Security Intelligence & Risk Prioritization
Convert fragmented signals into priorities leaders can trust and act on.
- Clear visibility into revenue critical risk
- Alignment across engineering and operations
- Fewer surprises, steadier execution
👋
Hi, I'm
Dhananjay Garg
AI Systems Builder
Security & Intelligence Engineer
I build intelligence driven secure systems that help teams make sound decisions, reduce uncertainty, and scale with confidence. My work focuses on translating complex technical signals into clear, actionable insight that protects what creates value.
Currently building HackGain, an intelligence platform for startups and SMBs, while working independently with globally distributed startups to design resilient, scalable systems. Previously contributed to security and reliability initiatives at Google (via Smollan), JLL, and Nykaa.
1,000+
Issues Resolved Across Systems
50%
Faster Risk Evaluation Cycles
100+
Brand Risks Identified
Core Expertise
- AI powered security intelligence
- Cloud and platform architecture
- Detection, response, and governance
- Security research and system hardening
My Approach
I focus on building systems that are predictable, scalable, and trust driven. Security should not slow teams down. It should enable steady execution and confident decisions at every stage of growth.
Clarity over noise
Systems thinking
Durable outcomes
Based In
Working across time zones to support global teams
How I Think
Stability, clarity, and long term trust as operating principles.
Stability is a competitive advantage. The strongest systems do more than solve immediate problems. They establish predictable foundations that keep decisions calm and signals consistent as complexity grows. Under pressure, stable systems preserve momentum.
Security preserves revenue and compounds trust. It is not merely defensive. It is the infrastructure that allows teams to ship confidently, customers to commit fully, and leadership to move decisively without unseen risk undermining progress.
The model is simple and effective: align incentives, reduce noise to surface meaningful signals, and scale controls without unnecessary friction. Intelligence drives action. Systems outperform point fixes. Durability outlasts shortcuts.
North Star
Trust that compounds over time
Operating Bias
Predictable execution under pressure
Delivery Standard
Clarity with repeatability at scale
What I Build
Outcome first systems that increase reliability, reduce exposure, and protect trust.
AI Driven Decision Support Systems
Decision frameworks that convert complex data into accountable outcomes.
- Executive ready clarity
- Context aware risk framing
- Consistent, repeatable decision paths
Secure Cloud & SaaS Architecture
Architect cloud systems that remain stable under growth, change, and pressure.
- Governance that scales with the business
- Multitenant trust patterns
- Reliability through controlled change
Product Grade Security Engineering
Security that strengthens delivery quality and protects long term product trust.
- Stable release confidence
- Risk aware product decisions
- Resilience as a baseline
External Exposure Intelligence
Make external exposure visible early to reduce cost and prevent disruption.
- Earlier visibility, lower remediation cost
- Focused, high signal monitoring
- Actionable reduction strategies
Selected Work
Focused builds that turn intelligence into defensible outcomes.
Ardra
AI decision supportAssessment intelligence system that converts inputs into decision ready insight.
Why it matters: faster prioritization and clearer action
Notes: AI workflows | signal correlation
Gcloud IPS
Cloud defenseCloud protection system that enforces policy and stabilizes operations.
Why it matters: protects critical workloads with predictable responses
Notes: policy enforcement | cloud controls
SubHunt
Exposure intelligenceExternal visibility system that clarifies what requires attention first.
Why it matters: early visibility lowers cost and preserves trust
Notes: asset discovery | exposure mapping
Postlook
Product securityData exposure control for public API collections.
Why it matters: prevents avoidable reputational and operational loss
Notes: exposure detection | product safeguards
Manifesto
Calm authority, measurable outcomes, long term trust.
I build systems that convert complexity into clarity. The objective is not only to manage risk, but to make it understandable, actionable, and embedded in everyday decisions. When uncertainty becomes structured signal, operations stabilize and leadership acts with confidence.
Security is not a blocker; it is a growth enabler. When done well, it protects momentum by keeping teams productive, customers confident, and leadership decisive without fear of hidden failures. Security becomes the quiet foundation that allows scale.
The bias is toward durability and systems thinking. Build once, benefit continuously. Systems that scale cleanly, reduce exposure proactively, and compound trust over time. Intelligence should always lead to better actions, faster decisions, and stronger outcomes.
✦ Clarity over noise
✦ Systems over point solutions
✦ Security as a value layer
✦ Intelligence must drive action
✦ Durability beats shortcuts
Research
Responsible system improvement focused on long term reliability.
Research efforts focus on platform safety, reliability, and trust preservation. The approach prioritizes identifying systemic weaknesses, implementing practical improvements, and reinforcing architectures that remain dependable under real world conditions.
Collaboration with product and security teams emphasizes prevention over reaction—addressing classes of issues rather than isolated incidents. The result is reduced exposure, stronger architectural confidence, and repeatable improvement patterns.
Responsible improvement cycles ensure that research consistently translates into measurable gains and safer systems over time.
Request detailed research overview →Experience
Proof across enterprise workflows, cloud environments, and product security.
Independent Contractor – AI Systems & Security
Aug 2025 Present- Build AI driven systems that improve decision quality and operational clarity
- Strengthen security foundations to reduce uncertainty and protect growth
Impact: earlier visibility and more predictable scaling
Jones Lang Lasalle – Cybersecurity & AI Intern
Feb 2025 Jul 2025- Integrated AI workflows into enterprise applications, reducing evaluation time by 50%
- Improved assessment reliability through structured review processes
Impact: faster decisions, higher confidence, reduced friction
Smollan (Client: Google) – Security Engineering Intern
Jun 2024 Dec 2024- Strengthened cloud security through detection improvements and firewall hardening
- Applied STRIDE threat modeling across services
Impact: improved detection posture and reduced uncertainty
Nykaa – Information Technology Intern
Feb 2023 Aug 2023- Conducted assessments and automated scans, improving OWASP visibility by 40%
- Monitored brand assets, identifying 100+ impersonation attempts
Impact: stronger brand protection and clearer risk insight
Currently Building: HackGain
Intelligence infrastructure for startups and SMBs, high-signal and predictable.
HackGain unifies intelligence across revenue systems to make growth predictable and risk manageable. Clarifies what drives revenue, what threatens it, and how to scale with fewer surprises.
Built to anticipate challenges early and align security with business confidence.
Exposure reduction
Revenue confidence
Predictable scaling
How I help teams
- Intelligence pipelines across revenue systems
- Assessments with risk prioritization and clear next steps
- Cloud security hardening with durable governance
Let's Work Together
Building intelligence driven systems that scale with confidence and trust.
Let's discuss your project and how intelligence driven security can strengthen your systems.
dhananjay@hackgain.comSchedule a Call
Book a time to explore how we can build predictable, trust driven outcomes together.
Schedule Meeting →Location
Based across multiple time zones to support global collaboration.
India
Dubai