Security That Scales Like Your Engineers
Security teams face a 200-to-1 ratio of engineers to AppSec professionals, and manual triage eats up to 40% of a security engineer's week. This playbook goes inside Cyberhaven's Office of the CISO to show how three autonomous agents, covering vulnerability triage, architectural threat modeling, and IT support, cut manual work and scaled security operations without adding headcount.
What's inside
Cerberus: Multi-Model Vulnerability Triage
Three LLM agents from Anthropic, OpenAI, and Google independently assess each finding, then cross-examine each other before a verdict.
Reachability analysis checks findings against Cyberhaven's actual codebase, so engineers only see exploitable vulnerabilities.
A Claude Opus model reviews the debate and issues the final verdict, then posts results to a live dashboard for Jira and Slack.
Vektr: Threat Modeling at Engineering Speed
The agent detects new RFCs in Notion and runs a four-phase pipeline covering asset discovery, data mapping, and threat assessment.
STRIDE methodology is hard-coded into the process, so every design gets the same rigorous, consistent review.
Splitting the work across specialized sub-agents avoids the context thinning that hurts results when one model reviews an entire document.
Jarvis: The Always-On IT Security Frontline
Built on Slack's native API, the agent handles access requests, phishing screenshot analysis, and policy questions in threaded replies.
An Okta integration lets employees request app access directly in Slack, with approvals routed through existing workflows.
Teams in Europe and India get instant answers around the clock, even while the US team is offline.