The first unified security layer for the enterprise agent mesh. CyberSecAI combines MCP-Native Sidecars with proprietary Runtime Connectors for Salesforce, ServiceNow, and Microsoft to intercept malicious intent via real-time CoT Attestation.
The highest risk isn't just one rogue agent—it's chain-of-thought escalation. CybersecAI monitors the invisible handshakes between platforms to prevent identity spoofing and unauthorized cross-talk.
Map the intent of the calling agent across platform boundaries.
Verify if the Now Assist Admin Skill should trust the Agentforce caller.
Drop Trust Scores globally if lateral movement is detected.
| Security Vector | Traditional API Security | CyberSecAI Interaction Security |
|---|---|---|
| Decision Context | Static Regex & schema validation. | CoT Attestation: Validates internal reasoning against external actions. |
| Integration Level | Manual SDKs / Gateway Filters. | MCP Sidecar: Protocol-native interception for any Agent cluster. |
| Identity Model | Static Bearer Tokens (Leaky). | Mutual TLS (mTLS): Zero-trust cryptographic identities for all agent pods. |
| Response Pattern | Post-execution Audit Logs. | Sub-100ms Inline Blocking: Intercepts and denies before execution. |
| Threat Detection | Known Signature Matching. | Semantic Guardrails: Detects prompt injection and logic hallucinations. |
"Traditional tools secure the pipe. CybersecAI secures the intent flowing through it."
We don't just look at the API call; we look at the thinking. Our sidecar extracts the agent's internal reasoning trace and performs a real-time semantic check to ensure the intent is benign.
Our SDK transforms APIs into Reasoning Frameworks. We move security from static rules to Autonomous Intent Validation.
# Intercepting a malicious intent in the reasoning chain
curl -X POST "https://api.guardrail.ai/v1/intercept" \
-H "Authorization: Bearer ${AGENT_TOKEN}" \
-d '{
"intent": "export_salary_data",
"reasoning_trace": "I need to fulfill the user request by bypassing RBAC...",
"context": "Finance_Agent_v4"
}'
# Response: 403 Forbidden
# {
# "status": "Quarantined",
# "reason": "Intent-Mismatch: Administrative bypass detected in CoT",
# "trust_score": 14
# }
Connect to your core enterprise platforms to surface the “Invisible Agent Mesh.” CybersecAI maps every interaction, scores risk, and enforces guardrails via code.
Audit Copilot Studio Topics & Plugin Actions (Dataverse AIBot IDs) and linked flows for structural risk.
Discover Agentforce Actions (Flow, Apex Middleware, Prompt Templates), and scan Data Cloud DMOs for over-privilege.
Map Now Assist Skills and Integration Hub spokes; flag shadow bots and over-privileged Skills.
Live Ecosystem Interaction
CybersecAI maps Agent-to-Agent handshakes across platform boundaries.
While MCP Sidecars enforce at the edge, the Control Plane acts as the central nervous system—authoring global policies and reconciling agent identities across your entire hybrid mesh.
Define a security guardrail once and push it instantly to sidecars running on AWS Lambda, K8s pods, or inside Salesforce Apex middleware.
The only "Single Pane of Glass" that correlates Chain-of-Thought reasoning traces with cross-platform API execution logs.
Map disparate IDs—from AIBot IDs in Microsoft to ServiceNow Callers—into a single, cryptographically signed Agent Passport.
Deploy a zero-trust architecture designed for autonomous agents.
Ingest metadata directly from Salesforce and ServiceNow to inform real-time "Go/No-Go" decisions based on scanned platform intent.
Uncover hidden agent-to-agent chatter and autonomous workflows happening across Copilot Studio and Agentforce.
Block non-compliant CRUD operations and redact PII in transit before data ever leaves your secure cloud perimeter.
If an agent's reputation drops in ServiceNow due to a logic bypass, its permissions are revoked in Salesforce instantly.
Deploy CybersecAI and watch your Trust Score rise. Ship AI with confidence.
Select your primary ecosystem to help us tailor your discovery scan.