Agents change fast, security can’t keep up
Every prompt, model, and tool change is a new surface. By the time security signs off, the agent has already moved on.
For Developers
Secure the agents you ship, without rewriting them.
Drop Averta in at the SDK, proxy, or gateway. Inline classification, tool policies, and audit across every model and framework you run.
Book a demo
Trusted by teams securing AI in production
What gets in the way when you secure agents in production.
Every customer-facing and internal AI agent fails in the same predictable ways. The attack surface is the same wherever they run.
Bolted-on guardrails fight your stack
Heavy filters, separate gateways, and bespoke rules slow agents down and lock you into one model or framework.
Policy in prompts does not survive a refactor
Rules buried in system prompts disappear in PRs, drift between agents, and break the moment you change models.
Integration
SDK
wrap your agent calls
Proxy
route at the edge
Gateway
govern tool traffic
Integrate at the layer that fits, no rearchitecting.
Integration model
Ship guardrails without rewriting your agents.
SDK, proxy, or gateway. Drop Averta in at the layer that fits your architecture and keep moving, no rearchitecting and no agent rewrites.
Compatibility
Models
OpenAI, Anthropic, Gemini, Mistral
Frameworks
LangChain, Vercel AI SDK, LlamaIndex
Runtimes
Python, JavaScript
Independent of model and framework, your surface never changes.
Vendor neutrality
Swap models without resetting your security posture.
Averta sits at the execution boundary, independent of model, framework, and copilot vendor. Upgrade models or move providers without re-doing your guardrails.
policies.ts · versioned
tools.allow('search')Allow
tools.escalate('refund')Escalate
tools.block('db.write')Block
Defined in code, reviewed in PRs, same on every request.
Policy framework
Pull policy out of prompts, into something you can debug.
Define rules in the Averta dashboard or via API and attach them to your agents. Reviewable in version control, debuggable like the rest of your stack, and the same on every request.
OpenAI, Anthropic, Google, Mistral, open-source, your own.
OpenAI
Anthropic
Gemini
Mistral
BYO
Compatible with what you already run.
Agentic AI security at every layer of AI execution. Averta OS protects from input analysis to policy enforcement to runtime security.
Book a demoBuilt for enterprise teams.
Cloud, private VPC, embedded SDK, or gateway integration. Run Averta where your data, policies, and auditors need it.
Cloud (SaaS)
Fully managed by Averta. Fastest path to production, no infrastructure to run.
Private / VPC
Deploy in your own environment, so data never leaves your boundary.
Embedded SDK & Proxy
Drop Averta into your stack at the SDK or proxy layer, wherever your agents run.
Gateway Integration
Route agent traffic through the gateway, so policy and audit apply at the edge.
Built for the execution path.
Classification has to be fast, precise, and consistent. The engine is measured against the bar production agents actually need.
100%
Tool calls evaluated
On adversarial and benign traffic, evaluated against held-out attack corpora.
<200ms
Added latency
Inline classification, on the request path, without batching tricks.
100%
Action coverage
Every prompt, every tool call, every output classified, with no sampling.
1
Versioned source of truth
Actions without a confident decision are escalated or blocked, never silently allowed.
Powering safe AI execution at leading teams.
Cyfrin secures its production AI agents with Averta.
Book a demo“Averta gave our agents enforceable boundaries for the dev environment, so instructions like ‘don’t read .env files’ became policy instead of polite suggestions.”
Mikhail Karan
Head of Engineering
Learn from the team shaping AI security.
Research, guidance, and frameworks for security and engineering teams deploying AI agents in production.
Developers, specifics
What developers and engineers ask when they evaluate AI guardrails against their own production traffic.
SDK, API, or gateway, whichever fits your stack. No agent rewrites.
Averta sits at the execution boundary, independent of model, framework, and IDE or copilot vendor.
Inline checks in milliseconds, in the IDE, in CI, and in production.
Define rules in the Averta dashboard or via API and attach them to your agents. Reviewable, debuggable, and the same on every request.
See Averta OS in action
Book a demo and see how Averta OS secures your AI agents from input to execution.
Book a demo