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:novee-gym: Elite AI hackers aren’t born. They’re trained.

Step into the gym at Black Hat 2026.

Novee vs. Terra

With a human pentester required in the loop, penetration testing can’t scale to match the demands of modern attacks.

Terra requires a human pentester in the loop, which means it can’t scale to match the demand of continuous Offensive Security. Novee is built for fully autonomous AI penetration testing – see why the distinction matters.

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Chosen by teams that take attackers seriously

Novee vs. Terra at a glance

Challenges with Terra

Terra excels at amplifying the human pentester, putting them in command of a suite of AI agents. But that means Terra requires a human in the loop for key stages of pentesting, limiting speed and scalability.

Challenges with Terra:

  • Requires a pentester to operate.

    Terra gives pentesters direct command over AI agents, with key decisioning kept with the human operator. The platform runs human-led engagements, so continuous coverage stays tied to operator availability rather than running on its own.
  • Doesn’t scale.

    Because every engagement is human-directed, broader or more frequent testing means more pentester hours, and pricing scales with that effort instead of a fixed per-asset cost, making continuous, portfolio-wide coverage harder to sustain.
  • No proprietary offensive model.

    Terra orchestrates AI agents but doesn't describe a proprietary offensive model of its own.
  • Findings and fixes routed through people.

    Validation keeps a pentester in the loop, and the deliverable is a signed report rather than a runnable PoC. Remediation guidance is written for the pentester to interpret and apply. For continuous testing, that human step adds latency and caps throughput.

Why Novee for Continuous Offensive Testing

Continuous offensive testing across a portfolio demands a flexible platform that both scales human pentesters and allows them to generate valuable, actionable findings without direct intervention.

What a full AI pentesting platform like Novee delivers:

  • Autonomous execution at portfolio scale.

    Novee can scale your best pentesters while expanding coverage and speed, but since it runs without a pentester governing it, that means no signing off on reports and no manually commanding agents. It starts from just a domain: no onboarding, no source code, no operator. Coverage scales with your environment, not your headcount.
  • A proprietary offensive AI stack.

    Novee post-trained its own offensive reasoning model on real attacker tradecraft, and owns and operates its own proprietary harness: a scaffold for that model. Novee continuously orchestrates the model with best-in-class frontier models, selecting the right one for each stage.
  • Autonomous validation, runnable evidence.

    Every finding runs through three independent agents: one exploits, a second re-exploits blind with no shared context, and a third validates independently, introducing deterministic checks where applicable. Each finding ships with a working exploit, replication steps, and a PoC script.
  • Closed-loop, stack-specific remediation.

    Guidance is generated specific to your WAF, backend, and codebase. Automatic retesting confirms the fix held and flags new risk the change may have introduced.
  • Built for continuous workflows.

    Native CI/CD and change-triggered testing fire the moment code ships, with context that compounds every cycle so testing gets more targeted over time.
  • Predictable per-asset pricing.

    Depth and frequency don't cost extra and don't scale with operator time, so continuous coverage never gets rationed against a budget.

Novee vs. Terra Across Key Areas

Capability Novee AI Pentesting Terra
Operating model

Human-operated by design. Terra gives pentesters direct command over AI agents, with key decisioning kept with the operator.

Offensive capability

Orchestrates AI agents under pentester direction; no proprietary offensive model described.

Validation & evidence

Agentic AI plus human oversight, with the pentester in the validation loop; delivers pentester-signed, audit-ready reports. No independent multi-agent blind validation or runnable PoC scripts described.

Remediation

Guidance designed to be interpreted and applied by the directing pentester; auto-retest supported.

Pricing

No fixed price; coverage scales with operator effort, so more applications means more pentester time.

Workflows and integrations

No CI/CD integration described; AWS partnership confirmed, no named ticketing or CI/CD integrations on the site.

Continuous, change-triggered testing

Continuous and change-based. Tests and validates on meaningful production changes, operated through the pentester-in-command model.

Application context

Agents learn in-step with your context and code, onboarded once to avoid constant rescoping; persistence within an engagement, with no cross-assessment compounding.

Coverage

Web applications, internal applications, network infrastructure, and AI red teaming.

What security leaders say

“As the leading agentic orchestration platform for the enterprise, data isolation between our customers is non-negotiable. We need to prove that continuously, not once a year. Novee adapted to our multi-tenant SaaS product within days.”

Scott Roberts
CISO
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“Our pen tests took weeks and consistently missed critical issues. Novee found them immediately and gave us instant remediation guidance. It showed us what we'd been missing.”

John Barrow
CISO

"Traditional DAST produced either zero or irrelevant results. We needed something that could identify complex vulnerabilities like server-side request forgery. Novee consistently surfaces findings we simply weren't seeing before."

Robert Kugler
Head of Security, IT & Compliance

“Novee rethinks penetration testing for how attacks actually happen today. Continuous, attacker-level validation that proves what’s exploitable and shows teams exactly how to fix it is a meaningful shift for modern security programs.”

Troy Wilkinson
Former Fortune 500 CISO
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"The hardest vulnerabilities for us to catch aren’t misconfigurations or known patterns. They’re business logic issues that only show up when someone understands how the application is supposed to work. That’s exactly the gap Novee closes."

Tamir Ronen
CISO, HiBob

"We had EASM tools and manual pentests that produced mostly noise. Novee came in black-box with zero credentials and within days found dozens of real vulnerabilities we could actually fix."

Itzik Menashe
CISO, Global VP IT InfoSec & productivity

“As an AI researcher, what stood out about Novee is that they built a proprietary offensive AI model designed to think like an attacker, rather than wrapping generic LLMs. That matters for enterprise-grade results.”

Tal Shapira
PhD, CTO

“This was by far the deepest and fastest security assessment we’ve had. Novee uncovered issues across our web and mobile applications that had gone undetected before, and the level of depth was unlike anything we’d seen from other vendors.”

Amir Tito
CISO

“We had urgent compliance need and we couldn’t wait weeks for DAST findings, an external exposure audit, and an in-depth pentest report. Instead Novee came in and delivered immediate value with their AI pentesting platform; with their findings, we closed our gaps and quickly met the criteria we needed for certification.”

Ron Reiter
CTO

"Before Novee, we were getting a snapshot once a year. Now we have continuous coverage across our application portfolio, we're already finding things that prior manual pentests missed completely, and I have real confidence that our security posture reflects what's actually in our environment."

Abhijeet Patkar
Cyber Security Manager

The Novee Advantages

The Novee Advantage for Autonomous, Continuous Offensive Security Testing

Terra's approach:

A human pentester is in command. Built for pentesters to direct AI agents, and Terra keeps key decisions with the operator by design. For teams that want a skilled pentester driving each engagement, that's the point, and it makes them much faster.

Novee's approach:

The platform is designed to help pentesters scale, but it operates the engagement. Novee maps, reasons, exploits, validates, and guides remediation autonomously, starting from a domain with no operator. For continuous coverage of a whole portfolio, that's the structural difference: testing that doesn't have to be staffed or scheduled can actually run continuously, everywhere, as things change.

The Novee Advantage for a Purpose-Built Offensive Security System

Terra's approach:

Terra orchestrates AI agents, but does not maintain a proprietary offensive model for them. The offensive direction comes substantially from the pentester operating the platform.

Novee's approach:

Novee's offensive capability is built into the platform. Its proprietary offensive reasoning model, trained on real attacker tradecraft and orchestrated with frontier models per task, is what lets the platform reason and exploit like an attacker without a human steering it. It’s a combination of harness and proprietary model, enabling Novee to find 2.5x more vulnerabilities than frontier models running on open-source harnesses.

The Novee Advantage for Validation

Terra's approach:

Terra validates each signal to confirm exploitability, combining agentic AI with human oversight and keeping the pentester in the loop, then delivers a pentester-signed, audit-ready report.

Novee's approach:

Novee validates autonomously: three independent agents (one re-exploiting blind) plus deterministic checks, with no human in the loop to gate throughput. Every finding arrives proven, with a working exploit, replication steps, and a PoC script, so validation keeps pace with continuous testing rather than waiting on operator time.

The Novee Advantage for Remediation

Terra's approach:

Terra auto-retests after fixes, with remediation guidance intended for the directing pentester to interpret and apply.

Novee's approach:

Because the Asset Intelligence Model holds your architecture and stack, Novee generates remediation specific to your WAF, backend, and codebase, then automatically retests to confirm the fix held and checks for new risk, thereby finding, proving, fixing, and verifying in one continuous loop, autonomously.