GRDS // SEC

SECURITY FOR THE AI ERA.

GRDS // SEC

We build AI-native security and SecOps that detects faster, responds harder, and proves it with data.

// 00 · What We Do

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

Focus
End-to-end AI-native security — from detection engineering and SOC automation through securing the AI systems you ship. Built, instrumented, handed off.
Clients
Security and platform teams in regulated and high-stakes environments (finance, healthcare, SaaS) drowning in alerts and shipping AI fast.
Philosophy
Detection as code, response as code, everything measured. No black-box "AI SOC" magic — disciplined engineering with AI where it earns its keep.
Scale
Boutique by design. Every engagement is led by a senior practitioner who writes detections and tunes pipelines — not a rotating bench of junior analysts.

// 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 (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 compliance constraints. 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, 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.

AI-Native Detection

We use AI where it actually reduces toil — alert triage, enrichment, correlation, summarization — with humans in the loop on every decision that matters. No autonomous "AI fired your SOC" theater.

Measurable SecOps

Coverage, MTTD, MTTR, false-positive rate, analyst hours saved. Every engagement starts with baseline numbers and ends with a scorecard. If it can't be measured, it can't be defended.

Vendor-Neutral & Senior-Led

We recommend the right tooling and the right model for the job — no exclusive partnerships, no kickbacks. Senior practitioners only: every engagement is led by someone who writes detections and tunes pipelines.

// 03 · Services

Capabilities.

  • Security Posture & AI Readiness Assessment Threat model, telemetry/coverage audit, tooling review, and a prioritized roadmap delivered in two weeks.
  • Detection Engineering (Detection-as-Code) High-signal detections versioned, tested, and CI-deployed across your SIEM/EDR/cloud, with measurable coverage baselines.
  • 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 Retainer-backed IR, proactive hunts, and post-incident detection hardening so the same thing doesn't happen twice.
  • Compliance & Audit Mapping Mapping detections and controls to SOC 2, HIPAA, PCI, and ISO 27001 with audit-ready evidence and logging.

// 04 · Engagement Model

How a project runs.

Phase Duration Deliverable Cost Model
Scoping & Proposal 1–2 weeks One-page coverage spec + fixed-price estimate Free
Assess & Engineer 2–4 weeks Detection/automation blueprint + risk register Fixed-price milestone
Operationalize 4–12 weeks Detections-as-code + automation + dashboards + runbooks Fixed-price, milestone-billed
Measure & Handoff 2–4 weeks Scorecard (MTTD/MTTR/coverage), runbook, team training Fixed-price milestone
Ongoing SecOps Support Optional retainer Monitoring, tuning, threat hunting, IR escalation Monthly retainer

// 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 MTTD/MTTR 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 parachute in to unblock a specific hard problem (coverage gap, alert flood, AI risk).

// 06 · Contact

Let's talk about what you're defending.

We start every engagement with a no-cost scoping conversation. Tell us what you're protecting — and where the alerts are coming from — and we'll tell you where AI actually helps, and what it should cost.

hello@grds.io