//Announcement
Introducing AI Hacker for Business
Autonomous security testing from an attacker’s perspective: from reconnaissance and attack chains to evidence and retesting. Available in the cloud and on-premises.
Target for AI Hacker
AI Hacker for business
AI Hacker for applications and APIs
Let AI Hacker find vulnerabilities autonomously.
[01] Why Sentra AI Hacker
Why leaders choose Sentra AI Hacker
Understand real business risks and know what to fix first.
01.A
Investigates beyond scanning
Explores application logic in depth, finds unusual vulnerabilities, and connects them into attack chains.
02.B
Verifies every finding
Tests hypotheses and collects evidence. Confirmed results are distinguished from assumptions.
03.C
Works continuously
Supports repeated assessments as the system changes, within agreed scope and testing windows.
04.D
Follows through to remediation
Provides remediation guidance and helps retest the original scenario.
[02] Coverage
A hacker working for you
Pentesting & Red Team
See how you could be breached today and what needs fixing first
- Asset discovery and inventory
- Detection of trending and N-day vulnerabilities
- Attack chain analysis
- Continuous AI pentesting
Application security
Prevent incidents by fixing vulnerabilities before attackers exploit them
- SDLC integration and security checks before production releases
- Source-aware dynamic analysis (IAST)
- Business logic and role-based access control testing
- API testing against specifications
- Remediation guidance and tasks
- Automatic retesting after remediation
Triage and security backlog
Use prioritization and evidence to support your team’s triage
- Integration with your scanners, security tools, and vulnerability management
- Automated triage and prioritization of findings from other security tools
- Review of accumulated security debt
- Remediation tickets and progress tracking
Purple Teaming
Train your team and test your defenses against realistic attacks
- Realistic attack techniques and chains within the agreed scope
- Validation of security controls and SOC response
- Detection of monitoring blind spots
- Hands-on Red Team and Blue Team training with realistic scenarios
Brand protection
Discover who is using your brand outside your organization and how
- Phishing domain discovery
- Corporate data leak detection
- Monitoring of mentions across public sources, the dark web, and forums
- Detection of fraud schemes
Security management
Manage risk, get ready-to-use reports, and extend your team’s capabilities without adding headcount
- Tracking security posture and regularly assessing cyber resilience
- Automated reporting for regulators and business stakeholders
- Help with day-to-day security tasks
- A growing knowledge base for your security team
Example · 860 assets
Analyzing build #482
CommitAI HackerProd
Release blockedFixed · retest passed
Example · 1,240 findings
Detection validation
Attack techniques
SOC responseExample · 2 blind spots
Lookalike domain search
company-corp.orgc0mpany-corp.rucompany-corp.comcornpany-corp.rucompany.corp-ru.netcompani-corp.rucompany-korp.ru
Phishing confirmedYour domain · company-corp.ruSecurity knowledge base
Can we grant access to a contractor?
You · 10:42No. External access to the payment environment requires separate approval.Security policy · section 4.2
AI Hacker · 10:42
[03] Comparison
How to evaluate an assessment approach
| Capability | What to evaluate in a pilot |
|---|---|
| Scope | Which assets, roles and actions were actually tested? |
| Evidence | Can you reproduce the result and understand its impact? |
| Remediation | Is the next step and the retest result clear? |
[04] Architecture
A team of agents, working together
A coordinator assigns tasks, agents investigate different paths, and a validator checks findings. Results retain evidence and the limits of the assessment.
Architecture of Sentra AI HackerCoordinator → agents → validator
[01] Coordinator
Allocates effort across the attack surface, deciding what to test and in what order.
[02] Agents
Work in parallel and independently, each exploring its own attack vector.
[03] Validator
Confirms a finding with an exploit or gives the coordinator a new target.
[04] Cycle
Independent of any specific LLM, with orchestration at its core.
01
Reconnaissance
Discovers assets, including shadow IT and forgotten services.
02
Hypothesis
Builds a hypothesis about how an attacker could get in.
03
Validation
Tests safely within the agreed scope.
04
Attack chain
Connects verified steps into an attack path.
05
Remediation
Creates a remediation task and verifies the fix.
[05] Team
Built by practicing security specialists
We bring years of pentesting, Red Team, and bug bounty experience into AI Hacker, so you can find and fix vulnerabilities that could lead to real incidents.
International security and IT certifications
Participation in bug bounty programs
[06] Blog
Research and practice
Prompt Injection: How Attacks on AI Work
//Research
Case Study: How a B2B Software Company Found and Fixed Critical CMS and CRM Vulnerabilities
//Case study · B2B software
[07] FAQ
FAQ
Q.01How does Sentra differ from open-source AI pentesting tools?
Sentra AI Hacker combines application assessment, hypothesis testing, evidence and retesting. Authentication, additional scenarios and limits are agreed for each system. Published case studies explain the conditions and boundaries of the results.
Q.02Which AI models does Sentra use?
The architecture supports different LLMs. The specific model, its deployment and the context sent to it depend on the configuration and are agreed before testing.
Q.03Where are the LLMs hosted, and how is our data protected?
Cloud and on-premise deployment options are available. For the chosen setup, we agree where data is processed, what context reaches the model, who can access evidence and how long it is retained.
Q.04What is the actual false positive rate?
Evaluate false positives on an agreed sample after triage. We test hypotheses and retain evidence; this page does not claim a universal rate without a defined sample and methodology.
Q.05Could AI Hacker disrupt our systems?
Active testing can affect a system. Agree the scope, testing window, intensity, exclusions and actions requiring separate authorization before starting. Sensitive scenarios need suitable test objects or a separate environment.
Q.06Which vulnerability databases does Sentra use?
AI Hacker investigates configurations, permissions, APIs and sequences of actions. Known vulnerability data is one source of hypotheses; database size alone does not show how thoroughly a particular application was tested.
Q.07How is AI Hacker different from AI pentesting?
Sentra AI Hacker is a product for security assessment with AI agents. A pilot should establish agreed scope, reproducible results, remediation guidance and assessment limits. Evaluate a solution by those results as well as its approach.
Q.08Does AI Hacker replace a vulnerability scanner?
AI Hacker extends vulnerability assessment. A conventional scanner identifies potential vulnerabilities using known signatures. AI Hacker validates which findings are actually exploitable, filters out false positives, and helps answer how an attacker could breach the company and what to fix first.
[08] Pilot