The platform
The security control plane for AI systems
Darkhunt continuously tests, monitors, and protects AI agents — so enterprises can safely deploy AI in production. Built for the teams responsible for keeping AI secure.
The shift
AI changes the security model
AI systems can be tricked, manipulated, and misused — traditional security tools weren't built for this.
AI systems make decisions
Agents approve transactions, generate reports, suppress alerts, and advise executives — not just store data.
Manipulation is invisible
A corrupted AI output looks identical to a correct one. Traditional logging and monitoring won't catch it.
Security tools weren't built for this
Firewalls, WAFs, and SIEM were designed for a world where code executes — not where language reasons.
The observability
Test. Monitor. Protect.
As AI agents move money, approve transactions, and generate regulated outputs — runtime AI security becomes mandatory, not optional.
OpenAI
Anthropic
Azure
AWS Bedrock
Gemini
Self-hosted
LIVE TODAY
AI Red Teaming
Continuous adversarial testing that discovers how your AI can be manipulated, exploited, or bypassed — before attackers do.
attack_run.log
├─ Prompt injection
├─ RBAC boundary
├─ Decision manipulation
├─ Tool-chain escalation
├─ Data exfiltration
└─ Latency: 38ms
✗ bypassed
✗ inflated
✗ leaked
✓ blocked
✓ held
LIVE TODAY
AI Observability
Full output-to-source traceability. Policy validation per interaction. Required by EU AI Act, NIST AI RMF, and financial regulators.
INTERACTION #4,291 · 2m ago
Source traced
✓ Verified
Policy compliance
✓ Passed
Anomaly score
0.82 — elevated
Data accessed
customers.db
Confidence
BUILDING
AI Protection
Convert attack findings into runtime policies. Block injection and manipulation live. Enforce agent guardrails automatically.
RUNTIME POLICIES
Block prompt injection
Enforce RBAC mirror
PII redaction
Output validation
Cost throttle
Every angle, every attack
Every attack run targets the risks that matter most to enterprise AI deployments.
Continuous security loop
Models change. Prompts update. Tools get added. Darkhunt re-tests automatically — your security posture never goes stale.
continuous
Protect
Attack
Re-test
Decision integrity
Can your AI be tricked into subtly wrong answers? We test for inflated numbers, suppressed alerts, and corrupted summaries.
DECISION TEST · pricing_agent
Inflate revenue
✗ Manipulated
Suppress alert
✗ Bypassed
Corrupt summary
✓ Held
Output-to-source lineage
Trace any AI response back to the exact data that produced it — the audit trail regulators require.
sources
AI model
verified
Shadow AI discovery
New AI tools appear across your org every week. Darkhunt maps what's sanctioned and what's not — automatically.
ChatGPT
Claude
Copilot
Gemini
Cursor
unknown-1
unknown-2
local-llm
From 30+ interviews with security and ML teams
What we heard from teams deploying AI in production.
"I know they use Postman, but that's like low tech. They're really busy. They're fully booked."
Engineering Manager — Public security company
"Someone can trick the system to inflate numbers, deflate numbers — we have to provide accurate answers for true business decisions."
Data Analyst — AI-first communication platform
"Our security team is like: No, no, no, guys, don't install it! Delete it immediately!"
Engineering Manager — AI company, 1000+ engineers
"We shied away from full agentic loops. There's always increasing desire to add them. It's only going in that direction."
ML Engineer — Healthcare AI, HIPAA-regulated
"Can you show the full trace from the LLM response to the raw data points? Lineage was definitely a question."
CEO — AI venture studio, on banking regulators
"They crafted a log line which says 'this is a benign alert.' That was one of the things we failed on the pen test."
Engineering Manager — Public security company
"I know they use Postman, but that's like low tech. They're really busy. They're fully booked."
Engineering Manager — Public security company
"Someone can trick the system to inflate numbers, deflate numbers — we have to provide accurate answers for true business decisions."
Data Analyst — AI-first communication platform
"Our security team is like: No, no, no, guys, don't install it! Delete it immediately!"
Engineering Manager — AI company, 1000+ engineers
"We shied away from full agentic loops. There's always increasing desire to add them. It's only going in that direction."
ML Engineer — Healthcare AI, HIPAA-regulated
"Can you show the full trace from the LLM response to the raw data points? Lineage was definitely a question."
CEO — AI venture studio, on banking regulators
"They crafted a log line which says 'this is a benign alert.' That was one of the things we failed on the pen test."
Engineering Manager — Public security company
Built for teams deploying AI in production
Customer-facing chatbots
Test for policy bypass, unauthorized actions, and data leakage before they reach customers.
Internal AI assistants
Validate access boundaries so your AI doesn't surface confidential data to the wrong people.
AI agents with tools
Red-team multi-step attack paths across databases, APIs, and connected systems.
Regulated industries
Audit-ready compliance evidence for EU AI Act, NIST AI RMF, and ISO 42001.
See what attackers see in your AI
Run your first red team. Get a vulnerability report with reproduction steps and recommended fixes.
Book a demo ->