The market has answers. They don't work for autonomous agents.
The Illusion of Securing Agents
AI Gateways add latency,
not protection.
Autonomous agents operate across MCP calls, local file reads, and tool calls. Gateways cannot see any of that, and add latency for the traffic they do intercept.
Sandboxes break the moment agents evolve.
LLM Guardrails are suggestions, not enforcement.
Identity Security, PAM, and NHI were not built for agent runtime.
EDR cannot see the agentic layer.
AI Governance platforms are auditors, not defenders.
The Tenet Way
AI agents are the new layer between humans and systems. Autonomous, privileged, and already attacking each other in production. Security teams have no defense built for how agents run. Until now.
01
No proxies.
No gateways. No latency
Deployed in hours.
02
Agent-Side Simulation (patent pending)
03
Threat intelligence built on production reality
Trained on millions of live agentic sessions across 1,000+ unique agent profiles. 100+ detectors, updated continuously from Tenet’s Threat Lab
and global Honeypot Network.
04
Sees the full agentic layer
treats as a black box.
05
Built by the team that confirmed the threat in production
Barak and Nevo led Cisco’s AI Defense research team before founding Tenet. Barak is an Israel Defense Prize recipient. Both have spoken at industry conferences including DEFCON. They did not pivot into AI security. They built it from scratch.
Battle-Tested:
From 0 to 5,000,000+ Agentic Sessions




started with 2 autonomous agents in production. With Tenet, they expanded to 20+ agents serving over 24 million users. Tenet blocked real attacks along the way, including agents manipulated to leak internal data, before any customer was affected.
“Tenet gave us the confidence to go from 2 AI agents to 20 in six months – serving 24 million users. They stopped real attacks along the way. Without that, we’d still be stuck at 2.”
Head of Information Security @ $1Bn+ U.S. Legal Institution
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