Vijil Evaluate — agentic threat model

Not certain from the listing — The agent likely relies on underlying foundation models to interpret complex policies and generate diverse test prompts. These models are susceptible to prompt injection or adversarial manipulation, which could lead to biased or incomplete test coverage.

Not certain from the listing — The agent ingests policies, regulations, and agent instructions to build test plans. If these input sources are poisoned or manipulated, the agent could generate flawed test suites, failing to detect critical vulnerabilities in the target systems.

The orchestration framework manages parallelized execution and test plan generation. Vulnerabilities here could allow an attacker to manipulate the test execution logic, leading to false positives/negatives or unauthorized probing of arbitrary endpoints.

Not certain from the listing — The infrastructure must support high-throughput parallel execution to saturate endpoints. If not properly sandboxed, this capability could be abused to launch distributed denial-of-service (DDoS) attacks against external targets.

As an evaluation agent, its core risk is evaluation gaming or evasion. If a target agent can detect Vijil's test patterns, it might alter its behavior to pass the audit artificially, undermining the validity of the Vijil Trust Score.

The agent generates compliance reports for major regulations (GDPR, EU AI Act). However, the security of the sensitive policy data and test results it stores is critical; unauthorized access to these reports would expose the target agent's known vulnerabilities.

This agent is built specifically to interact with other agents. A compromised Vijil Evaluate agent could abuse this trust relationship to conduct unauthorized vulnerability scanning, data harvesting, or adversarial probing of client agents.