Will the AI autonomously block traffic or delete users?

Not by default. We design assistive layers—summaries, suggested queries, and draft responses—while containment actions follow your change and approval workflows unless you explicitly automate low-risk narrow cases with guardrails.

How do you handle threat intel and sensitive findings in prompts?

Classification, minimization, regional data residency where required, and retention aligned to your IR policy. External model routes are chosen to match your risk review.

What is a defensible first SOC pilot?

Alert clustering narrative and playbook step retrieval with citations—measured on analyst time and false dismissal review, not vanity autoclose rates.

Does this replace MSSP or EDR?

No. It augments human analysis and documentation workflows around your existing controls.

DEFEND

AI for cybersecurity built for analysts, not movie plots

Alert volume, talent gaps, and audit fatigue are real. Generative AI helps when it cites your playbooks, respects least privilege, and never silently escalates privileges. We focus on SOC copilots, phishing and BEC triage assist, vulnerability queue narration, and GRC evidence retrieval—always with logging you can show an auditor.

Analysts get enriched context: similar past incidents, relevant policy clauses, and suggested queries—humans decide response
GRC teams draft control narratives and map evidence faster from governed document stores
CTI consumers summarize feeds into briefings with clear sourcing, not anonymous “APT” hand-waving

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We do not promise to “replace your SOC” or eliminate breaches—only disciplined assistive leverage.

Logged

Who asked what, when, on which case

Least privilege

Tool scopes match analyst roles

Grounded

Runbooks and policies as first-class sources

Human gate

High-impact actions require explicit approval

RISK

Where security AI backfires

Pitfalls

Over-trusting summarization on complex intrusions. Feeding raw customer PII into unapproved SaaS. “Autonomous remediation” without rollback tested.

Our mitigations

Grounding, evaluation on historical tickets, dry runs for automation, and integration with your SIEM and ITSM—not parallel stacks.

PATTERNS

High-value starting points

1) Tier-1 alert enrichment

Readable stories from noisy telemetry plus “questions to ask next”—reducing swivel-chair time.

2) Phishing and BEC analysis assist

Headers, indicators, and template responses grounded in your comms policy—humans close the case.

3) Vuln and patch queue narration

Business context and dependency hints from CMDB-linked docs—prioritization stays with risk owners.

4) GRC and audit evidence retrieval

Map controls to artifacts and draft narratives SMEs review before submission.

5) Secure engineering guidance

Developer-facing secure coding hints from internal standards—not generic blog advice without your exceptions list.

Agent workflows RAG for runbooks

GOVERNANCE

Fit for regulated environments

Data maps, model routing documentation, DLP alignment, and incident response for model failures. We help your security committee review before widening access.

FAQ

SOC and GRC questions

Autonomous blocking?

Not default; approvals and narrow automation only with testing.

Sensitive data?

Classify, minimize, and align retention to IR policy.

First pilot?

Alert narratives plus playbook retrieval with citations.

Replace EDR?

No—this augments human workflows around existing tools.

Scope a security-conscious AI pilot

Share your tooling, regions, and risk appetite. We will propose measurable scope your defenders can approve.

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