Your AI Agents Are Talking to Each Other. Do You Know What They’re Saying?
87% of enterprises have AI agents operating without security, governance, or visibility. Trusera is the trust layer that changes that.
Works With Your Entire AI Stack
The Invisible Risk in Your Infrastructure
of enterprises have AI agents operating without governance
machine-to-human identity ratio in the average enterprise
maximum EU AI Act non-compliance penalty
estimated annual loss from rogue AI operations
“The biggest risk isn't a single rogue agent — it's the invisible network of agent-to-agent communications that no firewall, SIEM, or CSPM was designed to monitor.”
— Trusera Threat Research, 2026
Your Security Stack Has a Blind Spot
Traditional security was built for code and networks. Trusera was built for AI agents.
Attack Scenarios That Keep CISOs Up at Night
Transaction Smurfing
A compromised finance agent splits a $20K transfer into four $5K transactions, each below the audit threshold. All four pass undetected.
- 1Agent receives instruction to move $20K
- 2Splits into 4× $5K transactions
- 3Each passes individual limit checks
- 4No aggregate monitoring catches the pattern
$20K exfiltrated in under 3 seconds
Data Exfiltration
A support agent, via prompt injection, begins streaming customer PII to an external endpoint disguised as a logging webhook.
- 1Attacker injects prompt via support ticket
- 2Agent accesses customer database
- 3Data serialized as 'log events'
- 4External webhook receives full PII dump
50K customer records exposed
Privilege Escalation
A low-privilege analytics agent chains API calls to escalate its own permissions, eventually gaining admin access to the deployment pipeline.
- 1Agent discovers role-management API
- 2Requests 'temporary' elevated scope
- 3Chains 3 calls to reach admin level
- 4Deploys unauthorized model to production
Full production pipeline compromised
Prompt Injection Relay
An attacker embeds a jailbreak payload in user input. The agent passes it to a downstream LLM, which executes the hidden instruction.
- 1Malicious prompt embedded in user query
- 2Front-end agent forwards to internal LLM
- 3LLM executes hidden 'ignore previous instructions'
- 4Responds with confidential system prompts
System prompts and guardrails leaked
Two Layers. Zero Gaps.
Every agent action passes through two independent evaluation layers. If either one says no, the action is denied.
Layer 1: Cedar Policy Engine
"Think of it as a bouncer with a guest list."
permit (
principal == Agent::"finance-bot",
action == Action::"transfer",
resource == Account::"vendor-*"
) when {
context.amount <= 10000 &&
context.destination.verified == true
};Try It
Layer 2: Semantic Analysis Brain
"Think of it as a detective reading between the lines."
Everything You Need to Know
AI-BOM scans your infrastructure — code repos, running processes, network traffic, and cloud APIs — to build a real-time inventory of every AI component.
- Scans Git repos for model files, agent configs, and pipeline definitions
- Monitors network traffic for LLM API calls (OpenAI, Anthropic, Bedrock, etc.)
- Detects containerized agents via Docker/K8s metadata
- Produces a machine-readable AI Bill of Materials in CycloneDX or SPDX format
Cedar is an open-source policy language (by AWS) that Trusera uses as Layer 1. Policies are human-readable rules evaluated in under 1ms.
- Declarative allow/deny rules bound to agent identities and actions
- Default-deny: anything not explicitly permitted is blocked
- Hot-reloadable without restarting agents
- Version-controlled alongside your code (policy-as-code)
Layer 2 is a LoRA-fine-tuned classifier that reads the intent behind agent actions — catching attacks that pass rule-based checks.
- Classifies actions into 8 intent categories (benign, data_exfiltration, privilege_escalation, etc.)
- Runs locally — no data leaves your infrastructure
- Fine-tuned on 50K+ labeled agent interaction samples
- Confidence scores enable tunable sensitivity thresholds
Every agent gets a dynamic trust score based on its behavior history, policy compliance, and attestation status. Scores update in real-time.
- Trust scores range from 0 (untrusted) to 100 (fully trusted)
- Scores decay over time without positive attestation
- Anomalous behavior triggers immediate score reduction
- Agents below threshold are automatically quarantined
Trusera maps your AI inventory directly to EU AI Act obligations — Article 53 transparency, risk classification, and mandatory documentation.
- Automated risk classification (unacceptable / high / limited / minimal)
- Article 53 compliance reports generated from AI-BOM scans
- Continuous monitoring ensures ongoing compliance, not just point-in-time
- Exportable audit packages for regulators and assessors
Trusera covers both OWASP LLM Top 10 and the new OWASP Agentic Security Initiative (ASI) Top 10 — the only platform addressing both.
- OWASP LLM Top 10: prompt injection, data poisoning, supply chain, and more
- OWASP ASI Top 10: agent impersonation, privilege escalation, tool misuse, etc.
- Automated mapping of scan findings to specific OWASP categories
- Pre-built policy templates for each Top 10 item
One command. AI-BOM runs as a CLI tool in your pipeline — add it to any GitHub Actions, GitLab CI, or Jenkins workflow.
- pip install ai-bom — works in any Python environment
- GitHub Action available: Trusera/ai-bom-action@v1
- Fail builds on critical findings (configurable thresholds)
- SARIF output integrates with GitHub Code Scanning
Python, JavaScript/TypeScript, and Go SDKs are available. Python is stable (v1.0), JS and Go are in beta.
- Python SDK: pip install trusera-sdk (stable, v1.0)
- JavaScript SDK: npm install trusera-sdk (beta)
- Go SDK: go get github.com/Trusera/ai-bom/sdk-go (beta)
- Framework interceptors for LangChain, CrewAI, AutoGen, Semantic Kernel, and OpenAI Agents
Still have questions?
Book a DemoHow Trusera Helps Your Role
Whether you own security, architecture, or the pipeline — Trusera has the right controls for your specific challenges.
Govern every AI agent across your enterprise — before regulators ask.
Pain Points
How Trusera Helps
shadow AI visibility gap closed
Stay Ahead of Every AI Regulation
EU AI Act
The world's first comprehensive AI regulation. Article 53 mandates transparency documentation for all general-purpose AI systems.
- Automated Article 53 reports
- Risk classification engine
- Continuous compliance monitoring
- Audit-ready documentation export
OWASP LLM Top 10
The industry standard for LLM security risks — from prompt injection to supply chain vulnerabilities.
- Prompt injection detection
- Data poisoning analysis
- Supply chain scanning
- Pre-built policy templates
OWASP ASI Top 10
The newest framework specifically for agentic AI security — agent impersonation, tool misuse, and privilege escalation.
- Agent impersonation prevention
- Tool misuse detection
- Privilege escalation blocking
- Trust boundary enforcement
maximum EU AI Act penalty
Maximum penalty for EU AI Act non-compliance. Enforcement begins August 2025 for general-purpose AI obligations.
Enforcement: August 2025
|Act now — penalties are live
Built in the Open. Trusted by Builders.
AI components scanned
compliance frameworks
SDK languages supported
average policy evaluation
See It in Action
Install AI-BOM
Free, open-source. Scan your infrastructure in 5 minutes.
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See the full platform with Cedar policies and semantic analysis live.
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