Attack · Test · Validate
SecEng Attack
Test the AI abuse paths normal AppSec misses - then chain what matters.
Reproduce failures across prompts, retrieval, tools, agents, authorization, data boundaries, workflows, and AI code, then use Attack Path Chaining (APC) to determine which findings form meaningful multi-step attack paths.
SecEng Attack separates theoretical exposure from reproducible security failure. We validate abuse paths, capture evidence, and turn confirmed findings into replayable test cases. Where multiple findings combine into something larger, APC builds an evidence-grounded core, independently challenges the chain, models clearly labeled precedent-backed extensions where appropriate, and identifies the controls that break the most paths.
APC at a glance
From isolated findings to defensible attack chains.
Most security reports stop at individual findings. APC asks the harder question: which findings can actually combine into a meaningful adversary path?
Grounded core
Build only from target-, environment-, or system-specific evidence: findings, CVEs, exposed credentials, runtime evidence, code paths, authority relationships, and other supported security intelligence.
Precedent-backed extensions
Where direct evidence ends, model clearly labeled earlier or later TTP hypotheses using supported real-world adversary sequencing. Inference never becomes a grounded finding.
Independent validation
Separate validators challenge evidence grounding, ATT&CK mapping, sequence plausibility, and unsupported assumptions before the chain advances.
Capabilities
Four lenses. One attack picture.
No single test tells the whole story. Static code paths, adversarial behavior, delegated authority, and multi-step attack chaining answer different security questions. SecEng Attack combines those signals without pretending they are the same thing.
Code-derived attack paths
Find AI-specific source-to-sink paths involving prompts, retrieval, model calls, agents, MCP, tools, sensitive data, and downstream actions.
Adversarial reproduction
Validate direct and indirect prompt injection, retrieval abuse, jailbreaks, tenant leakage, unsafe tool use, policy bypass, multimodal abuse, and workflow manipulation with replayable evidence.
Authority abuse
Test whether agent permissions, credentials, tool combinations, approval gaps, and delegated actions create unsafe outcomes or excessive blast radius.
Attack Path Chaining (APC)
Connect target-, environment-, or system-specific findings into ATT&CK-mapped attack clusters. Keep evidence-grounded steps separate from precedent-backed hypotheses, independently validate the chain, and identify remediation chokepoints.
Confirmed reproduction
Prove whether the behavior is real. Every confirmed finding carries reproduction evidence and a retest condition.
RAG and XPIA validation
Test retrieval authorization, tenant and corpus boundaries, source provenance, poisoned or hostile retrieved content, and indirect prompt injection paths.
Guardrail and policy bypass
Evaluate instruction hierarchy, policy enforcement, refusal behavior, output controls, and adversarial framing under realistic failure conditions.
Replay and regression
Convert confirmed failures into reusable fixtures so the same path can be retested after remediation and across later releases.
Attack Path Chaining - APC
From isolated findings to defensible attack chains.
Most security reports stop at individual findings. APC asks the harder question: which findings can actually combine into a meaningful adversary path?
Grounded core
Build only from target-, environment-, or system-specific evidence: findings, CVEs, exposed credentials, runtime evidence, code paths, authority relationships, and other supported security intelligence.
Precedent-backed extensions
Where direct evidence ends, model clearly labeled earlier or later TTP hypotheses using supported real-world adversary sequencing. Inference never becomes a grounded finding.
Independent validation
Separate validators challenge evidence grounding, ATT&CK mapping, sequence plausibility, and unsupported assumptions before the chain advances.
What APC returns
Scope note
APC performs defensive attack-path analysis at the tactic-technique-procedure level. It does not generate exploit code, payloads, credential material, or step-by-step intrusion instructions.
Workbench capabilities that support Attack
Use the right lens before you claim the path.
SecEng Code Scanner
Find AI-native code paths across prompts, retrieval, models, agents, MCP, tools, sensitive data, and downstream actions. Feed relevant paths into adversarial validation and APC when deeper chaining is warranted.
SecEng Adversarial Range
157 adversarial scenarios across prompt injection, RAG abuse, jailbreaks, tool misuse, multimodal, and agentic attack surfaces. Confirmed failures can feed APC for multi-step attack-path analysis.
SecEng Authority Graph
Map and test how agents, identities, credentials, MCP servers, tools, approval gates, and external effects compose. Authority findings can become grounded APC evidence when they contribute to a larger attack path.
Attack Path Chaining (APC)
Build validated attack clusters from grounded evidence, then challenge the chain independently before it becomes a defended claim.
SecEng RAG Test Harness
Validate retrieval authorization, corpus boundary enforcement, tenant isolation, XPIA attack chains, and regression fixtures for RAG-backed AI systems.
SecEng Artifact Analyzer
Analyze Rust, Go, browser, and MCP artifacts for authority signals, capability exposure, and evidence-quality review outputs.
AI Red Team & Adversarial Testing
Structured adversarial testing for prompt injection, jailbreaks, tool misuse, retrieval abuse, and unsafe workflows.
Framework coverage
Map findings to the frameworks teams already use.
Where applicable, findings and evidence can be mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act, ISO/IEC 42001, and other supported control frameworks.
MAP
Inventory & Trace
Understand architecture, data paths, trust boundaries, authority, ownership, and evidence gaps.
Open routeATTACK
Test & Validate
Reproduce AI abuse paths and determine which findings form meaningful attack chains.
Open routeDEFEND
Harden & Verify
Change architecture and controls, constrain authority, and verify the original paths no longer succeed.
Open routeEVIDENCE
Prove & Reuse
Preserve findings, attack paths, fixes, retests, control proof, and buyer-ready artifacts.
Open route