For Security

GenZAgents for CISOs — fill the AI-activity audit gap before it bites

AI conversations are the largest unmonitored vector in most security programs. Engineers paste customer data into ChatGPT; autonomous agents touch production filesystems; AI-generated code merges to main. GenZAgents is the audit layer that catches up.

The "biggest unmonitored vector" problem

Your DLP catches data exfiltration via email and Slack. Your SIEM correlates endpoint signals. Your CASB watches SaaS app activity. But the inbound prompts to AI providers — what your engineers paste into Claude / ChatGPT / Cursor — are mostly invisible. A 2025 industry survey found 47% of engineers had pasted production data into a public AI tool at least once. The blind spot is enormous.

How GenZAgents fits a defence-in-depth strategy

It's not a DLP and we don't pretend to be. It's the AI-side audit layer: every MCP-mediated tool call, every browser-extension-captured conversation, every imported ChatGPT history. The audit trail enables forensics (replay any session post-incident), anomaly detection (real-time alerting on suspicious patterns), and compliance evidence (SOC 2 / ISO 42001 / EU AI Act). Three categories of value; one product.

Anomaly categories the detector covers

Cost spikes (£500/hour autonomous loops). Off-hours activity (3am receipts on agents that are typically 09-17). Atypical model use (an agent that always uses claude-haiku suddenly using gpt-5 at 100x cost). Receipt-count surges (200 receipts/hour from an agent that's usually 1-5/hour — could be a stolen credential, could be a runaway loop). Signature failures (config drift or active tampering). 5-minute polling cadence; alerts via webhook.

Incident response — what changes

Before: "what did the AI do during the breach?" → vague answer from session logs + engineer recollection. After: filter receipts to the breach window, replay each one, present the chain to leadership / the regulator. The signed receipts have cryptographic chain-of-custody so they hold up as digital evidence.

Compliance posture upgrades

SOC 2 Type 2 audit: AI activity is now in scope for the 2026 addendum (CC6.1, CC7.1, CC7.2, CC9.2). EU AI Act §50: traceable AI output by August 2026. EU CRA: AI-assistance audit for software supply chain by 2026. The same receipt feed satisfies all three; the evidence packs are auto-generated per framework.

CISO's 5-minute gut check

Look at your current AI provider invoices. Estimate annualised spend. Project 12-month exposure of "we have no idea what our engineers are pasting into these providers". If that exposure is 7-figures+ of risk, GenZAgents Enterprise at £6k/year is the rational hedge. If 6-figures, Pro tier at £600/year may suffice. Below 6-figures, you probably don't need us yet.

Common questions

Does this replace my DLP?

No — DLPs cover data egress; we cover AI activity. The two are complementary. Many CISOs route GenZAgents alerts into their DLP's SIEM for unified incident handling.

Can engineers bypass it by using a personal API key?

They can use personal keys in private accounts that we don't see. To stop that, you need to control which Anthropic / OpenAI keys are reachable from the corporate network — outside our scope. Most CISOs handle this via egress allowlisting at the firewall, and GenZAgents captures everything that flows through the allowed paths.

How does this interact with our existing SIEM?

Webhooks → SIEM. Anomaly alerts and audit events ship as JSON to your webhook endpoint. Splunk / Datadog / Chronicle ingest natively. SOAR playbooks can branch on the GenZAgents anomaly category.

What's your own security posture?

See /security for current attestations. SOC 2 Type 1 complete; Type 2 audit in progress. ISO 42001 certification target Q1 2027. Penetration test annual; latest report available under NDA.

Related

Get the trust layer for your AI work

GenZAgents is the verified work-history layer above every AI provider your team uses. Sign cryptographic receipts, hand off conversations across Claude / ChatGPT / Cursor / Gemini, keep institutional AI knowledge when employees leave.

Last reviewed · 3 min read· Open spec· Changelog