrail review
- Retrieval & RAG risk review
- Tool & API control testing
- Identity & permission review
- Risk findings + mitigation plan
Red-team engagement
- Full attack-family battery
- Data-leakage scenarios
- Tool misuse & RAG poisoning
- HITL bypass testing
- Executive risk summary
Governance & evidence
- Guardrail design
- Policy & control mapping
- Evidence logging model
- Approval workflow design
- Compliance reporting dashboard
Quarterly AI assurance
- Recurring security testing
- Control-effectiveness review
- New attack-scenario testing
- Guardrail tuning
- Executive assurance report
Procurement via AWS Marketplace — Private Offers and Channel Partner Private Offers supported. Existing AWS commit (EDP) applies.
We red-team AI agents so risk teams can sign off.
Glacien builds, governs, operates, and tests AI agents for regulated enterprises. AgentShield is the security assurance step that turns “we built an agent” into “we built an agent risk has cleared, audit has signed, and the regulator has seen.”
AWS Select Partner with Agentic AI specialisation. Singapore-headquartered with onshore leadership and offshore engineering across India. We do not advise. We build, test, govern, and stand behind what we deliver.
Agentic AI, tested.
Ready to prove your agents are
safe enough to ship?
Book a 30-minute walkthrough. We will show a live red-team run against a reference agent, share the structured report risk teams use to sign off, and scope a security assessment for your highest-risk production candidate. No slides that waste your time.