Agentic system assurance
Threat modeling and adversarial review for agents, MCP and A2A systems, tool use, memory, identity and human-approval boundaries.
Independent security assurance for autonomous systems
Delx Security helps teams ship AI agents, software products and cloud systems with bounded authority, verifiable controls and a credible path through failure.
What we secure
The work starts with mission and architecture, follows the highest-risk paths into implementation, and ends only when remediation is verified. No generic checklist theatre. No unbounded testing.
Threat modeling and adversarial review for agents, MCP and A2A systems, tool use, memory, identity and human-approval boundaries.
Evidence-led review of applications, APIs and cloud architecture against explicit controls, attack paths and production behavior.
Practical security engineering for software supply chains, release gates, secrets, access control and observable operations.
Runbooks, tabletop exercises and containment plans built around the systems, dependencies and decisions that actually matter.
Operating doctrine
Every autonomous action needs an identity, an allowed scope and a revocation path.
Configuration is intent. Runtime evidence is what proves the control is alive.
Detection, containment and recovery are product capabilities, not emergency paperwork.
Every finding connects risk, proof, remediation and a reproducible verification step.
Standards, translated into action
Framework alignment is a method, not a certification claim. Scope, evidence and limitations are stated in every engagement.
A bounded engagement
Define the system, business impact, authority and written rules of engagement.
Map assets, trust boundaries, agent actions, abuse cases and credible failure paths.
Test controls with proportionate, authorized techniques and preserve reproducible evidence.
Prioritize fixes by exploitability and impact, then verify the remediated behavior.
Direct answers
Clear boundaries are part of the assurance work. These answers describe what Delx Security does and does not claim.
Delx Security provides defensive assurance for AI agents, applications, APIs and cloud-native systems: threat modeling, product security review, secure delivery systems and incident readiness.
No. Active testing begins only after an auditable Rules of Engagement defines the assets, techniques, time window, contacts and stop conditions. Research environments use synthetic data by default.
No. Delx Security can map evidence to public frameworks such as NIST CSF, NIST AI RMF, OWASP and MITRE ATLAS, but it does not claim third-party certification unless formally qualified.
A bounded engagement frames the system and authority, models assets and abuse paths, verifies controls with proportionate authorized techniques, and verifies remediation with reproducible evidence.
Delx Security
Start with an architecture review, an agentic threat model or a focused production-readiness assessment.
Discuss the system