CISO Tribune

Vendor comparison · 2 companies

AISLE vs SplxAI

AISLE sells a platform that finds, fixes, and verifies vulnerabilities in source code. SplxAI, which uses the name SPLX, sells scalable red teaming, real-time threat protection, and automated AI compliance and governance for AI systems. CISO Tribune files both under Static application security testing. This page sets the two records side by side: what each sells, where it is based, who owns and funds it, the customers it names and its recent news, each fact numbered to its source.

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  • AISLE
  • SplxAI
AISLE vs SplxAI: Products, Customers and Funding Compared
AISLEAISLE sells a platform that finds, fixes, and verifies vulnerabilities in source code.aisle.comSplxAISplxAI, which uses the name SPLX, sells scalable red teaming, real-time threat protection, and automated AI compliance and governance for AI systems.splx.ai
What it sells
  • AISLE Snapshot[2][10]AISLE Snapshot is a one-time AI-native security audit.
  • Agentic Radar[1][5]An open-source security scanner for agentic AI.
Categories
Headquarters
Not stated on its pagesNot stated on its pages
Founded
Not stated on its pages2023[2]
Ownership and funding
Not stated on its pagesOwned by Zscaler since 2025[3]
Named customers
Not stated on its pagesNot stated on its pages
Recent news
  • November 10, 2026AISLE announced it has been formally acquired by Cohere and will serve customers as Cohere Cyber from that day.[11]
Not stated on its pages
G2 and Gartner Peer Insights
  • G2: listed, seen November 10, 2026[12]
  • Gartner Peer Insights: Not stated on its pages
  • G2: Not stated on its pages
  • Gartner Peer Insights: Not stated on its pages
Who it fits
AISLE describes a managed option for teams whose code classification allows external processing by frontier LLMs. AISLE describes a cloud-account option for organizations that want full control without the infrastructure overhead. AISLE describes an option on the customer's own GPUs for teams that need full authority over compute, storage, and access.From its own pages, the company sells mainly to enterprises, saying the platform is built for enterprise scalability. Its asset management messaging speaks to organisations that want visibility and control over the AI assets used in the organisation. Its runtime messaging addresses teams with AI systems in production. Its governance messaging speaks to teams working with global AI security frameworks and internal risk policies.
Last verified
October 16, 2026September 30, 2026

Where they overlap

  • AISLE and SplxAI are both filed under Static application security testing.

Where they differ, field by field

  • AISLE's primary category is Static application security testing; SplxAI's is AI model and agent security.
  • SplxAI is also filed under AI governance and AI firewalls and guardrails.
  • AISLE lists AISLE Snapshot. SplxAI lists Agentic Radar.
  • SplxAI was founded in 2023.
  • SplxAI is owned by Zscaler, since 2025.

What it sells: AISLE

What AISLE Snapshot does[2][10]
An enterprise ran a one-time AI-native security audit, AISLE Snapshot. A global network infra enterprise could not send its source code to an AI security vendor.

Questions about AISLE and SplxAI

What do AISLE and SplxAI sell?
AISLE sells AISLE Snapshot. SplxAI sells Agentic Radar.
Are AISLE and SplxAI in the same category?
They share Static application security testing. AISLE's primary category is Static application security testing and SplxAI's is AI model and agent security.
When were AISLE and SplxAI founded?
SplxAI was founded in 2023.
Who owns AISLE and SplxAI?
SplxAI is owned by Zscaler, since 2025.
Who are AISLE and SplxAI sold to?
AISLE describes a managed option for teams whose code classification allows external processing by frontier LLMs. From its own pages, the company sells mainly to enterprises, saying the platform is built for enterprise scalability.
What have AISLE and SplxAI announced recently?
November 10, 2026: AISLE announced it has been formally acquired by Cohere and will serve customers as Cohere Cyber from that day.

About AISLE

AISLE sells a platform that finds, fixes, and verifies vulnerabilities in source code. AISLE continuously finds, verifies, and fixes vulnerabilities in code, and it can run in any deployment environment with the AI of the customer's choice. Cohere has formally acquired AISLE, and customers are served as Cohere Cyber.[5]

AISLE uses thousands of agents that reason in parallel across a codebase, its dependencies, and its architecture. AISLE connects to GitHub, GitLab, Bitbucket, and Azure DevOps, then reads the branch the customer nominates, maps the stack and the build system, and identifies the dependencies. AISLE analyzes source code, dependencies and licenses, secrets, and IaC configs. AISLE reasons through code, looking at how data moves through it, what is reachable, and what an attacker could exploit. AISLE combines static reasoning with dynamic analysis via AI-guided fuzzing. AI-native analysis in AISLE covers Python, JavaScript, TypeScript, Java, C#, C, C++, Rust, Go, PHP, Kotlin, Swift, Ruby, and more.[5][6]

For dependencies, AISLE finds vulnerabilities, assesses whether the dependencies actually get used and exposed, and flags dependencies that violate license policies. AISLE analyzes credentials, keys, and tokens in repositories. AISLE reviews Terraform, CloudFormation, Kubernetes, and Dockerfile configs to find misconfigurations and propose fixes before deployment. Customers describe their trust boundaries, intent, and policies in plain English.[6]

AISLE ranks every issue by exploitability, reachability, and impact, not just CVSS. AISLE checks every finding with multiple, independent agents to verify exploitability. AISLE assesses findings based on a customer's threat model and the feedback the customer gives it. Customers can chat with the platform to inspect the evidence for each prioritization decision. A customer who disagrees with a triage decision can explain why and send the issue back through triage, and AISLE re-assesses it and applies that reasoning to future prioritization across the repository. AISLE ingests and prioritizes issues from third-party scanners in the same workflow as AISLE findings. Customers tell the platform what to do with low, medium, high, and critical severity findings.[7]

AISLE builds the repository in an isolated container, applies the patch, and runs the tests against it. AISLE uses both CI and agent-generated sandboxed tests to verify each fix it generates. AISLE does not merge fixes on its own, and it opens the pull request and waits for human approval. AISLE fixes code and dependency findings, and it provides remediation guidance for secrets, license policy, and infrastructure-as-code findings. AISLE bumps a dependency to the fixed version and edits code to adapt to any API changes. AISLE explains each change in natural language and delivers its fixes as pull requests. AISLE resolves findings with a round of confirmation analysis that runs automatically after a fix is merged. Customers decide how far AISLE goes on its own, per severity and per repository.[8]

AISLE does not train on customer code. AISLE builds context at the repository, product, or codebase level, updates it with every run, and reads it before analyzing new findings. Customers can dismiss a finding and explain why in natural language, and AISLE turns the reasons into guidance. Everything AISLE learns about a repository is visible, editable, and dated. Customers can accept a risk for a given amount of time, and AISLE resurfaces it when the time is up.[9]

AISLE can run the infrastructure while the customer connects its repositories, for teams whose code classification allows external processing by frontier LLMs. AISLE can run inside a customer's cloud account using the customer's choice of frontier and custom LLMs, with deployment artifacts delivered in push or pull mode into a local registry. AISLE can run on the customer's GPUs, using custom models recommended by AISLE, plus optional threat and dependency intel pulled from AISLE servers. AISLE can run disconnected using fine-tuned security models, with no network path in or out. AISLE provides single-tenant cloud deployments in the region of the customer's choice. AISLE maintains a zero data-retention policy with every model provider, and none of a customer's data is used for training. AISLE is not bound to a single model vendor or a fixed list of languages.[5][6]

The OpenSSL Foundation has AISLE analyze every pull request. The curl project, maintained by a full-time team of one, has found and fixed 35 CVEs and 160 bugs with AISLE. An enterprise ran a one-time AI-native security audit, AISLE Snapshot. A global network infra enterprise could not send its source code to an AI security vendor.[1][3][5][9][10]

AISLE on the record

Sources

AISLE full record

  1. [1]Aisle named cve numbering authority formalizing commitment to transparent vulnerability disclosureAISLE · aisle.com · published July 22, 2026 · Tier A
  2. [2]aisle.comAISLE · aisle.com · undated page, accessed October 16, 2026 · Tier A
  3. [3]Limited use termsAISLE · aisle.com · published January 29, 2026 · Tier A
  4. [4]AISLE | AI-Native Vulnerability ManagementAISLE · undated page, accessed November 10, 2026 · Tier A
  5. [5]AISLE Platform | Autonomous AI to Find & Fix VulnerabilitiesAISLE · undated page, accessed November 10, 2026 · Tier A
  6. [6]Vulnerability Discovery with AI-Native Code Analysis | AISLEAISLE · undated page, accessed November 10, 2026 · Tier A
  7. [7]Vulnerability Triage Prioritized by Real-World Risk | AISLEAISLE · undated page, accessed November 10, 2026 · Tier A
  8. [8]Autonomous Vulnerability Remediation, Verified | AISLEAISLE · undated page, accessed November 10, 2026 · Tier A
  9. [9]Vulnerability Management That Learns From You | AISLEAISLE · undated page, accessed November 10, 2026 · Tier A
  10. [10]AISLE Customers | Case Studies & ResultsAISLE · undated page, accessed November 10, 2026 · Tier A
  11. [11]AISLE Press ReleasesAISLE · published November 10, 2026 · Tier A
  12. [12]Aisle Planner Reviews 2026: Details, Pricing, & FeaturesG2 · undated page, accessed November 10, 2026 · Tier C

SplxAI full record

  1. [1]splx.aiSplxAI · splx.ai · undated page, accessed September 30, 2026 · Tier A
  2. [2]SplxAI Closes $7M Seed Funding Round to Help Organizations Secure Agentic AI SystemsBusiness Wire · businesswire.com · published March 26, 2025 · Tier A
  3. [3]Zscaler acquires splxSplxAI · splx.ai · published November 3, 2025 · Tier A
  4. [4]SPLX Platform | End-to-End Security for the AI LifecycleSPLX · undated page, accessed October 31, 2026 · Tier A
  5. [5]SPLX | End-to-End Security for AISPLX · undated page, accessed October 31, 2026 · Tier A
  6. [6]AI Governance & Compliance | Stay Aligned with AI PoliciesSPLX · undated page, accessed October 31, 2026 · Tier A
  7. [7]Remediation | Harden your LLM system prompts to mitigate risksSPLX · undated page, accessed October 31, 2026 · Tier A
  8. [8]AI Asset Management | Unified Inventory & Security for Enterprise AISPLX · undated page, accessed October 31, 2026 · Tier A
  9. [9]Probe | Automated & Continuous Red Teaming for Conversational AISPLX · undated page, accessed October 31, 2026 · Tier A
  10. [10]AI Runtime Protection | Real-Time AI Threat DetectionSPLX · undated page, accessed October 31, 2026 · Tier A
  11. [11]SplxAI | The future of automated AI Red TeamingSPLX · undated page, accessed November 10, 2026 · Tier A
  12. [12]Monitoring | Analyze LLM Logs to proactively identify malicious user activitySPLX · undated page, accessed November 10, 2026 · Tier A
  13. [13]LLM Benchmarks | Compare and Evaluate the Security of Leading AI ModelsSPLX · undated page, accessed November 10, 2026 · Tier A
  14. [14]Security and TrustSPLX · undated page, accessed November 10, 2026 · Tier A
  15. [15]Pricing & PlansSPLX · undated page, accessed November 10, 2026 · Tier A

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