Continuous AI Security
Ongoing security advisory, scheduled adversarial regression testing, and telemetry tuning for engineering teams deploying continuous prompt updates, new foundation models, and expanded agent tool integrations.
"How do we ensure that continuous prompt updates, model releases, and new tool additions do not introduce security regressions?"
What the Continuous Retainer Covers
Unlike one-off assessments, our continuous security service embeds ongoing adversarial validation directly into your AI release lifecycle:
Adversarial Regression Testing
Automated and manual re-execution of exploit harnesses against new prompt iterations, system instructions, and fine-tuned checkpoints.
Agent Privilege Drift Reviews
Auditing new agent tools, OAuth delegated scopes, and human-in-the-loop authorization gates as engineers add new capabilities.
MCP & Tool Addition Audits
Pre-deployment security reviews for third-party Model Context Protocol servers, external plugins, and database integrations.
SIEM Detection Rule Tuning
Updating SOC correlation rules and OpenTelemetry schemas in Splunk, Microsoft Sentinel, or Datadog as new AI attack vectors emerge.
CI/CD Pipeline Test Integration
Advising on integrating deterministic red-teaming checks and guardrail evaluations directly into GitHub Actions or GitLab CI.
Quarterly Residual Risk Attestation
Independent executive risk posture reports and compliance attestations designed for enterprise procurement and board oversight.
Predictable Security for Rapid AI Releases
Our retainer provides reserved monthly researcher capacity, direct Slack/Teams channel access, and formal monthly deliverables:
Commercial Terms
Related Technical Research
Explore research and reference labs connected to continuous security validation:
State of the Art in AI Security
Comprehensive survey on academic research, CVE trajectories, and GitHub tools.
Lab 003MCP Protocol Hardening
Techniques for auditing tool schemas and preventing parameter injection.
Lab 001RAG Injection Defense
Mitigation code and XML delimiters for continuous retrieval pipelines.
Scope Your AI Security Engagement
Configure your production AI architecture to calculate recommended testing depth, duration, and Founding Deal pricing.