CISO Tribune

Vendor comparison · 2 companies

AISLE vs Data Theorem

AISLE sells a platform that finds, fixes, and verifies vulnerabilities in source code. Data Theorem sells application security products that secure code, mobile apps, APIs and cloud. 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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Up to four companies side by side.

  • AISLE
  • Data Theorem
AISLE vs Data Theorem: Products, Customers and Funding Compared
AISLEAISLE sells a platform that finds, fixes, and verifies vulnerabilities in source code.aisle.comData TheoremData Theorem sells application security products that secure code, mobile apps, APIs and cloud.datatheorem.com
What it sells
  • AISLE Snapshot[2][10]AISLE Snapshot is a one-time AI-native security audit.
  • Mobile Secure[2][6][8]Automated security and privacy testing for every iOS and Android release.
  • Mobile Protect[2][3][7][13]Mobile Protect defends the app on the device.
  • Code SAST Secure[3][5][8][14][16]SAST, SCA and SBOM across every repo, in more than 20 languages.
  • API Secure[2][5][8][13][15]API Secure discovers every REST, GraphQL, gRPC, SOAP and serverless API.
  • Cloud Secure[2][5][8][16]Cloud Secure extends API Secure into the cloud your APIs and apps run on.
Categories
Headquarters
Not stated on its pagesPalo Alto, United States[1]
Founded
Not stated on its pagesNot stated on its pages
Ownership and funding
Not stated on its pagesNot stated on its pages
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]
  • June 30, 2026Data Theorem launched three AI security capabilities that together form a closed-loop platform covering exploit discovery, remediation, and runtime defense.[17]
G2 and Gartner Peer Insights
  • G2: listed, seen November 10, 2026[12]
  • Gartner Peer Insights: Not stated on its pages
  • G2: listed, seen November 3, 2026[10]
  • 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 to teams that need to find every app, API and cloud resource, including the ones nobody told security about. It addresses teams that want to catch issues in code and the pipeline and hand auditors reports built from real scans. Game publishers are addressed with Mobile Protect for Gaming, which stops cheats, tampering and clones in the game.
Last verified
October 16, 2026September 27, 2026

Where they overlap

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

Where they differ, field by field

  • AISLE's primary category is Static application security testing; Data Theorem's is API security.
  • Data Theorem is also filed under Mobile security and Cloud-native application protection (CNAPP).
  • AISLE lists AISLE Snapshot. Data Theorem lists Mobile Secure, Mobile Protect, Code SAST Secure, API Secure and Cloud Secure.
  • Data Theorem is headquartered in Palo Alto, United States.

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.

What it sells: Data Theorem

What Mobile Secure does[2][6][8]
Mobile Secure provides automated security and privacy testing for every iOS and Android release. Mobile Secure signs in to your apps and tests every screen of every release.
What Mobile Protect does[2][3][7][13]
Mobile Protect blocks hooking frameworks, debuggers and re-signed copies inside the app. Mobile Protect scores every session and flags likely fraud to your team. Mobile Protect includes SSL pinning built on TrustKit.
What Code SAST Secure does[3][5][8][14][16]
Code SAST Secure scans your code and dependencies. Code SAST Secure secures your code, open source libraries and vendor SBOMs in one place. Code SAST Secure catches infrastructure as code misconfigurations in the repository, before they ship.
What API Secure does[2][5][8][13][15]
API Secure scores every operation on its own across authentication. API Secure probes your APIs from outside, then signs in as two different users. API Secure spots the abuse and tells the WAF you already run what to block.
What Cloud Secure does[2][5][8][16]
Cloud Secure covers the resources, roles and data behind the APIs. Cloud Secure runs the same IaC checks on what is deployed, and secures the containers and registry images your APIs and apps run on.

Questions about AISLE and Data Theorem

What do AISLE and Data Theorem sell?
AISLE sells AISLE Snapshot. Data Theorem sells Mobile Secure, Mobile Protect, Code SAST Secure, API Secure and Cloud Secure.
Are AISLE and Data Theorem in the same category?
They share Static application security testing. AISLE's primary category is Static application security testing and Data Theorem's is API security.
Where are AISLE and Data Theorem headquartered?
Data Theorem is headquartered in Palo Alto, United States.
Who are AISLE and Data Theorem 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 to teams that need to find every app, API and cloud resource, including the ones nobody told security about.
What have AISLE and Data Theorem announced recently?
November 10, 2026: AISLE announced it has been formally acquired by Cohere and will serve customers as Cohere Cyber from that day. June 30, 2026: Data Theorem launched three AI security capabilities that together form a closed-loop platform covering exploit discovery, remediation, and runtime defense.

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

Data Theorem full record

  1. [1]Data theorem unveils code secure fully integrated ast product with sast sca and sbom management 302269428Data Theorem via PR Newswire · prnewswire.com · published October 8, 2024 · Tier A
  2. [2]datatheorem.comData Theorem · datatheorem.com · undated page, accessed September 27, 2026 · Tier A
  3. [3]Solutions | Data TheoremData Theorem · undated page, accessed October 24, 2026 · Tier A
  4. [4]DevSecOps: Security in Every Stage, From Code to Runtime | Data TheoremData Theorem · undated page, accessed October 24, 2026 · Tier A
  5. [5]Products | Data TheoremData Theorem · undated page, accessed October 24, 2026 · Tier A
  6. [6]Mobile SecureData Theorem · undated page, accessed October 24, 2026 · Tier A
  7. [7]Mobile ProtectData Theorem · undated page, accessed October 24, 2026 · Tier A
  8. [8]Data Theorem | AppSec | API Security | Cloud SecurityData Theorem · undated page, accessed October 24, 2026 · Tier A
  9. [9]ASPM: Application Security Posture Management | Data TheoremData Theorem · undated page, accessed October 24, 2026 · Tier A
  10. [10]Data Theorem Reviews 2026: Details, Pricing, & Features | G2G2 · undated page, accessed October 24, 2026 · Tier C
  11. [11]Regulatory Compliance | Audit-Ready Reports | Data TheoremData Theorem · undated page, accessed November 3, 2026 · Tier A
  12. [12]AI-Driven Application Security (AppSec) | Data TheoremData Theorem · undated page, accessed November 3, 2026 · Tier A
  13. [13]AI Runtime Protection for Apps and APIs | Data TheoremData Theorem · undated page, accessed November 3, 2026 · Tier A
  14. [14]Code SAST Secure: SAST, SCA, SBOM and AI Auto-RemediationData Theorem · undated page, accessed November 3, 2026 · Tier A
  15. [15]API Security Testing and Runtime Protection | API SecureData Theorem · undated page, accessed November 3, 2026 · Tier A
  16. [16]Cloud Security for APIs and Cloud-Native Apps | Cloud SecureData Theorem · undated page, accessed November 3, 2026 · Tier A
  17. [17]Data Theorem Launches the Industry’s First Closed-Loop AI Security PlatformData Theorem · published June 30, 2026 · Tier A

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