XBOW
Best if you: Teams prioritizing autonomous web and API exploitation with working exploit proof and public performance claims.
Not if you: Teams looking for a public, dedicated model-R&D and AI/LLM/MCP research narrative from the same vendor.
Category guide / ACOST + CTEM
Agentic offensive security for the full cyber frontier.
Teams evaluating FailSafe alongside XBOW, Horizon3.ai, Pentera, and Terra Security are comparing more than scanners. They are choosing how to discover, validate, prioritize, and re-test risk as software and AI systems change.
FailSafe is a cyber frontier lab building Agentic Continuous Offensive Security Testing (ACOST) systems: GlassBreak cyber-model R&D, SWARM agentic execution, CTEM-ready evidence, public benchmarks, and human-led security research.
ACOST
Agentic testing that adapts to evidence
CTEM
Proven exposure from discovery to re-test
Frontier lab
GlassBreak models, benchmarks, research
Market context
What teams are actually comparing.
The companies below use different product language, but the category is converging around autonomous execution, exploit or attack-path proof, continuous validation, and operational remediation. The descriptions summarize their public positioning; visit each company for its current product details.
| Platform | Public positioning | Where FailSafe differs |
|---|---|---|
| FailSafe | ACOST + CTEM for applications, APIs, infrastructure, and AI systems, backed by a cyber frontier lab. | GlassBreak cyber models, SWARM, public benchmark evidence, AI/LLM/MCP testing, and human-led research in one operating system. |
| XBOW | Autonomous hackers that discover, chain, exploit, and independently prove vulnerabilities. | FailSafe shares the exploit-verification focus, while extending the category into AI/LLM/MCP security, GlassBreak cyber-model R&D, public benchmarks, and CTEM workflows. |
| Horizon3.ai / NodeZero | Autonomous pentesting built around attack-path discovery, remediation guidance, and quick verification. | FailSafe addresses the same find-fix-verify motion through ACOST and CTEM, with a primary emphasis on AI systems, model-and-runtime risk, and a cyber research lab behind the product. |
| Pentera | Automated security validation that operationalizes CTEM through validated impact, prioritization, remediation, and revalidation. | FailSafe uses the same evidence-backed exposure-reduction language, differentiated by agentic security testing across AI systems and by in-house tuned cyber models and benchmark research. |
| Terra Security | Continuous agentic offensive security across web applications, networks, and AI red teaming with human oversight. | FailSafe is built around the same continuous, governed direction, with an additional frontier-lab identity spanning GlassBreak model R&D, SWARM, AI security research, and public evidence. |
Buyer's comparison
Compare the operating model, not just the label.
This matrix records what each vendor emphasizes on the referenced public pages. “Not stated” means the source page did not make that capability a clear public claim; it is not a claim that the capability does not exist.
| Platform | Continuous? | Proof | AI / LLM / MCP | Model R&D | Public evidence | CTEM | Deployment / pricing |
|---|---|---|---|---|---|---|---|
| FailSafe | Yes — SWARM ACOST | Exploit and attack-path validation | AI / LLM / MCP testing | GlassBreak R&D | CVE-Bench, AttackBench, EVMbench | ACOST + CTEM workflow | Scoped program; contact sales |
| XBOW | Yes — public positioning | Working exploit proof | Not stated on referenced page | Not stated on referenced page | Public proof claims | Exposure reduction language | SaaS / API; contact sales |
| Horizon3.ai / NodeZero | Yes — recurring tests | Attack-path and exploitation proof | Not the primary referenced message | Not stated on referenced page | Not stated on referenced page | Find-fix-verify loop | SaaS / runners; contact sales |
| Pentera | Yes — validation platform | Validated impact | Not stated on referenced page | Not stated on referenced page | Not stated on referenced page | Explicit CTEM positioning | Platform; contact sales |
| Terra Security | Yes — continuous agentic testing | Validated offensive testing | AI red teaming and MCPs | Not stated on referenced page | Not stated on referenced page | Discover / validate / remediate | Platform; contact sales |
Pricing and commercial terms are not listed on the referenced public pages; contact each vendor for a current quote and deployment details.
Horizon3.ai / NodeZero
Best if you: Organizations wanting broad recurring infrastructure, identity, cloud, and attack-path validation.
Not if you: Teams whose primary evaluation criterion is a cyber-model R&D program or AI-system-specific research surface.
Pentera
Best if you: Security programs centered on automated security validation and established CTEM exposure-reduction workflows.
Not if you: Teams seeking an AI-native offensive research lab with public model and benchmark artifacts at the center.
Terra Security
Best if you: Teams seeking a continuous agentic platform spanning web, external network, internal network, and AI red teaming.
Not if you: Teams that specifically want FailSafe's GlassBreak, benchmark, and public security-research stack.
Why FailSafe
A research loop, not just an execution engine.
Test what can act: LLM applications, agents, MCP servers, tools, memory, data, APIs, identity, and cloud.
Prove what matters: move from suspected weakness to reproducible evidence and an explainable attack path.
Close the loop: prioritize by validated exposure, guide remediation, and re-test as code and models change.
Publish the method: use benchmarks, model cards, research, and safe disclosures to make security claims inspectable.
Operating model
FailSafe operationalizes CTEM by continuously discovering, validating, prioritizing, and re-testing exploitable exposure.
GlassBreak cyber-model R&D, SWARM agentic execution, public benchmark evidence, and human-led security research work together as one offensive security system. Start with a focused assessment or design a continuous program around your attack surface, release cadence, and risk model.
Talk to FailSafeProof system
Security claims you can check.
Versioned benchmarks, public traces, and coordinated disclosures make our work inspectable.
As of August 2026, FailSafe SWARM holds the highest reported score on CVE-Bench v2.1.0: 62.5% zero-day and 70% one-day at pass@1 (28 of 40 targets), graded by a deterministic oracle with results published under MIT.
Check the evidenceFailSafe's AttackBench, developed with NEAR, ran 624 hostile exchanges between an attacker model and defending AI agents across three runtimes.
Check the evidenceFailSafe has disclosed 240+ vulnerabilities across 101 coordinated reports, including findings at Deutsche Bank, MUFG, Zurich Insurance, and Vercel.
Check the evidenceQuestions & answers
Frequently asked questions
How FailSafe compares with autonomous pentesting and security validation platforms.
FailSafe is an alternative for teams that want autonomous exploit validation plus dedicated testing for LLM applications, AI agents, MCP servers, RAG pipelines, and the infrastructure around them. FailSafe combines SWARM execution with GlassBreak cyber-model R&D and human-led research.
Horizon3.ai positions NodeZero around autonomous pentesting and attack-path validation. FailSafe applies a similar find-fix-verify operating loop through ACOST and CTEM, while emphasizing AI/LLM security, model-and-runtime testing, public benchmark evidence, and in-house cyber-model research.
Pentera is positioned around automated security validation and CTEM-driven exposure reduction. FailSafe also prioritizes verified, actionable exposure, but adds agentic testing for AI systems and a cyber frontier lab program for tuned cybersecurity models and public security research.
Terra Security is positioned around continuous agentic offensive security across web, network, and AI attack surfaces with human oversight. FailSafe shares the continuous and governed model, with a stronger public emphasis on cyber-model R&D, benchmark methodology, and AI/LLM/MCP security evidence.
ACOST means Agentic Continuous Offensive Security Testing. It is FailSafe's category for continuously running governed AI security agents that discover, test, validate, explain, and re-test attack paths across changing software systems.
No. FailSafe's ACOST approach uses agentic exploration and real attack paths to validate whether a weakness matters. CTEM workflows then prioritize proven exposure, support remediation, and re-test changes instead of stopping at a severity score or a static list of suspected issues.