LogicBounce Platform

AI Security

Security for the AI-Native Enterprise

AI agents, LLM applications, and autonomous workflows are being deployed into enterprise environments faster than security can keep pace. They hold real credentials, access real data, execute real actions — and they can be manipulated, compromised, or simply over-permissioned. LogicBounce provides the only enterprise security platform built from the ground up with AI agent security as a first-class capability.

140+
Shadow AI agents
Average undiscovered agents found in enterprise AI audits
30%
Have production DB access
Of undiscovered agents found with sensitive data access
<1s
Prompt attack detection
Real-time detection before malicious instruction executes
100%
Agent visibility
Complete discovery including shadow AI across the enterprise

AI Security Coverage

  • AI Agent Discovery & Inventory
  • Agent Identity Governance
  • MCP Server Security
  • Prompt Injection Protection
  • Runtime Behavioral Monitoring
  • Autonomous Agent Containment
The AI Security Problem

Your AI Agents Are Autonomous Actors. Treat Them That Way.

A deployed AI agent with access to your email system, calendar, file storage, and CRM is not a passive tool. It is an autonomous actor with real credentials, real permissions, and the ability to take real actions — including actions an attacker can cause it to take through prompt injection, context manipulation, or identity compromise.

Traditional security tools were not built to monitor, govern, or contain AI agents. They can’t discover shadow AI deployments, evaluate agent trust, detect prompt injection in real time, or contain a compromised agent before its malicious action completes. AgentShield and the Nexus platform were.

  • Continuous discovery including agents deployed without security awareness
  • Formal identity, authentication, and authorization for every agent
  • Real-time prompt attack detection before instruction reaches the model
  • Behavioral monitoring that detects drift from established agent baselines
  • Automatic containment when trust thresholds are violated

AI Attack Techniques Covered

  • Direct Prompt Injection
  • Indirect Prompt Injection
  • Context Window Poisoning
  • MCP Server Exploitation
  • Agent Impersonation
  • Tool Permission Escalation
  • Credential Harvesting via RAG
  • Autonomous Workflow Hijacking
How AI Security Works in Nexus

Discover. Govern. Monitor. Contain.

01

Continuous Agent Discovery (AgentShield™ + Atlas™)

AgentShield continuously discovers every AI agent, LLM application, MCP server, autonomous workflow, and agent framework across your enterprise — including the shadow AI that engineering teams deploy without informing security. Atlas maps every agent into the Security Graph, modeling what tools it can access, what data it can read, and what actions it can take.

02

Agent Identity & Permission Governance (AgentShield™)

Every agent is issued a formal identity with authentication, authorization, and lifecycle management. AgentShield inventories every tool, API, and data source each agent can access and continuously evaluates whether those permissions are appropriate — enforcing least-privilege at the agent layer and alerting when permissions drift from approved baselines.

03

Real-Time Prompt Attack Detection (AgentShield™)

Every prompt processed by a monitored agent is analyzed by AgentShield before reaching the model — detecting direct injection, indirect injection via documents or emails, jailbreak patterns, context manipulation, and prompt poisoning. Detection latency is under one second. Blocked prompts are logged with full context for investigation.

04

Runtime Behavioral Monitoring (Overwatch AI™ + AgentShield™)

AgentShield establishes behavioral baselines for every agent and continuously monitors tool invocations, API access, data access patterns, and workflow execution for deviations. Overwatch AI correlates agent behavioral anomalies with broader enterprise context — identifying when an agent’s unusual behavior is part of a larger attack campaign.

05

Autonomous Agent Containment (Vanguard™)

When trust thresholds are violated or compromise is detected, Vanguard acts immediately — suspending the agent, restricting tool access, revoking credentials, blocking workflow execution, and isolating connected MCP servers. Containment executes before malicious actions complete, preventing the injected instruction from achieving its objective.

AI Security Capabilities

What AI Security in Nexus Covers

Agent Discovery & Inventory

Continuous, automatic discovery of all AI agents, LLM applications, MCP servers, and autonomous workflows — building and maintaining a complete, always-current AI asset inventory.

  • Shadow AI discovery
  • Agent framework identification
  • MCP server enumeration
  • Tool & API access inventory
  • Agent-to-data relationship mapping

MCP Security

Security governance for Model Context Protocol infrastructure including server discovery, tool permission analysis, access governance, and trust evaluation across the MCP environment.

  • MCP server discovery & inventory
  • Tool permission analysis
  • Over-exposed tool identification
  • MCP access governance
  • Cross-agent MCP trust evaluation

Prompt Attack Protection

Real-time detection and blocking of prompt injection attacks, jailbreak attempts, context manipulation, and prompt poisoning before malicious instructions reach the model.

  • Direct injection detection
  • Indirect injection via documents
  • Jailbreak pattern recognition
  • Context manipulation detection
  • Prompt poisoning identification

Agent Trust Scoring

Continuous dynamic trust scoring for every agent based on identity verification, behavioral history, tool access patterns, data access scope, and current risk indicators.

  • Behavioral history analysis
  • Tool access pattern scoring
  • Data access risk weighting
  • Peer comparison baselining
  • Dynamic score recalculation

Tool Invocation Validation

Pre-execution validation of every tool invocation request — checking authorization level, data sensitivity, risk impact, and policy compliance before the action completes.

  • Authorization verification
  • Data sensitivity assessment
  • Risk impact scoring
  • Policy compliance checking
  • Anomalous invocation blocking

AI Agent Forensics

Complete forensic capability for AI agent incidents including prompt injection evidence collection, tool invocation reconstruction, unauthorized action inventory, and agent behavioral timeline analysis.

  • Agent interaction log forensics
  • Prompt injection evidence
  • Tool call sequence reconstruction
  • Unauthorized action inventory
  • Behavioral drift documentation
Related Explore Pages

AI Security Connects to Identity, Attack Surface, and Research

AI agents create identity attack surface, expand the overall attack surface, and are the subject of active research published through our intelligence program.

Deploy AI. Don’t Deploy Risk.

LogicBounce gives you the governance, monitoring, and containment capabilities to deploy AI agents confidently — with full visibility and control over every agent in your environment.