External Agentic AI Attack Defense — Real-Time Blocking at the Edge
AgentHunter is a dedicated cross-platform defender that blocks 98% of external Agentic AI attacks targeting your enterprise — before they reach your data, agents, or people.
Neutralize adversarial autonomous agents, AI-driven reconnaissance, credential-stuffing swarms, and AI-powered social engineering in real time.
The autonomous attacker classes AgentHunter blocks at the edge — in real time, before they reach your data, agents, or people.
External Agentic AI mapping your surface at machine speed — no signature, no fixed IP, no human tempo. AgentHunter fingerprints intent, not just traffic.
LLM-orchestrated botnets defeat CAPTCHAs, imitate human rhythm, and rotate identities faster than legacy bot management can adapt.
External agents run persistent, context-aware campaigns across email, chat, voice, and support portals — impersonating vendors, customers, and executives.
Attackers target the new agentic surface — MCP servers, webhooks, plugins, and connectors — to reach your data through the tools your agents already trust.
External attackers plant instructions in the content your internal agents will ingest — web pages, PDFs, emails, tickets — turning normal workflows into attacker channels.
Why your current stack misses it: the payload is delivered as normal content — WAFs, EDR, and email gateways see nothing malicious until your own agent executes the attacker's instructions.
Your perimeter was built for humans and simple bots. Adversaries are running autonomous AI.
AI agents mapping your surface faster than your team can log in.
Bot armies that defeat CAPTCHAs and mimic human tempo.
Multi-turn, context-aware campaigns tuned per employee.
Attackers riding your exposed tools, webhooks, and plugins.
Hostile instructions delivered as ordinary web, email, or docs.
Agents chaining CVEs and logic flaws in minutes, not weeks.
The dedicated external Agentic AI attack defender — blocks 98% of adversarial agents at the edge.
End-to-end coverage of the external autonomous-agent techniques targeting modern enterprises
Autonomous AI agents mapping your public surface, employees, APIs, and vendor stack at machine speed
Behavioral fingerprinting of automated reconnaissance at the edge
LLM-orchestrated botnets rotating identities, solving CAPTCHAs, and mimicking human login patterns
Agent-vs-human classification and adaptive rate limiting
Goal-driven agents extracting pricing, PII, and proprietary data through your public endpoints
Intent detection and per-agent throttling with poisoned decoys
AI agents impersonating vendors, customers, or executives across email, chat, and voice channels
Cross-channel identity verification and deepfake signal analysis
External agents exploiting exposed MCP servers, webhooks, and third-party integrations
MCP-aware policy enforcement and connection-level authorization
Malicious content planted in web pages, docs, and emails to hijack your internal agents
Inbound content scanning for injection payloads before agent ingestion
External probing of your model endpoints to extract weights, prompts, and system instructions
Query pattern analysis and system prompt leak prevention
Autonomous agents chaining CVEs, misconfigurations, and business logic flaws in minutes
Agentic exploitation detection and pre-emptive blocking
Cost-inflation attacks and adaptive DDoS orchestrated by AI to bypass static defenses
Adaptive load shedding and per-agent cost caps
Malicious agents masquerading as trusted partner or marketplace agents to gain access
Agent identity attestation and cross-agent trust verification
AgentHunter continuously tracks adversarial AI agents in the wild — their orchestration frameworks, tool use, infrastructure, and campaigns — and turns that intelligence into edge blocks against the agents already probing your enterprise.
Cross-tenant telemetry tracking adversarial AI campaigns, infrastructure, and tooling in real time
Continuously updated behavioral fingerprints of known adversarial agent frameworks and orchestrators
ML-powered analysis of agent intent, planning depth, and tool-use patterns to detect novel adversaries
Cluster distributed agentic activity into coordinated campaigns targeting your industry and tenants
Live view of AI and agentic attacks
Detection, classification, and autonomous mitigation of adversarial AI agents across every enterprise surface
Real-time blocking of autonomous adversarial agents targeting your web, API, MCP, and communication surfaces
Identify and classify external AI agents by behavior, tooling, and orchestration pattern — not brittle signatures
Autonomous mitigations dispatched at the edge in sub-millisecond time via dedicated MCP servers
Live intelligence on adversarial AI campaigns, tooling, and infrastructure across the global attacker ecosystem
Geo-mapped, per-tenant view of active adversarial agents, campaigns, and mitigations in progress
Deploy in front of any surface with no code changes — DNS, reverse proxy, or MCP shim modes supported
Detect, classify, mitigate, and escalate — the full external Agentic AI defense loop
Continuously analyze inbound traffic and agent-to-agent interactions to identify autonomous adversarial behavior across every surface
Fingerprint the attacker-agent by orchestration pattern, tool use, and intent — separating human traffic, benign bots, and adversarial AI
Dispatch autonomous mitigations at the edge — blocking, deception, tarpitting, and cost inflation — through dedicated MCP servers
Escalate ambiguous or high-impact cases to human-in-the-loop review with full context, evidence, and recommended response
Behavioral fingerprinting separates humans, benign bots, and adversarial AI agents with sub-millisecond decisions.
Blocks, tarpits, decoys, and cost-inflation actions dispatched via dedicated MCP servers — no human in the loop required.
Per-campaign attribution, evidence bundles, and executive reporting on every adversarial agent stopped.
Autonomous defense against external Agentic AI attacks
Built for global enterprises defending against autonomous adversaries at scale
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 AgentHunter 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
Deploy AgentHunter at the edge and block 98% of external Agentic AI attacks — from autonomous recon and AI credential stuffing to agentic phishing and MCP abuse — before they reach your enterprise.