A practical story of how Flying Cloud CrowsNest™ and Paperclip SAFE® work together to address Agentic AI risks
The Challenge: When Helpful Agents Become Risky Houseguests
Monday, 9:12 a.m. A marketing ‘assistant’ agent is humming along: drafting collateral, pulling product facts, dropping a chart into a deck. At 9:13 it connects to a file share, hoovers up a pricing workbook, then reaches into a customer database through a connector someone enabled on Friday. None of this is malicious. The agent was asked to “build a competitive pricing story,” and it is very obedient. But somewhere in that task it crosses a line between helpful and hazardous: regulated fields, confidential forecasts, and a tranche of PII are now in the agent’s context window.
Security sees the outcome, not the sequence. A dashboard lights up after the fact. Logs exist, but the narrative thread is missing: what moved, who touched it, when plaintext appeared, and whether anything left the building.
Meanwhile, leadership asks the reasonable question: “If we are this reliant on agents, what keeps sensitive data from ever being exposed during use?” And for extra motivation, remember that according to IBM’s 2025 report, the average cost of a breach was about USD 4.44M globally and roughly USD 10.22M in the U.S.
Why Legacy Controls Crack Under Agentic AI Pressure
Traditional controls are great at storage and transport. Data is encrypted at rest. Transport is wrapped in TLS. Then the real work begins and decryption happens for processing. That’s the gap. Agentic frameworks create a non-human identity (NHI) which multiplies blind spots. They touch apps, files, APIs, third‑party tools and public (and/or private) cloud services, and potentially code (in some specific use cases) in a single ‘task’ that looks benign until you stitch the data story together.
Absolute promises don’t help here. You need instrumentation that rebuilds the narrative and an architecture that keeps sensitive data encrypted even while it’s being used.
The Turning Point: Instrument The Story, Remove Plaintext Windows
The team commits to two moves. First, make the data story observable in real time, at the data level, so you can see how sensitive content flows through agents and tools. Second, design the system so the riskiest moments; computation and search happen on ciphertext, not plaintext.
The Solution In Two Layers
Layer 1 — Flying Cloud CrowsNest™: Real‑time data surveillance and chain of custody
CrowsNest establishes visibility where agents actually operate. It fingerprints sensitive data, baselines normal usage, and watches how content moves across networks, apps, endpoints and clouds. When behavior deviates, it isolates the activity, preserves evidence, and coordinates with downstream controls. Instead of a pile of logs, you get action and a chain of custody: who accessed what, where it traveled, and whether policy was respected.
Product details: CrowsNest product page | CrowsNest for cybersecurity
Layer 2 — Paperclip SAFE®: Always‑encrypted, searchable operations
SAFE keeps sensitive elements encrypted not just at rest and in transit but during active use. AI and operational applications can search and process encrypted fields without exposing plaintext, so the “decryption window” that attackers love is dramatically reduced to near zero. In practice, sensitive fields are routed to SAFE through application patterns and APIs; the operational database (LLM or SLM) retains non‑sensitive elements while SAFE stores cryptographic indices and ciphertexts.
This isn’t magic and it isn’t absolute. It’s a production‑grade architecture designed to materially reduce exposure during the riskiest phase of data’s life. SAFE is post‑quantum ready, crypto-agile-by-design (CAbD), and aligned with EU DORA resiliency objectives, which helps teams future‑proof security and governance roadmaps.
Learn more about Zero Trust Data SAFE
Callout: agents, connectors, and MCP‑style toolchains
Frameworks like Model Context Protocol MCP) make it easy for agents to pull tools and data into a single workflow. That convenience raises familiar risks: prompt and tool injection, credential exposure, and confused‑deputy behavior. CrowsNest monitors the interactions and data flows; SAFE keeps sensitive computation on ciphertext. Together they reduce blast radius without blocking productivity.
How to Roll it Out in 90 Days
Day 0–30: Map the story.
- Leverage Flying Cloud to inventory which agents, connectors, and tools touch regulated or high‑value fields. • Enable CrowsNest to fingerprint those elements and baseline normal behavior. • Identify where plaintext currently appears during common tasks.
Day 31–60: Close the gap.
- Route sensitive fields into SAFE so agents can search and compute on ciphertext, but only as authorized and authenticated. • Use CrowsNest policies to flag anomalies and isolate suspect flows. • Validate that common agent tasks continue to perform within acceptable latency.
Day 61–90: Prove value and scale.
- Track mean time to detect and contain agentic AI involved anomalies. • Count and shorten ‘plaintext processing windows’ eliminated by SAFE. • Expand coverage to additional workflows and third‑party tools.
What Success Looks Like
Security gets a clean narrative: a chain of custody for sensitive data, not just after‑action noise. Operations stay fast because agentic AI continues to work, only now on ciphertext for the fields that matter. Compliance reviews get easier, with evidence that confidentiality, integrity, and availability are protected during active use: A key DORA and compliance theme.
Why This Matters—Beyond Security
Trust is a business asset. When customers know that their data is protected even while it’s being used by smart automation, adoption grows instead of stalling. Board conversations get simpler. You can show how exposure windows shrink, how anomalies are contained, and how the company can keep shipping features without trading away safety.
And if you need a hard nudge, independent research puts breach costs in the multi‑million‑dollar range” around USD 4.44M globally and north of USD 10M in the U.S. in recent reporting years (IBM Cost of a Data Breach). Fewer plaintext windows and faster containment aren’t abstract wins; they’re budget savers.
How To Engage
Start with one high‑value workflow that regularly mixes regulated data and autonomous agentic AI. Instrument it with CrowsNest, route the sensitive fields to SAFE, and measure what changes in 30 days. If the results match what we see elsewhere — cleaner narratives, fewer exposure windows, faster containment — then you can scale from there.
Request a working session: Talk to Paperclip about SAFE | Talk to Flying Cloud about CrowsNest