[AGENTIC RED TEAMING]

Think like an attacker. Test every boundary. We combine agent-driven exploration with human judgment to find exploitable paths through AI systems, applications, and cloud infrastructure.

SCOPE AN ENGAGEMENT
[ACCESS / 001]DRAG OR USE ARROW KEYS ↔

SCROLL[↓]

MISSION INDEX[+]

EXPLORE[↓]

[APPROACH]

TRAVERSAL SEC brings an adversarial lens to agentic systems. We follow the path from exposed surface to demonstrated impact, with human operators setting scope and reviewing the evidence.

  • MAP THE SURFACE

  • TEST THE BOUNDARY

  • PROVE THE PATH

Our

operating

mode

ADVERSARIAL

Every

finding

needs

EVIDENCE

  • Chain weaknesses across applications, identities, and cloud controls to test where an attacker can actually go.

    • ATTACK SURFACE RECON
    • EXPLOIT CHAIN VALIDATION
    • IDENTITY & CLOUD ESCALATION

    RED TEAMING

  • Pressure-test the boundaries between models, tools, memory, and the systems an agent can reach.

    • PROMPT INJECTION TESTING
    • TOOL & PERMISSION ABUSE
    • DATA EXPOSURE PATHS

    AGENT SECURITY

  • Turn a suspected weakness into evidence your defenders can reproduce, investigate, and retest.

    • REPRODUCIBLE ATTACK TRACES
    • DETECTION GAP ANALYSIS
    • REMEDIATION & RETESTING

    VALIDATION

[ILLUSTRATIVE SCENARIOS]

A few paths worth testing. Each scenario follows a different trust boundary—from an agent's tool call to a cloud identity pivot—and asks what an attacker could actually reach.

(01)

An untrusted document crosses an agent's trust boundary toward a privileged tool.

Prompt to Privilege

AI AGENTS / TOOL ACCESS

(02)

A service identity connects to role assumptions and a protected cloud resource.

Identity Pivot

CLOUD / IAM

(03)

Two tenant scopes are separated by an API authorization boundary.

Broken Boundary

APIs / AUTHORIZATION

(04)

A retrieved document enters an agent's context alongside trusted instructions.

Context Poisoning

RAG / RETRIEVAL

(05)

An attack sequence is linked to telemetry, a finding, and a remediation retest.

Signal to Evidence

DETECTION / REPLAY

[OPERATING MODEL]

Agents explore. Humans direct. Recon, adversarial testing, and evidence review work toward one objective: a finding that can be reproduced and fixed.

  • Human operator

    Mission Control

    Defines the objective, sets the boundaries, and approves consequential steps.

    /001

  • Recon agent

    Surface Mapper

    Maps reachable assets, exposed interfaces, and the identities that connect them.

    /002

  • Adversarial agent

    Boundary Breaker

    Probes prompt, tool, and access-control boundaries against the agreed objective.

    /003

  • Validation agent

    Chain Runner

    Tests whether individual weaknesses form a repeatable path to impact.

    /004

  • Evidence analyst

    Trace Keeper

    Links every finding to its inputs, actions, responses, and observed outcome.

    /005

  • Defender + operator

    Close the Loop

    Replays the scenario after a fix and checks whether detection and prevention hold.

    /006