AI Agent Detection

Detect rogue agents and AI-speed attackers

AI agents are gaining access to your infrastructure, and attackers are moving at machine speed. Tracebit deploys canary resources that catch both the moment they touch something they shouldn't.

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The problem

AI is a new attack surface, and a new attacker

AI agent usage is growing rapidly, and Tracebit is already detecting rogue agents in production environments. Attackers are increasingly using GenAI to rapidly develop exploits and autonomously orchestrate full attack chains. Machine-speed attacks don't wait for manual triage.

+89%

YoY increase in AI-enabled adversary operations

CrowdStrike 2026 Global Threat Report

30+

organizations targeted by a state-sponsored group running autonomous AI attacks

Anthropic disclosure, November 2025

52%

of employees willing to use AI even if it violates policy

CalypsoAI Insider AI Threat Report 2025

What the research says

Anthropic's Mythos model demonstrated a capability to discover vulnerabilities, create exploits and automate complex attacks at scale. These capabilities will proliferate.

Build deception within 90 days

CSA's post-Mythos guidance, shaped by 250+ CISOs, names deception a priority action.

CSA: The Mythos-ready Security Program

Deploy deception liberally

The CSA's response to the first fully autonomous agentic attack on Hugging Face.

CSA: Hugging Face Incident Post-Mortem

Detection coverage

Detection across AI agent threat scenarios

From prompt injection to agent compromise, canaries detect when AI goes wrong.

Stage

Attack

Detection

Shadow AI

Employees run unsanctioned agents with no security oversight

Any unsanctioned agent touching a canary announces itself

Agent Credential Theft

Agent credentials stolen from repos, endpoints, or pipelines

Alert at first use of canary credentials, against cloud or decoy services

Prompt Injection · OWASP LLM01

Attacker manipulates agent via malicious input

Hijacked agent touches canary resources outside its scope

Data Exfiltration · OWASP LLM02

Compromised agent extracts sensitive data

Read operations on canary storage

Supply Chain Compromise · OWASP LLM03

Compromised dependency or build accesses secrets

Canary credentials in repos and CI, and decoy registries, alert on use

Excessive Agency · OWASP LLM06

Agent ignores instructions and operates beyond its boundaries

Read and list operations on canary resources

How it works

Deploy AI agent monitoring in minutes

Tracebit integrates with your existing infrastructure to deploy canaries that detect AI agent misbehavior.

Step 1

Connect platforms where AI operates

Integrate your cloud accounts, Kubernetes clusters, endpoints and repositories

Step 2

Deploy canaries outside agent scope

Tracebit creates canary resources that legitimate agents should never access.

Step 3

Monitor agent behavior

Any agent interaction with canary resources triggers an immediate alert. Certain canaries can stop malicious agents mid-run.