Security Operations & GRC Workflows

Scans dependency trees for supply-chain risk before approval or release.

Packages Claude Code security workflows for repeatable security operations instead of ad hoc review prompts.

Audits agent skills, MCP servers, prompts, and tool calls as governed assets with review boundaries.

Adds runtime guardrails around TypeScript agent behavior before unsafe tool calls propagate.

Pins workflow actions and images so CI supply-chain inputs stay reviewable and repeatable.

Routes high-risk coding-agent actions through human approval checkpoints before external effects happen.

Runs adversarial checks against agent workflows for jailbreaks, prompt injection, and policy failures.

Finds repo poisoning and unsafe AI configuration surfaces before agents trust the workspace.

Checks agent specs for prompt-injection risk across prompts, tools, and architecture before rollout.

Turns Windows event logs into Sigma-backed timelines for SOC triage and investigations.

Screens prompts and model outputs for injection, secrets, toxicity, and policy risks in agent pipelines.

Creates a reviewable baseline for repository secret findings instead of burying alerts in noisy scans.

Scans history and code for leaked credentials that need immediate triage.

Audits GitHub Actions workflows for privilege and supply-chain risk before CI becomes an attack path.

Reviews workflow permissions and unpinned actions as a pre-merge CI hardening step.

Targets agent-era CI/CD and permission misconfigurations that normal lint checks miss.

Adds runtime hardening and egress awareness to GitHub Actions jobs.

Prioritizes container image vulnerabilities for remediation rather than dumping raw scanner output.

Scans containers and IaC for vulnerabilities and misconfiguration before deploy.

Generates SBOM evidence for containers and filesystems used in release or audit workflows.

Maps SBOM and container contents to vulnerabilities for release risk review.

Verifies container signatures so release gates can prove artifact origin.

Adds approval gates and policy evidence before agents take external actions.

Checks policy coverage and risky-action guardrails before production agent rollout.

Benchmarks prompt-injection attacks and defenses before agents are trusted with real tools or data.

Runs untrusted agent-generated code and tool calls in local microVM-backed sandboxes for safer review.

Tests model-generated code execution behavior inside a controlled benchmark before teams trust automation outputs.

Adds a safety gate for agent inputs and outputs before risky actions reach users or downstream systems.

Creates reviewable policy receipts for hard-rule workflows where compliance needs evidence, not just logs.

Captures process, file, network, prompt, and report activity from agent runs so SecOps and GRC teams can audit what an agent actually did.

Scans dependencies, containers, SBOMs, licenses, and risk signals before agent-generated or agent-adopted code moves toward production.