Enterprise-Grade AI Governance, Security & Threat Intelligence
AgentGuard is an independent cross-platform Guardian Agent that discovers, governs and protects every AI agent — and every Principal that creates, trains, and commands them — across the enterprise in real time.
Protect against OWASP Top 10 LLM vulnerabilities, Shadow AI, Injected AI, and Zero-Day AI threats while reducing AI spend by 60%
Enterprise-grade defense against the full spectrum of AI security threats
Unauthorized AI tools and agents operating outside IT visibility, creating security blind spots and compliance risks
When software vendors silently add agentic AI capabilities to their products without proper notification, exposing your data to unauthorized AI processing
Previously unknown vulnerabilities in AI systems exploited before patches are available, requiring proactive detection
Detect and mitigate misbehavior from both internal enterprise agents and external third-party agents — including unsafe actions, policy violations, and unauthorized autonomous decisions
Attackers no longer compromise the agent to act on its own — they compromise it to issue trusted instructions to your people. Once employees treat an internal agent as an authoritative voice, a single indirect injection turns your most loyal staff into the final step of the attack.
Why your current stack misses it: the malicious action is performed by an authorized human, not the agent — so DLP, tool scopes, and agent audit logs all stay green.
Existing legacy AI security tools are fighting 2024's war.
Behaves for months to win trust — then turns on you.
A trusted vendor's new AI now runs inside your stack.
No breach needed — your agent ships the data out.
An outsider feeds tainted content to your agent.
An employee shares data out to a hacker's agent.
Every agentic breakthrough spawns new attack vectors.
Behavioral security for AI agents — built for 2026, not 2024.
Agents are only as trustworthy as the Principals behind them — the identities, platforms, and pipelines that create agents, train their models, and command them at runtime. A single Principal compromise doesn't produce one rogue agent — it mass-produces an entire fleet of them. AgentGuard extends its guardian coverage upstream to protect that source of trust.
Who builds the agents
Developers, prompt engineers, and platform admins that define agent behavior, tools, and permissions.
If compromised: A compromised creator ships backdoored agents into production at scale.
What shapes the agents
Training pipelines, fine-tuning jobs, RAG indexers, and data curators that determine what agents know and how they reason.
If compromised: Poisoned data or tampered weights bake vulnerabilities into every downstream agent.
Who directs the agents
Orchestrators, service accounts, CI/CD systems, and control planes that issue instructions to running agents.
If compromised: A hijacked commander turns your entire agent fleet into an attacker's remote workforce.
How AgentGuard secures the source of trust for every agent it protects.
Continuously verify the humans, service accounts, and platforms authorized to create, train, or command agents — with strong identity binding, MFA enforcement, and anomaly-based revocation.
Detect risky changes to agent definitions, tool scopes, system prompts, and orchestration policies — enforce approval workflows before a Principal can push changes to the fleet.
Monitor datasets, fine-tuning jobs, embeddings, and RAG indexes for poisoning, drift, and unauthorized modifications — preventing tainted knowledge from being baked into agents.
Attest the provenance and integrity of base models, adapters, and weights consumed by internal builders — block unsigned or tampered artifacts before they become production agents.
Inspect the orchestrator-to-agent control plane in real time — catch injected instructions, hijacked service accounts, and adversarial commanders trying to redirect the fleet.
When a Principal is suspected of compromise, instantly quarantine every agent it created, trained, or commands — stopping mass-produced malicious agents before they act.
Correlate every agent action back to the Principal that created, trained, or dispatched it — giving compliance, SOC, and IR teams a single source of truth for AI accountability.
Extend Principal governance to SaaS vendors and partners whose platforms silently create or command agents inside your environment — closing the Injected AI gap at its source.
Protect the source, protect the fleet. Most AI security tools chase agents one runtime call at a time. AgentGuard shifts protection upstream — to the Principals — so a single compromise never turns into a fleet-wide breach.
Comprehensive protection against all OWASP Top 10 Large Language Model security risks
Direct and indirect prompt injection attacks that manipulate LLM behavior through crafted inputs
Real-time detection and blocking of malicious prompt patterns
Improper handling of LLM outputs leading to XSS, SSRF, or code execution vulnerabilities
Output sanitization and validation layers
Manipulation of training data to introduce vulnerabilities or backdoors
Data integrity verification and anomaly detection
Resource exhaustion attacks targeting LLM availability
Rate limiting and resource consumption monitoring
Risks from third-party components, models, and plugins
Continuous supply chain security assessment
Unintended exposure of confidential data through LLM responses
PII/PHI detection and data loss prevention
Vulnerabilities in LLM plugins and extensions
Plugin security assessment and sandboxing
Granting LLMs too much autonomy leading to unintended actions
Action boundary enforcement and approval workflows
Blind trust in LLM outputs without proper verification
Confidence scoring and human-in-the-loop integration
Unauthorized access and extraction of proprietary models
Model access controls and exfiltration prevention
AgentGuard's Threat Intelligence Engine provides continuous monitoring of the AI threat landscape, delivering real-time intelligence on emerging attack vectors, zero-day vulnerabilities, and advanced persistent threats targeting AI systems.
Real-time threat intelligence from global sources tracking emerging AI attack patterns and vulnerabilities
Continuously updated database of known prompt injection patterns, jailbreak techniques, and malicious payloads
ML-powered behavioral analysis detecting anomalous AI usage patterns and potential insider threats
Automated IoC detection for AI-specific attacks including model extraction and data exfiltration attempts
Real-time threat monitoring
Complete control, visibility, and security for your organization's AI operations
Comprehensive governance framework for all Agentic AI and GenAI tools with enterprise-grade security controls
Reduce AI costs by up to 60% using our smart Prompt Compression Engine that optimizes prompts without sacrificing quality
Advanced ML-based detection and prevention of prompt injection attacks including jailbreaks and indirect injections
Continuous threat intelligence feeds with real-time updates on emerging AI attack vectors and vulnerabilities
Monitor all AI agent activities and GenAI tool usage in real-time with comprehensive audit trails
Ensure AI operations meet SOC 2, GDPR, HIPAA, and other regulatory requirements with automated compliance checks
Comprehensive AI security workflow from discovery to continuous protection
Automatically discover and catalog all Agentic AI and GenAI tools across your organization with complete asset inventory
Analyze AI interactions for security risks including OWASP Top 10 LLM threats, prompt injections, and policy violations
Leverage threat intelligence to detect zero-day attacks and respond automatically with policy enforcement
Continuous monitoring, cost optimization through prompt compression, and ongoing governance enforcement
Advanced AI-powered compression that reduces prompt size by up to 60% while maintaining accuracy and context
Analyze and optimize AI tool usage patterns to eliminate redundant requests and inefficient prompts
Track and analyze AI spending across departments to identify cost-saving opportunities
60% reduction in AI operational costs
Built for enterprise scale with security, compliance, and reliability at the core
Secure isolation between organizations with dedicated resources
Enterprise SSO integration with role-based access controls
Deploy in your region with full data sovereignty compliance
Deploy AgentGuard in your own infrastructure
Granular permissions and department-level policies
Enterprise security certifications and compliance
Enterprise-grade uptime with 24/7 monitoring
Zero-knowledge architecture with full encryption
Join leading organizations that protect against AI threats and reduce costs by 60% with AgentGuard's comprehensive AI governance and threat intelligence platform.