AI detection and response (AIDR)
Agents act. Dash knows why.
Dash watches the whole agentic session and compares every action with the user’s intent. When an agent drifts, gets steered or reaches for something it shouldn’t, Dash stops it before impact.
The challenge
Harmless steps, harmful chains
A web fetch, a file read and a shell command each look harmless. Chained together in one session, they can be a secret exfiltration. Tools that inspect one prompt or one event at a time miss the attack.
Prompt injection and steering
A poisoned page or file turns a helpful agent against you.
Data leaving the boundary
Secrets, PII and source code passed to tools, models and MCP servers.
How Dash solves it
How Dash detects and responds
01
CAPTURE
Full session capture
Inputs, reasoning, tool calls and commands, attributed to a human or agent actor.
02
INTENT
Intent analysis
What did the user ask for, and does this action serve it?
03
DETECT
Behavioral detection
Prompt injection, agent steering, exfiltration chains and scope violations.
04
ENRICH
Context enrichment
Identity, endpoint and data signals from your existing stack.
05
RESPOND
Inline response
Block, suspend the session, or require human or Dash Agent approval.
Security outcomes
What teams achieve with Dash
Faster response
Up to 95% faster incident response in Dash testing.
Leaks stopped
Block the action or suspend the session before data leaves.
Your SOC in the loop
Send the full session context to your SIEM and DLP.
Proof
Why teams trust Dash
Agent Steering: When the Attacker Uses Your Agent Against You
→
Riddle Me This: How a Coding Agent Solved Its Way to My SSH Keys
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“We can have a conversation with this data, and we can connect this data to our broader security operations.”
US technology company