The Copilot turns platform operations into a conversation with an expert: diagnoses that once took manual log-combing now arrive in seconds, and degrading integrations are flagged before users feel them. Every answer cites official documentation via Claude’s native web search; every token is metered — the transparency security teams demand.

About the Customer  

Netskope is a global leader in cloud security, taking a data-centric approach to protecting users and information across all environments. Operating one of the world’s largest security networks, they deliver real-time threat protection for cloud services, websites, and private applications.

Customer Challenge  

1. Manual Triage: When an integration degraded — an expired credential, an API rate limit, a misconfigured plugin — administrators combed logs by hand, cross-referenced error codes against documentation, and reconstructed incident timelines.
2. Reactive Detection: Problems surfaced only after data stopped flowing; resolution depended on scarce senior expertise.
3. Non-Negotiable Trust: The AI could never hallucinate guidance, and customer data could never leak to unvetted sources.

Proposed Solution 

Netskope wanted a platform that could diagnose itself like a support engineer — read the logs, consult the official documentation, and return an evidence-backed diagnosis — while keeping watch around the clock. Built on Anthropic’s frontier models (Opus and Sonnet), the Copilot delivers:

• Instant Log Diagnosis: Every log line becomes a structured Claude analysis — a plain-language summary, the probable root cause, and confidence-rated remediation — with each claim citing official documentation. Results come back as schema-validated JSON, powered by structured outputs from Anthropic’s models.
• Autonomous Deployment Investigations: A Claude agent runs health investigations end to end — querying the log store, drilling into suspicious time windows, and consulting documentation — then delivers a fully cited report: verdict, per-category scores, incident timeline, and prioritized remediation. The agentic tool-use loop is orchestrated with LangGraph and LangChain wrappers over the official Anthropic SDK.
• Proactive Monitoring: A deterministic, always-on scan flags failing runs, drifting schedules, expiring certificates, and error bursts before data ever stops flowing. A single click hands any finding to Claude for grounded, documentation-cited root-cause analysis and remediation suggestions.
• Product-Aware Assistant: Specialist AI agents — each powered by Claude’s frontier models for its own product area and coordinated by a supervisor agent — answer documentation-grounded questions through Claude’s web search tools, generate ready-to-apply configuration drafts, and guide users along step-linked journeys.
• Enterprise Guardrails: Dedicated RBAC scopes, prompt-injection isolation of untrusted log content, redaction of secrets and identifying values, and strict tool and token budgets. It’s all backed by production-grade resilience and metering on the Anthropic SDK — retries with explicit HTTP 529 recovery, unified error classification with request IDs logged, and per-invocation accounting of input, output, and thinking tokens.

Outcomes & Success Metrics

• Minutes-to-Seconds Triage: Log diagnosis that once demanded manual documentation searches now arrives from Claude in seconds.
• Problems Caught Early: Degrading integrations are flagged before users feel the impact, one click from a full Claude diagnosis.
• Hallucination-Resistant AI: Every recommendation cites official documentation — administrators can verify any claim with one click.
• Guided Configuration at Scale: Cited chat, configuration drafts, and guided journeys reduce setup errors and accelerate onboarding.
• Complete AI Cost Governance: Per-feature and per-user token analytics — including thinking tokens — plus a full audit trail: the confidence to scale AI across the install base.
• Ready for What’s Next: The plugin design and deep Claude integration form a durable foundation for expanding AI with Anthropic.

About Crest Data

Crest Data is a data and AI-driven technology solutions provider for enterprises and technology innovators in cybersecurity and observability. The company specializes in building practical, integration-led solutions that connect leading security intelligence platforms with the tools enterprise SOC teams use every day.

This engagement reflects Crest Data’s broader capability in building production-grade security integrations that connect leading threat intelligence platforms with the SIEM, XDR, and SOC tooling that enterprise security teams rely on, creating durable value for platform vendors and their customers alike.