// Security Testing

// Static Defenses Are Failing.
The Speed of Exploits
Zero-days surface daily; annual audits are already obsolete. Threats evolve faster than static vulnerability assessments can track.
AI-Powered Attacks
Hackers use AI to find cracks in your code, you need AI to find them first. Manual review and basic scanners can't keep pace with AI-driven attack sophistication.
The Regulatory Hammer
2026 breaches carry unprecedented fines and brand damage. One breach can cost millions and destroy customer trust in weeks.
Jignect, a security testing company india, transforms security into a continuous engineering capability, not a periodic compliance event.
// Security Validation Across Every Attack Surface and Every Risk Layer
Static Application Security Testing (SAST)
Source code analysis at development time, scanning for SQL injection, XSS, hardcoded secrets, and buffer overflows before code is compiled or deployed. Early detection cuts remediation cost.
Dynamic Application Security Testing (DAST)
Runtime vulnerability scanning from the outside in, simulating real-world attacks to find business logic flaws, authentication bypasses, and API misconfigurations that only appear during execution.
Interactive Application Security Testing (IAST)
In-production instrumentation for precision vulnerability data, combining DAST's speed with SAST's code-level precision to eliminate false positives from traditional scanners.
Penetration Testing
AI-augmented multi-stage attack simulation, chaining minor vulnerabilities into critical exploits. Our AI-driven agents find business logic flaws and privilege escalation paths automated tools categorically miss.
API Security Testing
Securing the handshakes between systems: Broken Object Level Access (BOLA), mass assignment vulnerabilities, insecure data exposure, rate limiting, and token lifecycle integrity.
Cloud & Container Security
Hardening infrastructure and deployment pipelines: Kubernetes clusters, Docker image vulnerabilities, IaC misconfigurations, and cloud-native settings across AWS, Azure, and GCP.
Software Composition Analysis (SCA)
Open-source dependency vulnerability scanning and lifecycle management. With 80%+ of modern applications built on open-source code, SCA is essential, not optional.
Business Logic Testing
Exposing exploitation paths code-level scanners can't see: privilege escalation through workflow gaps, payment manipulation, race conditions, and state-management bypasses.
LLM & AI Model Security
Protecting AI-integrated applications from emerging threats: prompt injection resistance, model poisoning, model inversion, data leakage, and adversarial input handling.
Compliance-Driven Security Validation
Turning compliance frameworks into technical validation: security controls mapped to ISO 27001, SOC 2 Type II, GDPR, HIPAA, and PCI-DSS, not paper-based evidence.
// Four Ways AI Makes Security Engineering Faster, Deeper, and More Precise
Continuous DAST, SAST & IAST Integration
"Multi-Layered Scanning." SAST, DAST, and IAST integrate directly into your CI/CD pipeline. Static analysis catches code-level vulnerabilities, dynamic scanning validates runtime behavior, and interactive instrumentation delivers zero false positives on every commit.
AI-Augmented Penetration Testing
"Thinking Like the Adversary." Our AI-driven agents simulate complex multi-stage attacks, chaining minor vulnerabilities to reach sensitive data, discovering exploit paths that point-in-time human testing alone would miss.
API Security & Logic Validation
"Hardening the Handshakes." Most modern breaches happen at the API layer. We validate BOLA, mass assignment, insecure data exposure, authentication bypass, and rate limiting bypasses.
Cloud-Native & Container Security
"Protecting the Infrastructure." Kubernetes misconfigurations, Docker image vulnerabilities, and IaC policy violations are common breach paths. We audit your entire container and cloud infrastructure.
// Security Engineering Across Your Entire Delivery Lifecycle
Security testing in many organizations is periodic, tool-driven instead of risk-driven, and focused on vulnerability counts instead of exploitability. Here's how Jignect changes that:
Risk-Based Security Profiling
//01We identify business-critical workflows, sensitive data paths, and attack surfaces, then prioritize testing by exploit likelihood and business impact. Not all vulnerabilities are equal.
AI-Powered Vulnerability Intelligence
//02We correlate findings across all security tools, remove false positives through exploitability analysis, and fix what's actually dangerous, not what tools flag most often.
Continuous Security in CI/CD
//03SAST for code-level risk, DAST for runtime validation, SCA for dependency exposure, integrated into your build pipeline. Every build produces a real-time security posture score.
API & Microservices Security
//04We validate authentication and authorisation flows, token lifecycle integrity, injection resistance, rate limiting, and data leakage across service boundaries.
Business Logic Attack Simulation
//05We test privilege escalation through workflow gaps, payment manipulation, authentication bypass, race conditions, and user boundary violations.
Compliance-Ready Evidence & Reporting
//06We align findings with ISO 27001, SOC 2, GDPR, HIPAA, and PCI-DSS, so controls are technically effective and gaps are measurable and remediable.
// Tools That Cover Every Layer of Your Attack Surface
// Documentation That Turns Findings Into Evidence
Risk Assessment Report
Security risks and vulnerabilities identified during testing, with likelihood, impact analysis, and mitigation recommendations for each.
Vulnerability Assessment Report
Every vulnerability discovered, with severity, impact, and remediation guidance, so your team knows exactly what to fix and in what order.
Penetration Testing Report
Findings from simulated attacks: techniques used, vulnerabilities exploited, outcomes achieved, and recommendations for strengthening defenses.
Authentication & Authorization Evaluation
Effectiveness of your authentication mechanisms and access controls, with weaknesses flagged and improvements recommended.
Data Encryption & Protection Assessment
How sensitive data is handled, stored, and transmitted, with encryption protocols evaluated against what your data actually needs.
Security Configuration Review
Infrastructure, servers, databases, and third-party components audited for misconfigurations and unnecessary privileges.
Compliance Assessment Report
Validation against GDPR, PCI DSS, HIPAA, SOC 2, and other regulations, mapped to specific controls, not a checkbox summary.
// Proven in the Real World.
// Latest Articles.

// Questions, Answered.
How is AI-driven security testing different from a standard vulnerability scanner?
Standard scanners (SAST/DAST) identify known vulnerability patterns through rule-based matching. They're fast but produce high false positives and often miss business logic vulnerabilities. AI-driven testing adds exploitability analysis: our AI agents simulate real attack chains, combine minor vulnerabilities into high-impact exploits, and prioritize findings by actual business risk. A scanner might flag 500 findings; our AI shows which combinations actually lead to breach and focuses your team on the 20 that matter, including multi-step attack paths rules alone can't discover.
What is the difference between penetration testing and a vulnerability assessment?
A vulnerability assessment is scan-based: automated tools identify known vulnerability patterns but don't validate whether they're actually exploitable in your environment. Penetration testing is adversarial: a security expert or AI-driven agent attempts to actually exploit vulnerabilities, chaining findings into real attack paths that scanners miss, like business logic flaws and multi-step privilege escalation. We combine both: automated scanning for coverage and speed, AI-augmented penetration testing for depth and exploitability validation.
Does security testing disrupt our development workflow?
Traditional security audits can block releases and create tension between security and delivery teams. We integrate security directly into your CI/CD pipeline as automated gates running on every commit, with feedback in seconds instead of weeks. Early detection means smaller, faster fixes, and penetration testing is scheduled alongside your release process without delaying delivery. Security becomes a release enabler, not a blocker.
How do you test for business logic vulnerabilities that automated tools miss?
Business logic vulnerabilities require understanding your application's workflows and intended behavior, areas automated rules fail. During risk profiling, we map your business-critical workflows, payment processing, privilege assignment, transaction authorisation, then our AI-driven agents simulate attacks against them: manipulating payment amounts, escalating privileges through workflow gaps, exploiting race conditions, and bypassing authorisation. We validate these attacks in your environment to confirm exploitability.
How do you secure our APIs?
APIs are the primary attack surface for modern applications. Our testing covers authentication and authorisation (token handling, session management, privilege boundaries), data exposure (BOLA, mass assignment, unintended leakage), input handling (injection attacks, deserialisation flaws), rate limiting and abuse prevention, and microservice data leakage across service boundaries. Every endpoint is tested with both automated scanning and adversarial simulation.
Can you help us achieve SOC 2 or HIPAA certification?
Yes. SOC 2 Type II and HIPAA certification require demonstrating that security controls are technically effective and continuously monitored. We provide control mapping to specific requirements, automated evidence collection (SAST results, pen test findings, access logs), gap analysis with remediation roadmaps, and continuous validation that controls stay effective post-certification, turning compliance from a periodic audit into ongoing proof.
What is SAST vs DAST vs IAST and when do you use each?
SAST analyses source code without executing it, catching vulnerabilities early: SQL injection, XSS, buffer overflows, hardcoded secrets. DAST tests running applications from the outside in, discovering runtime issues like authentication bypasses and API misconfigurations. IAST instruments applications at runtime, combining DAST's speed with SAST's precision and eliminating false positives. We use all three: SAST early in development, DAST in staging, IAST in production for continuous coverage across the lifecycle.
Do you test for LLM and AI model security risks?
Yes, increasingly critical. Our LLM and AI model security testing covers prompt injection (inputs can't escape the intended context), model poisoning (training data is validated), model inversion (outputs don't leak training data), data poisoning (real-time inputs are validated), and adversarial input handling (models gracefully reject crafted attacks). As AI becomes core to applications, model security is a critical vulnerability surface.
How do you handle cloud and container security?
Cloud and container misconfigurations are common breach paths. We test Kubernetes security (pod policies, RBAC, network policies, secrets management), container images (scanning Docker images for vulnerabilities and malware), Infrastructure as Code (auditing Terraform and CloudFormation for policy violations), and cloud configuration (AWS, Azure, GCP settings for exposed secrets and misconfigured permissions), through both automated scanning and manual review.
What deliverables do we receive after a security engagement?
Standard deliverables: an executive summary for leadership, a detailed findings report (every vulnerability with exploit path and remediation steps), a prioritized remediation roadmap with effort estimates, compliance mapping to ISO 27001, SOC 2, GDPR, HIPAA, or PCI-DSS, raw evidence and documentation, CI/CD integration guidance, and optional remediation support sessions. Ongoing engagements also get continuous dashboards and monthly risk reports.




