01
Agent & Harness Security
Map models, agent frameworks, orchestration layers, memory, planning workflows and the software controlling how agents interact with your environment.
Advanced Service · AI Security
Agentic AI Security Assessment
Test what your AI agents can actually access, decide and do.
AI agents can access business data, call APIs, execute tools, interact with applications and take actions across your environment. HackLabs tests the security controls surrounding those agents before an unexpected action becomes a security incident.
The Risk
AI agents create a new attack surface
ASD's Australian Cyber Security Centre has warned Australian organisations about risks arising when AI agents take unexpected or unauthorised actions. Traditional security controls still matter, but agentic systems introduce new trust boundaries, identities, permissions and execution paths.
Can your AI agent access more data or systems than it actually needs?
Can manipulated content or prompt injection influence the actions it takes?
Can it discover and follow an unintended path into production systems?
Can high-impact actions occur without effective human approval?
Can your security team see exactly what the agent accessed and changed?
Can you contain or disable the agent quickly when something goes wrong?
The Assessment
We test the complete environment around your AI agents
The assessment goes beyond the language model itself. HackLabs tests the identities, tools, permissions, connectors and infrastructure that allow an agent to take action inside your organisation.
02
MCP, Plugins & Connectors
Assess MCP servers, enterprise connectors, third-party plugins and APIs for excessive permissions, weak trust boundaries and exploitable integrations.
03
AI Identities & Credentials
Test service accounts, OAuth grants, API keys, machine identities and secrets for excessive privilege, credential exposure and escalation paths.
04
Misalignment & Adversarial Testing
Simulate blocked workflows, conflicting instructions, prompt injection, hostile content and unexpected conditions to observe whether agents attempt unintended actions.
05
Network & Data Boundaries
Validate segmentation, network egress controls, sensitive-data access and separation between AI agents and critical or production systems.
06
Human Approval & Guardrails
Determine whether high-impact actions genuinely require human authorisation and whether approval controls can be bypassed or circumvented.
07
Logging, Detection & Response
Assess whether agent actions are attributable and detectable, whether abnormal activity can be identified and whether the agent can be contained quickly.
08
Prioritised Remediation Roadmap
Receive technically validated findings, business impact and a prioritised remediation plan for reducing agentic AI exposure.
Australian Guidance
Aligned with ASD / ACSC security principles
The HackLabs assessment incorporates the core security principles identified in Australian Government guidance for managing AI-agent risk.
- Strong authentication and access controls
- Least privilege for human and machine identities
- Network segmentation and egress restrictions
- Monitoring and comprehensive audit logging
- Human oversight for consequential actions
- Rapid vulnerability remediation
- Incident-response testing for AI-enabled scenarios
This is not a compliance checklist.
HackLabs actively tests whether your controls work when an AI agent encounters conditions your developers, security team or business owners did not anticipate.
Deliverables
Clear evidence. Actionable findings.
Executive Assessment
Clear explanation of your organisation's agentic AI exposure and material business risks.
Validated Findings
Technical vulnerabilities and attack paths manually validated by HackLabs security practitioners.
Control Gap Analysis
Assessment against relevant agent, identity, network, monitoring and incident-response controls.
Remediation Roadmap
Prioritised technical and governance actions your teams can implement immediately.
Why HackLabs
Offensive security for the AI era
CREST AccreditedSenior offensive-security practitioners testing real attack paths, not automated questionnaire responses.
Agent + Enterprise SecurityWe test applications, APIs, cloud, identity, MCP, connectors, networks and data — not simply the underlying model.
No False PositivesFindings are manually validated before they reach your report.
Actionable ResultsExecutive reporting, technical evidence and remediation your security and engineering teams can act on.
100% Australian OwnedAustralian security practitioners with deep offensive-security and enterprise experience.
Secure your AI before it acts unexpectedly
If your organisation is deploying AI agents, copilots, autonomous workflows or MCP-connected systems, HackLabs can determine what they can actually access and do.
Australian Government reference:
ASD's ACSC — Risks of AI misalignment to Australian organisations