Analysis
Claude Security now rescans code as it changes, with $25,000 a month in beta credits
1AYM is an OpenAI Select Partner.
Published . Vendor facts checked on against each vendor’s own pages, listed at the end. Plans, prices and availability change. Neither OpenAI nor Anthropic has reviewed this analysis.
The short version
Anthropic's post of 21 October changes how Claude Security scans code and tracks fixes. It also opens a beta for Claude Enterprise, with usage credits and new roles that set who on a team can do what.
- Continuous scans and fix tracking
- Claude Security now scans repositories as code changes, checks open findings against new code and marks them fixed when the fix lands. A knowledge base and an editable threat model decide what it flags.
- Credits, roles and access
- Public beta for Claude Enterprise from 21 October 2026, switched on by an admin. Each organisation gets $25,000 in usage credits a month for two months, for usage through 31 December 2026. New roles, an API, webhooks and a Claude Code connector come with it.
Claude Security now follows code changes and tracks fixes
What was announced
On 21 October 2026 Anthropic announced a new version of Claude Security, its tool that reads an organisation's code for security flaws. Anthropic says thousands of organisations have used it since its public beta began in April. By its count they have found more than a million security flaws.
The new version keeps up with code as it changes. A team creates a project, connects its repositories and picks the branch and scope for each one. The first scan is a deep one across everything in scope. After that, changes are scanned regularly, based on how risky and complex they are.
A project can hold several repositories, so problems that sit between services can be caught. Anthropic's example is a backend that trusts input the client side was supposed to validate.
Claude Security checks open findings against changed code and marks a finding fixed when the fix lands. That works whether the fix came from Claude Code or from another process. If the same flaw turns up again later, the finding reopens by itself.
Each project has a knowledge base. The team describes how the code is deployed, which security policies apply and anything a new security engineer would need to know. Claude Security also writes a threat model, a summary of how the system could be attacked, and the team can review and edit it.
Later scans use the threat model to decide what to flag. The added context helps the tool skip risks the environment already handles. Each finding gets a severity rating judged against the threat model. It also explains how an attacker could reach the flawed code, and some findings include a diagram of the attack path.
What it means for enterprises
With fix tracking, a security team can see which findings were fixed and which came back, without chasing engineers for status. Over a pilot, the share of findings that get fixed can be a useful number to take to a budget meeting.
The threat model decides what gets flagged. Claude writes its first version from the code, so someone who knows how the system runs in production should read it. A wrong assumption in it can hide a real risk or raise false alarms.
Teams whose services sit in many repositories need to decide how to group them. Services that call each other likely belong in the same project, because that is how the scan can see the gaps between them.
Before you switch it on
- Pilot repositories
- Choose two or three repositories with results from your current scanner or a recent penetration test, so the pilot has a comparison. Put services that call each other in one project.
- What to count
- Record how many findings engineers reject as not real, and how many get fixed. Fix tracking gives you the second number.
- Knowledge base
- Write down how the code is deployed and which security policies apply. Then have someone who knows the system review and edit the threat model Claude writes.
Sources: [1]
$25,000 a month in beta credits, with new roles and routes into other tools
What was announced
The new version is in public beta for Claude Enterprise customers from 21 October 2026. An admin switches it on in the admin console and sets who on the team can use it.
It runs on Anthropic's full family of models, including Claude Mythos. It needs no access to Anthropic's Cyber Verification Program.
Each organisation gets $25,000 in free usage credits a month, for two months. The offer covers usage through 31 December 2026, and the full terms are in Anthropic's Help Center.
New role-based access controls let admins decide who can view projects, who can triage findings and who can create projects. Anthropic says this lets more of the teams that own code use it without everyone creating projects.
Findings also reach other tools. An API lets your systems read and manage projects and findings, and webhooks tell other systems when a new finding lands. Claude Security also works as a connector in Claude.ai and Claude Code. An engineer can pull up a finding, ask Claude about it, start the fix and mark it resolved in one session.
What it means for enterprises
By our arithmetic, two months at $25,000 is up to $50,000 in credits for each organisation. Anthropic's post doesn't say what usage costs once the credits end. Finance may want that price, and a record of what the pilot used, before a wider rollout.
The offer covers usage through 31 December 2026, so the pilot window closes at year end. The post leaves the exact start of each organisation's two months to the Help Center terms, so check them before setting a start date.
If anyone can create projects, scans can reach repositories nobody planned to cover. Keeping project creation with the security team, and giving code-owning teams triage rights, can keep the pilot measurable.
Anthropic's inference hooks documentation says Claude Security scans make their own model calls. A security check set up in front of Claude Enterprise with inference hooks therefore doesn't see them. Agree the list of repositories in each project with your data protection lead.
Before you switch it on
- Roles
- Decide who can create projects, who triages and who only views before inviting other teams. Name the admin who switches Claude Security on.
- Inference hooks
- If your data policy relies on inference hooks, record that Claude Security scans sit outside them. Agree which repositories may be scanned.
- Tokens
- Create personal access tokens for automation under an account whose access matches the job. A token can see and change only what its user can.
- After the credits
- Ask Anthropic for the price after 31 December 2026 and read the Help Center terms before the pilot starts.
Where the market is heading: findings that stay open until the code changes
Claude Security now watches code over time, tracks each finding to a fix and reads the team's own description of its environment. AI code scanning is likely moving from one-off reports towards a running record of what is open, fixed and reopened.
The API, webhooks and Claude Code connector put findings inside tools that engineers and security teams already use. Buyers comparing scanners will likely ask how each one reports fixes and who can see findings. They may also ask how it uses what they tell it about their own systems.
Sources: [1]
What is not known yet
We read Anthropic's announcement on 22 October 2026. It doesn't answer the questions below.
- Price after the credits
- Anthropic's post doesn't say what Claude Security costs once the credits end.
- Credit terms
- The post points to the Help Center for full terms. It doesn't say whether the two months run by calendar month or from the day an organisation switches it on.
- How often it rescans
- Anthropic says changes are scanned regularly, based on risk and complexity, and gives no schedule.
- Languages
- The post doesn't list which programming languages Claude Security supports.
- Scanned code
- The post doesn't say how scanned code is handled or how long it is kept.
- Beta and plans
- Anthropic gives no date for leaving beta, and the post names no plan other than Claude Enterprise.
Sources: [1]
For engineers: repositories, scan scope, fix tracking, the API, webhooks and the connector
Connecting repositories
Create a project, then connect repositories through the Claude GitHub app, which covers GitHub Enterprise Server. GitLab and other Git providers connect with an access token. Set the branch and scope for each repository.
A deep baseline scan runs first, and later scans of changes run regularly, based on their risk and complexity. Several repositories in one project let Claude follow data across a service boundary. Anthropic's example is a backend that trusts input the client side was supposed to validate.
Sources: [1]
Fix tracking and the threat model
Open findings are checked against changed code. A finding is marked fixed when the fix lands, whether it came from Claude Code or another process. It reopens automatically if the issue is found again.
Severity is judged against the project's threat model, which Claude Security generates from the code and the team can review and edit. Each finding explains how an attacker could reach the vulnerable code, and some include an attack-path diagram.
Sources: [1]
API, tokens, webhooks and the connector
The API lists and reads projects and findings, resolves or reopens findings, and creates and manages projects and their repositories. Personal access tokens are created in Claude Security settings, and each can see and change only what its user can. Webhooks notify your systems when a new finding lands.
Claude Security is available as an MCP connector in Claude.ai and Claude Code. In one session an engineer can pull up a finding, ask Claude about it, start the fix and mark it resolved.
Inference hooks don't govern the hosted scans, because Claude Security makes its own model calls. A session a user opens to fix a finding, and the Claude Security plugin in Claude Code, are governed.
Where 1AYM fits
After a pilot, a team has to decide which findings stop a release, who fixes them and how CI's automated checks test the fix. Our AI Engineering Transformation engagement covers architecture, guardrails and CI on Codex, Claude Code and Cursor. AI-assisted changes then take the same path to production as every other change. It typically runs six to twelve weeks.
We roll out Claude Enterprise, and we have rolled it out for a client. On a rollout we would set the Claude Security roles and write the first knowledge base with your security team. We would also agree how the pilot is compared with your current scanner.
To decide whether AI code scanning is worth funding at all, we would start with our AI Opportunity & Feasibility Sprint. It is fixed scope and typically runs two to four weeks.
Sources
Frequently asked questions
What changed in Claude Security on 21 October 2026?
It now rescans repositories as code changes and marks findings fixed when the fix lands. A knowledge base and an editable threat model decide what it flags. It also adds roles, an API, webhooks and a connector for Claude.ai and Claude Code.
Who can use it, and what does it cost?
It is in public beta for Claude Enterprise customers, and an admin switches it on. Each organisation gets $25,000 in usage credits a month for two months, for usage through 31 December 2026. Anthropic's post doesn't give a price for after that.
Does it mark a finding fixed if the fix wasn't made in Claude Code?
Yes. Anthropic says a finding is marked fixed when the fix lands, whether it was made in Claude Code or in a separate process. If the flaw is found again later, the finding reopens.
Can it scan repositories outside GitHub?
Yes. GitHub repositories, including GitHub Enterprise Server, connect through the Claude GitHub app. GitLab and other Git providers connect with an access token.
Do Claude Enterprise inference hooks check Claude Security scans?
No. Anthropic's inference hooks documentation says Claude Security scans make their own model calls, so hooks don't govern them.
Further
- Claude Code Review and GitHub AI Scan · How Anthropic's and GitHub's pull request reviewers are billed, what they can block and which data terms rule one out.
- Claude inference hooks and user profiles · Security checks that run before Claude reads a prompt, and the Anthropic features they don't govern.
- Rolling out Codex and Claude Code · Who owns each phase of a coding agent rollout, and the security settings to check first.
- AI risk assessment · Score a use case on six factors before launch, and see what legal, security and risk teams will ask.
- Copilot model retirements and policy API · Which Copilot models GitHub is retiring, and the API admins use to set the models each team gets.
- AI spend governance · How usage-billed AI costs build up, and how to budget, cap and charge them back.
Running a Claude Security pilot?
Half an hour is enough to pick the repositories, agree how to compare it with your current scanner and decide who can create projects.
Last reviewed · 1AYM