Core Services

Three focused ways to secure AI systems

CyberSE is built around practical AI security work: harden the agent, map the AI stack, and test the system before attackers or customers do.

Secure AI Agent Build visual Design and hardening

Secure AI Agent Build

Build agent workflows with scoped tools, approval gates, memory controls, logging, and prompt-injection resistant architecture.

For teams building production agents with tool access. Typical sprint: 8 weeks
  • Tool permission model
  • Human approval paths
  • Agent runtime controls
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AI Agent SBOM and LLM Mapping visual Inventory and exposure map

AI Agent SBOM and LLM Mapping

Document models, vendors, datasets, prompts, embeddings, plugins, APIs, and open-source dependencies so AI risk is visible.

For founders, CTOs, and compliance teams preparing AI controls. Typical sprint: 1 day
  • Model/vendor register
  • AI SBOM
  • LLM data-flow map
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AI Red Teaming visual Promptfoo, Garak, and adversarial tests

AI Red Teaming

Run structured tests for prompt injection, jailbreaks, data leakage, tool misuse, retrieval abuse, and unsafe outputs.

For AI products nearing launch, audit, or enterprise review. Typical sprint: 1 week
  • Promptfoo suites
  • Garak scans
  • Fix-prioritized report
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What You Get

Clear artifacts, not vague advisory slides

Each engagement produces usable engineering outputs your team can put into tickets, architecture reviews, vendor records, and security workflows.

Agent controlsPermission matrix, approval gates, memory rules, tool-risk review
AI stack mapModel register, vendor list, data-flow map, AI SBOM, dependency notes
Red-team suitePromptfoo tests, Garak scans, attack cases, findings, prioritized fixes
Supporting Capabilities

Additional ways CyberSE can help

Use these when you need governance, readiness, or CISO-level support around the core AI security work.

AI Agent Business Logic Audit Comprehensive review of LLM-based agent workflows, permission boundaries, tool invocation APIs, human-in-the-loop authorization gates, and downstream side effects. AI Security Readiness Assessment Holistic review of corporate AI adoption pipelines, vendor LLM integrations, organizational risks, and developer usage patterns against industry benchmarks. AI Policy Generator & Support Generate, refine, and enforce tailored organizational AI governance guidelines, acceptable usage policies, and software SBOM ingestion compliance frameworks. AI CISO Advisory Strategic virtual CISO advisory tailored for high-growth startups and SMBs navigating rapid AI adoption, security team structures, and customer trust requirements.
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