Protect the data your business cannot afford to lose.
Discover sensitive information, reduce unnecessary exposure, and establish controls that keep critical data secure throughout its lifecycle.
What is Data Security?
Discover sensitive information, reduce unnecessary exposure, and establish controls that keep critical data secure throughout its lifecycle.
Hackstack Security delivers it as a scoped, agentic engagement: AI agents on local and client-approved API models expand coverage, our specialists test the logic and attack chains agents miss, and every finding is validated by a human, explained in business terms, and retested after you fix it.
- AI agents plus manual testers
- Human-validated findings only
- Retest and closure status included
What outcomes should you expect?
Every engagement is designed around the risk your team needs to understand and the action it needs to take.
Sensitive data visibility
Reduced leakage pathways
Stronger access governance
What does data security testing cover?
Proven methodology plus the judgment needed to uncover context-specific risk.
Data discovery and classification
Data flow mapping
Access control review
Encryption and key management review
DLP program assessment
Retention and privacy advisory
When should you run data security testing?
Test before a finding turns into a release delay, a customer escalation, or an incident.
Before a major launch, migration, or architecture change
When enterprise customers or partners request security evidence
After meaningful changes to identity, data, integrations, or infrastructure
When your team needs an independent view of real-world risk
Which questions do we test?
Frameworks support consistent coverage. The assessment remains driven by your architecture, trust boundaries, threat model, and business workflows.
- Can an untrusted or lower-privileged actor cross a trust boundary?
- Can separate weaknesses be chained into a material business impact?
- Do controls fail under unexpected state, sequence, volume, or input?
- Would available telemetry support timely detection and investigation?
- Reproducible request, response, configuration, or workflow evidence
- Attack-path narrative connecting technical behavior to business impact
- Control-focused remediation guidance and verification criteria
How does Hackstack Security test?
Testing is scoped, evidence-led, and designed to reduce risk without creating unnecessary disruption.
Context first
We learn the system, users, trust boundaries, and business objectives before testing begins.
Expert-led testing
Automation supports coverage. Human analysis finds the issues that depend on judgment and context.
Clear prioritization
Findings are ranked by exploitability, impact, and what matters to your organization.
Remediation partnership
We stay engaged through fixes, answer engineering questions, and validate closure.
What will you receive?
Reports are written for the people who need to make decisions, fix issues, and demonstrate improvement.
Executive summary and risk narrative
Detailed technical findings
Risk rating and prioritization
Exploit evidence and reproduction steps
Developer-friendly remediation guidance
Retest status and closure validation
Data Security questions, answered.
Still unsure? Ask us directly and we will reply with a proposed scope.
What does Data Security include?
It covers data discovery and classification, data flow mapping, access control review, encryption and key management review, DLP program assessment, and retention and privacy advisory. Each engagement is scoped to your environment and ends with validated findings, remediation guidance, and a readout.
What will we receive at the end?
You receive an executive summary, detailed technical findings with exploit evidence and reproduction steps, risk ratings, developer-ready remediation guidance, and retest status. The goal is sensitive data visibility, reduced leakage pathways, stronger access governance.
Which frameworks guide the testing?
Coverage is aligned with OWASP Web Security Testing Guide, OWASP Application Security Verification Standard, MITRE ATT&CK, then shaped by your architecture, trust boundaries, and business workflows.
Do you use AI agents or only manual testing?
Both. AI agents running on self-hosted local models, and on API-based models when you approve them, handle reconnaissance, surface mapping, fuzzing, and hypothesis generation, while our specialists test business logic and chained attacks manually. Every result is validated by a practitioner before it is reported.
Can you support remediation and retesting?
Yes. We walk your engineers through findings, answer implementation questions, and retest agreed fixes to document final status for stakeholders and auditors.
Ready to strengthen your data security?
Share your targets, deadline, and any compliance driver. We reply with a proposed scope, test approach, and timeline. There is no obligation.