EresusSecurity

AI & LLM Security Testing in Singapore

Test the full AI workflow: user input, retrieval, model, tools, downstream identity, and returned data. We validate security boundaries with controlled scenarios and give your team findings it can reproduce.

Free Scoping Call

Singapore Threat Intelligence

Southeast Asia's financial and tech center. MAS Technology Risk Management Guidelines and Personal Data Protection Act drive cybersecurity investments.

Technology Ecosystem

APAC fintech hub, MAS-regulated financial sector, Southeast Asia's cloud infrastructure gateway.

The AI and LLM integration risks we see in AI & LLM Security engagements around Singapore:

Threat 01

Cross-border payment API exploitation

Threat 02

Cloud-native application container vulnerabilities

Threat 03

Supply-chain attacks on regional SaaS platforms

Threat 04

Cryptocurrency exchange smart contract exploits

Regional Regulations

MAS-TRMPDPAISO 27001PCI-DSS

Key Industries

FinanceTechnologyLogisticsCryptocurrency

Test the system around the model

A secure prompt alone does not enforce access control. We assess the application and connected services that determine what an AI feature can retrieve, invoke, and disclose.

  • Prompt injection paths through user content, documents, and retrieved sources
  • Tenant and user authorization for retrieval, memory, and generated answers
  • Tool and MCP permissions, approval boundaries, and high-impact actions
  • Secrets, sensitive output, logging, and data retention across the AI workflow

Agent identity and tool-call testing

For agents that use connectors or service accounts, we trace the effective identity at each hop. Testing checks whether the destination independently enforces the original caller’s permissions and whether read or write tools exceed their intended scope.

  • Map caller, agent, connector, service identity, and destination API
  • Use synthetic records to verify cross-user and cross-tenant denial
  • Check that consequential actions require the intended approval
  • Confirm logs capture the caller, execution identity, target, decision, and result

Singapore delivery for AI products

We scope against the deployed product, its data flows, model providers, and integrations. Where useful, technical findings can support internal risk and control mapping for Singapore operations; the assessment does not represent regulatory approval.

  • Start with architecture, data classification, and authorized test accounts
  • Test staging or isolated tenants first and agree production safeguards
  • Prioritize fixes by demonstrated access and business impact
  • Retest the specific boundary that failed after remediation

Proof-Driven Methodology

Discovery

Attack surface mapping & asset enumeration

Analysis

Penetration testing beyond automated scanners

Exploit & Proof

PoC validation for every finding

Report & Retest

Remediation code + free retest

Frequently Asked Questions

How long does the AI & LLM Security process take?

Typically 1-4 weeks depending on scope and infrastructure complexity. We provide a firm timeline after discovery.

What do the deliverables look like?

Each finding includes exploit proof (PoC), business impact score, and developer-friendly remediation code — plus an executive summary.

Can the report support internal review or audit preparation?

Yes. Our reports are prepared as technical evidence packages and remediation records that can support internal review and audit-readiness workflows.

Why Eresus Security?

Proof-Driven Reporting

Every finding is validated with a real exploit. No scanner noise — only proven risks.

Offensive Security Expertise

Specialized team in AI security, API pentesting, Red Team operations, and cloud security review.

Retest Support

Fixes are revalidated within the agreed engagement scope. Remediation guidance and developer-friendly notes are included.

Evidence-Ready Deliverables

Report format designed to support internal review, remediation tracking, and evidence-oriented workflows.

Validate Your Security Posture

Don't rely on scanner outputs. We execute the same techniques real attackers use — in a controlled environment, for you.

Get a Quote