CrowdStrike Just Wrote a Threat Brief About AI Agents. Cisco Published a 2026 Report. Here's What You Can Do About It Today.
Source: Dev.to
Recent Threat Reports
CrowdStrike Threat Brief
CrowdStrike published a detailed brief analyzing how AI super‑agents with shell access, browser control, and API integrations can be hijacked via prompt injection—turning productivity tools into adversary‑controlled backdoors. The report calls out agents that store configuration and history locally with expansive execution privileges.
Cisco State of AI Security 2026
Cisco’s State of AI Security 2026 report highlights that while 83 % of organizations plan to deploy agentic AI, only 29 % feel ready to do so securely. It dives into the evolution of prompt injection, MCP‑protocol risks, and how agents can be weaponized for lateral movement.
Both reports convey the same message: agents that can act can be exploited, and security tooling hasn’t caught up.
The Problem for AI‑Agent Developers
Most of us building with AI agents already know this is a problem. We’ve read the OWASP Agentic AI Top 10, seen CVEs such as EchoLeak, Browser‑Use agent, and the CrewAI platform vulnerability. Yet many teams still lack practical defenses.
CrowdStrike’s approach—enterprise endpoint monitoring with Falcon sensors—works well for Fortune 500s with a subscription, but it leaves the rest of the community without a viable solution.
Introducing ClawMoat
ClawMoat is an open‑source security scanner built specifically for AI‑agent sessions (not web apps or APIs). It targets the exact attack classes highlighted by CrowdStrike and Cisco.
What It Detects
| OWASP AI Top 10 | Detection Capability |
|---|---|
| A01 – Prompt Injection | Direct/indirect injection, jailbreaks, role hijacking |
| A02 – Credential Leak | Flags API keys, tokens, passwords in agent I/O |
| A03/A04 – Tool Abuse | Policy engine enforcing allowlists and rate limits |
| A05 – Memory Poisoning | Monitors planted instructions in agent memory/context |
| A06 – Data Exfiltration | Detects unauthorized outbound data via URLs, commands, tool calls |
| A07 – Privilege Escalation | Catches permission‑boundary violations |
Usage
# Scan a session transcript
npx clawmoat scan ./session.json# Watch a live session
npx clawmoat watch --session live --alert webhook# Audit agent configuration
npx clawmoat audit --config ./agent-config.ymlZero dependencies. Pure Node.js. MIT licensed.
Industry Context
- Attack surface growth: The CrowdStrike report noted an open‑source AI‑agent project surpassing 150 k GitHub stars. Cisco found organizations rushing to integrate LLMs into critical workflows, often bypassing traditional security vetting.
2025 Incident Record
- EchoLeak (CVE‑2025‑32711): Single crafted email → automatic data exfiltration from Microsoft 365 Copilot. CVSS 9.3.
- Drift/Salesloft compromise: One chat‑agent integration → cascading access across 700+ organizations.
- CrewAI on GPT‑4o: Successful data exfiltration in 65 % of tested scenarios.
- Magentic‑One orchestrator: Arbitrary malicious code execution 97 % of the time with malicious files.
These incidents demonstrate that awareness reports alone are insufficient; we need tools that sit in the execution path and block attacks before they land.
Roadmap
- ML classifier for semantic attack detection (Q2 2026)
- Behavioral analysis for anomaly detection
- SaaS dashboard for teams running multiple agents
Get Involved
If you’re building or deploying AI agents, give ClawMoat a spin. Star the repo if it’s useful, and open an issue for any gaps you discover.