GRDS // SEC

// 00 · What We Do

Boutique AI-native security & SecOps for teams that value outcomes over hype.

// 01 · Approach

How we work: four phases, zero waste.

1. Assess

   Embed with your security team; map the threat model, telemetry, tooling, and gaps. Output: a one-page coverage + risk spec with measurable targets — time to detect and time to respond (MTTD/MTTR), coverage % — not a 40-slide deck.

2. Engineer

   Detection content, triage automation, and AI-assisted enrichment designed against your stack (SIEM/EDR/cloud) and operational requirements. A blueprint that maps to real data sources and real alerts.

3. Operationalize

   Build, test against red-team scenarios, and harden. Ship in tight cycles with clear checkpoints. Detections-as-code and runbooks are handoff-ready — your team owns them, no proprietary lock-in.

4. Measure

   If you can't measure it, you can't defend it. Instrument detection coverage, false-positive rates, time to detect and time to respond (MTTD/MTTR), and analyst load. Dashboards, alerts, and tuning loops — built-in, not bolted-on.

// 02 · Differentiators

What sets us apart in a crowded security market.

// 02b · Why GRDS

Senior-led. Handoff-ready. No lock-in.

// 03 · Services

Capabilities.

• Security Posture & AI Readiness Assessment Threat model, telemetry/coverage audit, tooling review, and a prioritized roadmap delivered in two weeks. From $10k–$20k.

What comes next — depending on assessment findings

• Detection Engineering (Detection-as-Code) Version-controlled detection rules you can audit and update — high-signal detections tested and CI-deployed across your SIEM/EDR/cloud, with measurable coverage baselines. Detection sprints from $30k–$55k.
• AI-Assisted Triage & SOC Automation Alert enrichment, correlation, and summarization pipelines with human-in-the-loop guardrails to cut alert fatigue.
• AI / LLM Security Securing the AI systems you ship: prompt-injection defense, PII/data-exfil controls, model abuse monitoring, and guardrail evaluation.
• AI Red-Teaming & Adversarial Testing Offensive testing of AI features and agents: jailbreaks, tool-abuse, data-poisoning, and adversarial input campaigns.
• Incident Response & Threat Hunting Proactive hardening, on-call escalation, and threat hunts — plus post-incident detection hardening so the same thing doesn't happen twice. Not forensics-only after a breach.
• Control Instrumentation & Evidence Collection Instrumenting detections and controls with measurable telemetry and structured evidence so your team owns the audit trail, not us.

Shipping AI products and need secure implementation? See GRDS // AI →

// 04 · Engagement Model

How a project runs.

We start with a free 30-minute fit call. If there's a match, we move into a paid, fixed-price scoping phase before any implementation work begins. No open-ended billing, no surprises.

// 05 · FAQ

Common questions.

• How is this different from a managed SOC / MSSP?

  We don't rent you a black box. We engineer detections and automation that your team owns and can read — and we prove it with coverage and time-to-detect/time-to-respond numbers, not a dashboard you can't audit.

• Do you use AI to replace analysts?

  No. We use AI to remove toil — triage, enrichment, summarization — so analysts spend time on real decisions. Humans stay in the loop on anything consequential.

• Are you tied to specific tools (SIEM/EDR/cloud)?

  Vendor-neutral by design. We work across Splunk, Elastic, Sentinel, CrowdStrike, cloud-native tooling, etc., and recommend based on fit and cost — no exclusive partnerships or kickbacks.

• Can you secure the AI features we're shipping?

  Yes. LLM/agent security is core: prompt-injection defense, data-exfil controls, abuse monitoring, guardrail evaluation, and adversarial red-teaming of your AI features.

• What if we already have a security team?

  We accelerate them — build the detection-as-code pipeline and eval harness they didn't have time for, or embed temporarily to unblock a specific hard problem (coverage gap, alert flood, AI risk).

• What does a detection engineering sprint cost?

  Focused detection sprints typically run $30k–$55k depending on scope — number of data sources, SIEM/EDR targets, and coverage goals. We quote fixed-price after the assessment, not open-ended hourly.

• How do retainers compare to vCISO or managed SOC services?

  Our retainers ($5k–$12k/mo typical) cover tuning, escalation support, and periodic threat hunting — not a 24/7 managed SOC. You keep ownership of your stack; we stay on call for the hard problems and continuous improvement.

• Do prices change for regulated industries?

  Fintech, healthcare, and defense engagements typically run 15–25% above listed ranges due to compliance scope, evidence requirements, and tighter change controls.

// 06 · Contact

Let's talk about what you're defending.

We start with a free 30-minute fit call. If there's a match, we move into a paid, fixed-price scoping phase — typically $10k–$20k for the Security Posture Assessment — before any implementation work begins.