Prompt injection
Simulate direct and indirect prompt attacks that can override agent intent and control flow.
Agentic AI Pentests
Security testing for agentic AI in real systems
We assess production agent systems for attack paths that classic pentests often miss, including tool access, prompt layers, and privilege boundaries.
Built for production
Focused on real risks in workflows with APIs, internal data sources, and autonomous actions.
Why this matters
Agentic systems expand your attack surface
Once AI can execute tools, retrieve internal data, or trigger actions, you inherit security risks that go beyond standard web and API testing.
Security must evaluate model behavior, prompt-layer controls, tool limits, and permission boundaries together.
Common gap
Security checks limited to infrastructure only
Our focus
Attacks across the full agent execution chain
System view
We test the complete attack path
From user input to prompt orchestration, tool invocation, and output handling, we identify both technical and logic-level weaknesses.
- Abuse of tool permissions
- Prompt injection through external content
- Data exfiltration via weak context boundaries
Risk classes tested
What we test in practice
Tool misuse
Assess whether agents can execute sensitive actions beyond intended constraints.
Privilege escalation
Test for unintended access expansion across roles, sessions, and chained integrations.
Containment and guardrails
Evaluate safeguards, fallback behavior, and control points that limit blast radius.
Assessment process
Structured from threat model to hardening
A clear workflow with prioritized findings and actionable mitigation guidance for your team.
- 1
Scope and system mapping
Define critical agent paths, tools, and data-access flows in the real production context.
- 2
Threat modeling
Identify relevant attack vectors across prompt, tool, and integration layers.
- 3
Adversarial testing
Run targeted attacks against agent behavior, decision logic, and execution boundaries.
- 4
Findings and prioritization
Document each issue with severity, reproduction path, and business impact.
- 5
Hardening and re-test
Support remediation and verify the highest-risk issues with follow-up testing.
Secure your agentic AI with focused testing
If your system is already live or close to rollout, we can assess the risks that matter most.