Proof over noise
A finding should come with evidence, impact, reproduction, remediation, and retest context. Scanner output is only the starting point.
About DeepScan
Built from hands-on security experience.
DeepScan is founded on experience building security tools, shaping enterprise AppSec programs, and delivering penetration testing.
Why we exist
Make offensive security continuous, evidence-rich, and useful.
No long queues, noisy findings or static reports. One engagement from request to retest.
Agents plus human judgment
DeepScan uses AI-powered agent workflows for speed and coverage while preserving operator control for scope, validation, and final delivery.
Built for buyer pressure
Reports are designed for engineering teams, auditors, procurement teams, security reviewers, and customer trust workflows.
Service when needed
Teams can use the product self-serve or add expert-led delivery for a formal penetration testing engagement.
Evidence-driven intelligence
Offensive-security experience, encoded into the platform.
Our models and workflows learn from hands-on pentest evidence, anonymized and admitted only after human review.
Controlled improvement
Human judgment remains the gate.
Raw client data and client-identifying information are not used for model training.
Eligible patterns are anonymized or transformed before entering training or evaluation datasets.
Human review and approval are required before evidence enters the improvement pipeline.
Model and workflow changes are evaluated before production release.
Authorized customer scope remains enforced throughout testing.
Our background
Experience across industries and borders.
Financial services, insurance, telecom and startups. That experience shapes how agents and pentesters share one workspace.
Offices
Headquartered in Canada. Built for global delivery.
Toronto headquarters. Delivery team in Bengaluru.
Toronto
18 King St E, Suite 1400
Toronto, ON
Canada
Bengaluru
10th floor, RMZ Latitude
Bengaluru, Karnataka
India
Governance and safety
Trust starts with explicit boundaries.
Autonomous testing remains observable, scoped, reviewable, and accountable to the operator.
- Approved targets
- Operator steering
- Non-destructive validation
- Complete activity log
- Secret redaction
- Audience-aware evidence
Start with proof
See how DeepScan fits your security program.
Run it yourself or add expert-led delivery.