AI-NATIVE SECURITY OPERATIONS
Blacklattice designs, deploys, and hardens AI-driven security workflows for B2B enterprises — triage copilots wired into your SIEM, guardrails around the AI you ship, and detection pipelines that cut response time from hours to minutes.
Fixed-scope assessments · Deployed inside your tenant · No data leaves your perimeter
01 / THE PROBLEM
Analysts burn out triaging false positives while real intrusions sit in the queue. Hiring more people doesn't scale — the volume curve is exponential, headcount is linear.
Copilots, RAG pipelines, and agents went live across the business. Prompt injection, data exfiltration through model outputs, and over-permissioned tools are now your attack surface.
You bought the platform, ran the POC, and it's still not wired into real workflows. Tools don't fail for lack of features — they fail for lack of engineering around them.
02 / WHAT WE BUILD
We wire triage copilots directly into your SIEM and EDR — Splunk, Sentinel, Chronicle, CrowdStrike. Every alert arrives enriched, correlated, and scored before an analyst touches it.
OUTCOME → Analysts handle 10× fewer tickets and close them 8× faster.
Shipping AI to customers? We red-team it before attackers do — then build the guardrails: model gateways, tool-permission design, output filtering, and injection-resistant architectures.
OUTCOME → AI features that pass enterprise security review the first time.
Detections live in git, ship through CI, and trigger playbooks that actually execute. We migrate your rule sprawl into detection-as-code and automate the runbooks your team executes by hand today.
OUTCOME → Response steps that took an afternoon run in ninety seconds.
Regulators caught up. We build the model inventory, risk classification, and audit evidence pipeline that keeps your AI estate compliant — without freezing your roadmap.
OUTCOME → Audit-ready in weeks, with evidence that generates itself.
03 / HOW WE WORK
We map your alert flows, tooling, AI estate, and the top 10 workflows eating analyst hours. You get a scored gap analysis and a build plan with hard numbers on expected impact.
Reference architecture for your stack — model choices, data boundaries, tool permissions, human-in-the-loop gates. Reviewed with your security and platform teams until it survives scrutiny.
We build in your tenant, integrate with your SIEM/SOAR/EDR, and replay 90 days of your historical incidents through the new pipeline to validate precision before go-live.
Optional managed layer: we tune detections, retrain workflows as your environment drifts, and hand your team monthly precision/recall scorecards. You keep the keys — always.
04 / SELECTED WORK
A payments platform's 6-person SOC faced 5,000 daily Sentinel alerts. We deployed a triage agent with cross-signal correlation and human-approval gates on containment.
Red-teamed an LLM copilot handling PHI ahead of launch. Found 14 injection paths to record exfiltration; rebuilt the tool-permission layer and shipped a model gateway with full audit logging.
Migrated a decade of undocumented SIEM rules to Sigma in git with CI validation, then layered AI-assisted rule generation mapped to MITRE ATT&CK coverage gaps.
05 / ENGAGEMENT MODELS
$28,000 fixed
3 WEEKS
The starting point. A scored map of your SOC workflows and AI attack surface, plus a prioritized build plan with projected impact numbers.
from $120,000
8–12 WEEKS
Full build: we design, deploy, and validate your AI security workflows in production — in your tenant, on your data, against your incidents.
from $15,000/mo
QUARTERLY TERMS
We keep the machine sharp after go-live: detection tuning, workflow retraining as your environment drifts, and monthly precision scorecards.
06 / QUESTIONS SECURITY TEAMS ASK
No. Every deployment runs inside your cloud tenant. Model calls route through a gateway you control, with logging you own. Where policy requires it, we deploy against your private model endpoints (Azure OpenAI, AWS Bedrock, GCP Vertex) or self-hosted models — nothing transits Blacklattice infrastructure, and nothing is retained for training.
No — it's removing the work that burns them out. The AI layer handles enrichment, correlation, and the false-positive flood; your analysts make the judgment calls, now with full context attached. Every destructive action sits behind a human approval gate. Teams we work with redeploy analysts to threat hunting, not the job market.
Platforms give you capability; they don't give you integration, tuning, or workflows built around your environment. Most stalled pilots we inherit failed on engineering, not features. We're vendor-neutral — often the right answer is making the platform you already own actually work.
Before go-live, we replay 90 days of your historical incidents through the new pipeline and measure precision and recall against what your team actually ruled. You see the confusion matrix before anything touches production. Post-launch, the same measurement runs continuously and lands in your monthly scorecard.
Yes — it's usually fast, because there's little to review: no data processing on our side, no persistent access requirements, and we work under your IAM with scoped, time-boxed credentials. We provide our security documentation pack (insurance, background checks, secure-development practices) at first contact.
Forty-five minutes with an architect — not a salesperson. Bring your alert volumes, stack list, and the workflow that hurts most. You leave with an honest read on whether AI helps your case and a rough shape of what we'd build. If the answer is "you don't need us," we say so.
07 / START
Forty-five minutes with a Blacklattice architect. We'll map your highest-leverage AI security move and tell you plainly if we're not the right fit.