Offensive security at a different level

TexaTenet takes offensive security beyond brute force. A patent-pending, reasoning-based method drives AI agents that attack your applications, cloud and networks continuously, inside a scope you approve. World-class offensive engineers verify every serious finding, and attacker-intent intelligence shows you which targets adversaries actually value.

Authorized testing only, within a scope you approve in writing.

Internet Firewall Web app Billing Database Customer database Production admin Signing keys
Re-test passedInternet → Firewall → Web app → Billing → Database → Customer database. The agent proved this route, and it is now closed.

Choose a target and watch the agent reason its way in.

One continuous loop, from reconnaissance to verified fix

Every engagement runs the same five stages. The first three show you what an adversary can see and reach. The last two close it and keep it closed.

  1. Map everything you expose

    We build a complete picture of your external and internal attack surface: domains, cloud accounts, APIs, code repositories and the servers no one remembers. Every weakness is then ranked by whether an adversary can actually reach and use it, so your team fixes the few that matter instead of triaging thousands that don’t.

    AssetTypeOwnerExposure
    api.acme.ioAPIPlatformPublic
    staging-api.acme.ioAPIUnknownPublic
    jenkins-legacy.acme.ioCI serverUnknownPublic
    vpn.acme.ioVPNITPublic
    acme-exportsStorage bucketUnknownPublic read
    db-replica-3DatabasePlatformInternal
    842 assets found. The 17 that weren’t in your inventory are highlighted; three are shown here.
    Drawn to scale. Ranked by what an adversary can do with it, not by scanner severity.
  2. Attack it the way a skilled adversary would

    Autonomous agents reason about how your environment fits together and choose their next move the way an experienced operator does, chaining small weaknesses into complete paths to your data rather than firing every payload at every endpoint. They stay inside your approved scope, keep load low, and stop at proof: they demonstrate access without exfiltrating anything.

    One path an agent proved

    1. ReachThe image proxy fetches any address it’s given, including the cloud metadata service at 169.254.169.254.
    2. ObtainThe response contains temporary credentials for the role billing-worker.
    3. PivotThose credentials can list the bucket acme-billing-exports.
    4. Prove14,203 customer invoices are readable. The agent stops there and exfiltrates nothing.

    What the agents attack

    • Web applications and APIs
    • Cloud accounts and Kubernetes
    • Internal networks and Active Directory
    • Mobile apps
    • CI/CD pipelines
    • LLM apps and AI agents
  3. Verify what’s real

    An offensive-security engineer reproduces every critical and high finding before it reaches you. Each arrives with the request that proves it, the business impact in plain language, and the steps to reproduce it yourself. No false positives, no unverified severity.

    CriticalVerified by an engineer

    Customers can read each other’s invoices

    Broken object-level authorization on /api/v2/invoices/{id}

    Evidence

    Signed in as a user of tenant B, the agent asked for an invoice that belongs to tenant A. The server returned it.

    Request
    GET /api/v2/invoices/48213 HTTP/1.1
    Authorization: Bearer <token for a tenant B user>
    
    Response
    HTTP/1.1 200 OK
    {
      "invoice_id": 48213,
      "tenant": "tenant-A",
      "total": 12400.00,
      "bill_to": "[redacted]"
    }
  4. Remediate, don’t just report

    Fixes arrive in the form your team already works in: pull requests, infrastructure-as-code changes, and WAF rules that hold the line until the patch ships. For structural gaps, our engineers carry out the hardening alongside your team.

    Pull request #1287Scope invoice lookups to the caller’s tenant
    api/invoices.py-    invoice = db.invoices.get(invoice_id)+    invoice = db.invoices.get(invoice_id, tenant_id=ctx.tenant_id)+    if invoice is None:+        raise NotFound()
    • Regression test added
    • WAF rule live while the fix ships
    • Re-test passed. The attack path is closed.

    Hardening our engineers implement with your team

    BeforeAfter
    Long-lived cloud keys stored in CIShort-lived tokens issued for each build
    One shared admin loginIndividual SSO accounts with step-up MFA
    Secrets committed to repositoriesSecrets in a vault, rotated automatically
    Storage buckets open to the publicPrivate buckets with expiring signed links
  5. Stay verified

    Your attack surface changes with every deployment. TexaTenet re-tests what changed, confirms that each fix closed its path, and keeps your audit evidence current between assessments.

    Activity this week

    • Deploy v4.18.2 detected. Re-testing the 31 endpoints that changed.
    • New public storage bucket found. Its owner was notified.
    • Fix for the invoice issue merged. Re-test passed and the path is closed.

    Evidence maps to the controls auditors ask about

    FrameworkControlWhat you can show
    SOC 2CC7.1Ongoing detection of new vulnerabilities
    ISO 27001A.8.8Management of technical vulnerabilities
    PCI DSS 4.011.4Internal and external penetration testing
    NIST CSF 2.0ID.RAVulnerabilities identified, validated and recorded

What sets TexaTenet apart

Most testing addresses the problem with brute force: more scans, more payloads, more noise. TexaTenet’s approach is built on knowledge and reasoning about your environment, the way a skilled adversary actually works.

Method · Patent pending

Reasoning, not brute force

Our patent-pending approach solves a problem that most of the industry still attacks with volume. Instead of running every check against every asset, our agents reason about how your systems fit together and where the leverage is. The result is fewer, higher-confidence findings, far less noise for your team, and far less load on production.

Offense

Full offense, end to end

We go fully on the offensive. Reconnaissance, initial access, privilege escalation, lateral movement and proof of impact are run the way a real intrusion unfolds, chaining the small weaknesses that checklists and scanners never connect.

Intelligence

Attacker-intent intelligence

Knowing how an adversary could get in is half the picture. We also identify what current and prospective attackers are trying to achieve: bulk data, a specific data set, access to a particular system, or your customers’ information. Your remediation roadmap is prioritized by real intent, not by a generic severity score.

People

World-class offensive talent

Every engagement is led by operators with deep, hands-on hacking expertise, among the strongest in the field. They direct the agents, reproduce every critical finding themselves, and work shoulder to shoulder with your engineers on the fix.

Attacker-intent assessment

Observed activityProbable objectivePriority
Systematic enumeration of /api/v2/invoices/{id}Financial records for a specific customer segmentCritical
Sustained credential stuffing against customer sign-inAccount takeover and customer personal dataHigh
Probing of CI runners and artifact storageAccess to signing keys and the release pipelineHigh
Broad scanning of public IP rangesOpportunistic; no specific target identifiedMonitor
Illustrative. An intent assessment maps observed adversary behavior to the objective behind it, so you defend the target, not just the technique.

Delivered with every engagement

  • Attack-path findings with proof of exploitation
  • Attacker-intent assessment, prioritized by objective
  • Remediation as pull requests, WAF rules and hardening
  • Re-test confirmation that every path is closed

Autonomous doesn’t mean unsupervised

Letting AI attack your systems only works if the limits are absolute. These are ours.

Scope is enforced, not suggested

Agents can reach only the assets on the allow-list you approve in writing. Everything else is blocked at the platform level.

Non-destructive by default

Payloads that could affect data integrity or availability stay disabled unless you enable them, and rate limits keep production load low.

High-impact steps wait for approval

Any action that could affect production pauses until a named member of your team approves it.

One switch halts everything

Every engagement has a kill switch. Activate it and every agent stops immediately.

Experts own the outcome

An offensive-security engineer reproduces every critical and high finding before it reaches you, and stays accountable for the result.

Your data stays yours

Each customer’s findings are isolated, encrypted, and never used to train models available to anyone else.

Compared with the alternatives

An annual test is a snapshot. Brute-force automation is noise. Neither tells you what an adversary actually wants.

TopicAnnual pentestBrute-force automationTexaTenet
MethodManual, checklist-drivenExhaustive scanning and fuzzingKnowledge-based reasoning, patent pending
CadenceOnce or twice a yearContinuous, but shallowContinuous, and after every significant change
Time to first resultWeeks after kickoffImmediate, unprioritizedHours after you approve the scope
Signal qualityA PDF of findings, many unverifiedThousands of alerts, most unreachableProven attack paths, verified by an engineer
Attacker intentNot addressedNot addressedIdentified and used to prioritize remediation
RemediationLeft to your teamLeft to your teamPull requests, WAF rules and hands-on hardening
ConfirmationAt next year’s testA re-scan, with the same noiseA re-test of every fix, path confirmed closed

Questions, answered

Can’t find yours? Ask us during the demo.

What is patent-pending about your approach?

Most of the industry addresses offensive testing by brute force: run every check against every asset and sort through the noise afterwards. TexaTenet’s method is built on knowledge and reasoning about the target environment, deciding what to attack and how, the way a skilled operator does. That method is the subject of a pending patent application. We are glad to go deeper under NDA.

What is attacker-intent intelligence?

A penetration test tells you how an attacker could get in. Intent intelligence tells you what they are trying to achieve: whether they are after data in bulk, a specific data set, access to a particular system, or your customers’ information. We deliver it as a prioritized assessment alongside your findings, so remediation starts with the targets adversaries actually value.

Is it safe to run against production?

It is built for that, within limits you control. Agents touch only assets on your approved allow-list, use non-destructive payloads by default, and run rate-limited. Any action that could affect production pauses for your approval, and a kill switch stops every agent immediately.

How is this different from a vulnerability scanner?

A scanner lists weaknesses that might exist and leaves the triage to you. Our agents reason about which weaknesses matter, exploit them, and chain them together, so you see what an adversary could actually do. Findings are ranked by demonstrated impact and arrive with proof.

Who does the work?

Agents run the attacks; people own the outcome. Our operators are experienced offensive-security practitioners with deep hands-on hacking expertise. They direct the agents, reproduce and review every critical and high finding before you see it, and join your engineers to walk through the fixes.

What can you test?

Web applications and APIs, cloud environments (AWS, Azure and Google Cloud), Kubernetes, internal networks and Active Directory, mobile applications, CI/CD pipelines, and applications built on large language models and AI agents.

Does this help with compliance?

Findings, fixes and re-tests are mapped to controls in SOC 2, ISO 27001, PCI DSS and NIST CSF, so the evidence is ready when auditors ask. Your assessor remains the authority on what satisfies a requirement.

What happens to our data?

Each customer’s data is isolated, encrypted in transit and at rest, and never used to train models available to anyone else. You can request deletion at any time.

See what an adversary would find, and what they’d want

In 30 minutes we’ll walk through a live run, show you a sample intent assessment, and scope a pilot for your environment.

We test only systems you have authorized in writing.