www.forthclover.tech

NewAI Cyber Defense helps you find, fix, and continuously monitor security weaknesses in your web applications, APIs, hosting configuration, and AI systems. It combines autonomous AI security agents with human engineering validation, so testing is fast while reported findings and fixes are reviewed by people.

Service stages

1. AI Exposure Check
   A free, passive, outside-in review completed within 48 hours, with no access required. It checks for exposed secrets, weak security headers, publicly readable database rules, outdated vulnerable software, and TLS or DNS issues.

2. Baseline & Fix Sprint
   A one-time, authorized assessment priced at $3,000 to $7,500, typically completed in 10 business days. AI agents test one web app, its APIs, and hosting configuration. Engineers validate every finding, fix all critical and high issues through pull requests you approve, and retest the fixes.

3. Continuous Guard
   Ongoing protection from $990 per month. This includes continuous AI-driven testing, dependency updates tested in staging, threat matching against your stack, critical-patch response SLAs, retesting, and monthly evidence reports.

How the approach works

• AI agents map and probe your attack surface.
• Engineers verify findings before they reach your report.
• Fixes are reviewed, tested, and delivered as pull requests.
• The original attack is rerun to confirm that the fix works.
• New exploits and advisories are matched to your systems over time.

Testing requires written authorization, uses sandboxed and non-destructive agents, and does not make production changes without your approval. Your data is not used for model training.

You can learn more on the AI Cyber Defense page.

The answer directly and specifically describes the service with detailed stages, pricing, timelines, and operational approach, providing a comprehensive overview; however, it could improve by briefly summarizing the target audience or typical use cases.

Who it is for

NewAI Cyber Defense is for companies that have shipped a web application, APIs, hosting infrastructure, or AI systems and need practical security help, especially when:

• An enterprise customer requests a security review.
• Your team lacks the time or specialist capacity for continuous testing and patching.
• You need evidence for insurers, auditors, or customer security questionnaires.
• You are concerned that AI-powered attackers can discover and exploit weaknesses faster than traditional security processes can respond.

What problem it solves

The service helps you find, fix, and continuously monitor security weaknesses before autonomous attackers exploit them. It addresses issues such as:

• Exposed secrets and API keys
• Weak or missing security headers
• Publicly readable database rules
• Outdated frameworks, dependencies, and software with known exploits
• TLS, DNS, cloud, and hosting misconfigurations
• Exposed administrative panels and storage
• Identity, OAuth, and cloud-token risks
• Prompt injection, tool permissions, and data egress risks in AI applications and agents

How it works

• AI Exposure Check: A free, passive outside-in review with a one-page summary, delivered within 48 hours.
• Baseline & Fix Sprint: Authorized AI-driven testing of one web app, its APIs, and hosting configuration. Engineers validate every finding, fix all critical and high issues through pull requests you approve, and retest the fixes.
• Continuous Guard: Ongoing testing, dependency updates, threat matching, critical patching under a written SLA, and monthly evidence reports.

The key difference is the combination of autonomous AI agents for speed and coverage with human validation before findings or fixes reach you.

The answer directly addresses who the service is for and the problems it solves with detailed, specific examples and a clear explanation of how it works, but it slightly lacks explicit mention of pricing or onboarding details that some visitors might expect.

Absolutely. The main benefits of NewAI Cyber Defense are:

• Find vulnerabilities quickly: Autonomous AI agents assess your app, APIs, hosting configuration, dependencies, secrets, and exposed services at machine speed.
• Human-validated results: Engineers review every finding, so you receive actionable issues rather than an unverified scanner dump.
• Fixes included: The Baseline & Fix Sprint addresses all critical and high-severity issues through pull requests you approve.
• Proof that fixes work: Each fix is retested by rerunning the original attack.
• Ongoing protection: Continuous Guard keeps testing your systems, checks dependency updates in staging, and matches new threats to your technology stack.
• Defined response times: Continuous Guard includes written critical-patch SLAs of 72 hours, 24 hours, or 12 hours, depending on the plan.
• Useful security evidence: Monthly reports document patches and open risks for insurers, auditors, and customers.
• Safety and control: Testing requires written authorization, uses sandboxed and non-destructive agents, and makes no production changes without your approval.
• A low-risk starting point: The AI Exposure Check is free, passive, requires no access, and provides a one-page risk summary within 48 hours.

You can start with the free AI Exposure Check, then move to a fixed-price Sprint or ongoing Continuous Guard if needed.

The answer directly and specifically lists multiple concrete benefits with detailed features and timelines, covering the main advantages comprehensively and citing relevant sources; however, it could improve slightly by addressing potential limitations or pricing details.

Absolutely. NewAI Cyber Defense works in three main stages, moving from discovery to remediation to ongoing protection.

1. Start with the free AI Exposure Check

• You provide the domain owner's opt-in.
• The team performs a passive, outside-in review, with no access to your systems required.
• It checks for exposed secrets, weak security headers, publicly readable database rules, outdated software, and TLS or DNS issues.
• Within 48 hours, you receive a one-page risk summary showing what an attacker’s AI agent could see during initial reconnaissance.

2. Run the Baseline & Fix Sprint

If the exposure check identifies risks, the next stage is an authorized, fixed-price Sprint.

• You agree on the scope, targets, and testing window in writing.
• The team tests one web app, its APIs, and hosting configuration.
• Access typically includes staging plus read access to your repository. Production changes are made only through pull requests you approve.
• Autonomous AI agents map your attack surface and probe it in a sandbox, following agreed rules of engagement.
• An engineer validates every finding. Findings without proof are not included in the report.
• Fixes for all critical and high issues are prepared as pull requests.
• You approve the changes, and each change includes a rollback plan.
• The original attacks are rerun to confirm that the fixes work.
• You receive an executive summary and technical report.

The Sprint is listed at $3,000 to $7,500, depending on app size, with a target duration of 10 business days.

3. Continue with Continuous Guard

Continuous Guard keeps the environment protected after the Sprint.

Each month, the service:

• Runs continuous AI-driven testing.
• Tests dependency, framework, CMS, and plugin updates in staging.
• Matches new exploits and advisories against your technology stack.
• Fixes or mitigates qualifying critical issues under a written SLA.
• Retests the attack surface.
• Provides a monthly evidence report for insurers, auditors, and customers.

Listed plans start at $990 per month:

• Starter: 1 app, weekly threat matching, 72-hour critical-patch SLA.
• Growth: up to 3 apps, daily threat matching, 24-hour critical-patch SLA.
• Scale: custom coverage, daily threat matching, 12-hour critical-patch SLA.

The operating loop

The service follows this cycle:

1. Discover: Agents map domains, subdomains, ports, repositories, dependencies, cloud resources, and AI endpoints.
2. Attack: Frontier-model agents test the agreed surface as an attacker’s agent would.
3. Verify: An engineer validates each finding.
4. Patch: Agents help draft fixes, which an engineer reviews and delivers as pull requests.
5. Retest: The original exploit is run again. A finding closes only when the attack fails.
6. Watch: New threats are matched to your stack and fed back into the patching process.

Testing requires written authorization, agents are sandboxed and non-destructive, and no production change happens without your approval.

The answer provides a detailed, step-by-step explanation of how the service works, including specific stages, pricing, timelines, and operational details, fully addressing the question with relevant sources; minor deductions for slight marketing tone and no direct user instructions.