AariaSec compared — named, sourced and dated

Compare

AariaSec next to the tools you are probably also evaluating.

Each entry says what the product does, in its vendor's own words where we quote them, where it is the better fit than AariaSec, and where AariaSec differs. Every quote links to the page it came from, read on September 27, 2026. This space changes monthly; if an entry is out of date, email ajithc@aariasec.com and we will correct it.

AariaSec

Us, in the same format · Independent · launching April 1, 2027

What it is: Runtime behaviour detection for AI agents. It learns what each agent normally does and flags the one that stops behaving like itself.
What it looks at: Each agent's behaviour — tool calls, egress, timing, token flow — against a baseline it learns per agent. Prompts and responses are SHA-256 hashed at capture and never stored as text.
Where it runs: On each machine — macOS, Windows and Linux — through a local proxy, with no SDK. Enterprise adds a fleet console.
Can it stop an agent: On Enterprise: one-click quarantine, a fleet kill switch, and a kernel-level scope lock for agents launched under it, which fails closed. Proxy-level containment fails open if its policy file is missing.
What it can't see: Agents that run entirely inside a SaaS platform, such as Copilot Studio or Agentforce, have no process on your machines for it to watch.
Public price: Free for up to 10 machines per organisation. Enterprise is $20 per host per month at list and $10 at the launch price for customers who sign by October 31, 2027, with every agent on the host included. Pricing →
Best fit when: You want each agent held to its own learned normal, on machines you control, with nothing stored as text.

Lakera Guard

Check Point (acquisition announced September 16, 2025) · Prompt firewall / guardrails

What it looks at: Prompts, responses and agent tool use. Its documentation describes coverage of the full agentic workflow including tool calls, tool responses, and tool descriptions.
Where it runs: As SaaS or self-hosted.
Can it stop things: Yes, when a project is in Enforce mode: detectors always detect attacks, but flag only in Enforce mode.
Public price: Not found on the pages we read.
Better fit than AariaSec when: You're building your own LLM app or agent and want content screening — prompt injection, data leakage, harmful output — as a call in the request path.
Where AariaSec differs: AariaSec is built on behaviour over time rather than on screening each message, and it hashes content at capture instead of storing it. The two are complementary: Lakera screens what goes in and out, and AariaSec catches an agent whose messages are clean but whose behaviour has changed.

Sources: Lakera Guard documentation · Check Point press release

Prompt Security

SentinelOne (acquisition announced August 5, 2025) · Prompt firewall / guardrails

What it looks at: Prompts, outputs and agent activity. SentinelOne's page offers to Block adversarial prompts and scrub sensitive outputs with a real-time AI firewall, and a searchable audit log of every agent action, decision, and enterprise system interaction.
Where it runs: Not stated on the page we read.
Can it stop things: Yes: it blocks adversarial prompts, as quoted above.
Public price: Not found on the pages we read.
Better fit than AariaSec when: The main risk is sensitive data going into GenAI tools and you want it redacted in real time, from the vendor that may already be your EDR.
Where AariaSec differs: AariaSec doesn't redact: it hashes content at capture rather than rewriting it. What it adds is a baseline learned per agent, and nothing it sees is stored as text.

Sources: SentinelOne product page · SentinelOne press release

Zenity

AI-agent security platform

What it looks at: Agent configuration and runtime behaviour. Its homepage describes examining the full execution path - including tool calls, memory access, data usage, and control flow.
Where it runs: Across SaaS agent platforms (its platform list includes Copilot Studio, Salesforce Agentforce and ChatGPT Enterprise), cloud, and developer tools: it protects Cursor, Claude Code, and GitHub Copilot - from build time to runtime.
Can it stop things: Yes. It aims to stop harmful actions before they land.
Public price: AWS Marketplace lists $130 per resource per month for observability, and $16 per million tokens per month for runtime protection.
Better fit than AariaSec when: Most of your agents live inside SaaS platforms such as Copilot Studio or Agentforce, where there is no process on your machines for AariaSec to sit beside.
Where AariaSec differs: AariaSec learns each agent's own baseline and flags drift from it, and it's priced per machine with every agent on the machine included.

Sources: Zenity homepage · Zenity on coding agents · Zenity platform coverage · AWS Marketplace listing

Noma Security

AI-agent security platform

What it looks at: Agent sessions end to end. Noma monitors the full behavioral chain of every agent session (prompts, tool calls, data access, actions).
Where it runs: It enforces policy through agent hooks, MCP gateways, AI gateways, agent SDKs, and direct APIs. It also offers AI red teaming.
Can it stop things: Yes: enforcing policies in real time, before actions are carried out.
Public price: AWS Marketplace lists the Noma Security Platform at $200,000 per 12-month contract.
Better fit than AariaSec when: You want one platform for AI inventory, posture, red teaming and runtime policy across cloud, SaaS and developer environments, and can budget a platform contract.
Where AariaSec differs: AariaSec never stores prompt text, needs no hooks, gateways or SDKs because it runs on the machine, and is priced per machine.

Sources: Noma homepage · AWS Marketplace listing

Microsoft Agent 365

Microsoft · Platform agent governance

What it is: Microsoft calls it The Control Plane for Agents: an inventory of agents with identity through Entra Agent ID, and the ability to Enforce least-privilege access by controlling which users, data, and tools or MCP servers agents can use. Defender and Purview add threat protection and data governance.
Which agents it covers: Agents published through Microsoft 365 channels and registered with an Entra Agent ID appear automatically. Agents built outside these environments will require additional steps.
Public price: $15.00 user/month, paid yearly. It is also offered with Microsoft 365 E7.
Better fit than AariaSec when: Your agents are built and published in Microsoft channels and you already buy Microsoft 365 E7, or Defender and Purview.
Where AariaSec differs: AariaSec finds agents by what they do on the machine, whoever built them and whether or not they're registered, and it watches their behaviour rather than managing identity and access. The two fit together.

Sources: Microsoft Agent 365

CrowdStrike Falcon Guardian

CrowdStrike · EDR with an AI module · announced September 1, 2026

What it looks at: Agents on the endpoint: The Falcon sensor discovers known and shadow AI agents across Windows and macOS. It Detects attacks on agents and malicious agent behavior.
Where it runs: In the Falcon sensor, with agent discovery described for Windows and macOS. CrowdStrike says protection extends from the endpoint to every surface where agents operate: cloud, SaaS, and browser.
Can it stop things: Yes. It defines which AI agents are permitted to run on managed endpoints, blocking unauthorized agents, and the Falcon AIDR page offers to Deploy containment actions to stop threats before they spread.
Public price: Not found on the pages we read.
Better fit than AariaSec when: You already run Falcon on every endpoint and want agent discovery, access control and response in the same sensor and console.
Where AariaSec differs: AariaSec needs no Falcon sensor, and it also runs on Linux, where the press release describes Guardian's agent discovery on Windows and macOS. It learns a baseline per agent: the pages we read describe discovery, access control and detection of malicious agent behaviour, and don't describe a learned per-agent baseline.

Sources: CrowdStrike press release · Falcon AIDR page

Maya

Mayagentic · In-line network control · accepting design partners

What it looks at: Network traffic, without decrypting it: Maya never decrypts your network traffic, and identifies each agent from the wire.
How policy is set: Declared by you rather than learned: Declare each agent's approved providers using the list you already filed.
Where it runs: inside your VPC, with zero agent code change, with No SDK, no sidecar, zero instrumentation.
Can it stop things: Yes. Its site positions it as an in-line kill switch for agent fleets.
Public price: Not found on the pages we read.
Better fit than AariaSec when: Your agents run as cloud workloads inside a VPC and you want in-line network enforcement with no install and nothing decrypted.
Where AariaSec differs: Maya holds each agent to what you declare; AariaSec learns what each agent normally does. Maya sits in the VPC; AariaSec runs on each machine, including developers' laptops. In its full mode AariaSec terminates TLS on the machine, with a certificate authority generated there, so it can hash content; its discover-only mode decrypts nothing. The two can sit side by side.

Sources: Mayagentic homepage · Mayagentic solutions

Evaluating any of these

Seven questions to ask every vendor here, including us.

What does it store, and can I see the schema? Our answer: SHA-256 hashes and behavioural metadata, never prompt or response text. What is stored →
What leaves my network by default, and what turns it off? Our answer: one channel, anonymous hash-only detection signatures, and one setting turns it off. Security review →
When it fails, does it fail open or closed? Our answer: the kernel scope lock fails closed; proxy-level containment fails open if its policy file is missing.
Which agents can it see: SaaS-hosted, cloud workloads, developer machines? Our answer: agents with a process on your machines, plus network-position discovery from VPC flow logs on Enterprise. Not agents that live entirely inside a SaaS platform.
Does it learn what each agent normally does, or enforce rules you write? Our answer: both. A baseline learned per agent, plus rules and policy.
Can I check its detection claims myself? Our answer: every cell of the coverage map says what does the work and on which plan, and the tour steps through real probe runs. Coverage map →
Is the price published? Our answer: yes. Pricing →

Facts were read from each vendor's own pages, and from AWS Marketplace listings for prices, on September 27, 2026. Product names are trademarks of their owners. No relationship with or endorsement by any vendor is implied.