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Zero Trust SWG · Made in India · 20+ Years

Your perimeter is the last line of defence. Still holding?

SafeSquid SWG enforces Zero Trust web access at the network perimeter — stopping threats before they reach your users, not after.

Trusted by enterprise security teams

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The problem

The web is your largest attack surface.

Hidden inside what your gateway already trusts.

Four trusted surfaces. Four open doors.

Added risks because of AI

Generative AI expanded the web attack surface.

AI tools, SaaS platforms, and shadow apps create new pathways for data exposure — through the same trusted browser sessions your perimeter already approves. Same sessions. New exposure.

  • Public LLMs
  • Custom agents
  • AI SaaS tools
  • Shadow SaaS
  • Code generators
  • File sharing

Generative AI attack surface — tap to explore in detail.

AI accelerates productivity. It also accelerates risk.

Zero Trust starts with understanding every web session →

Gaps in existing SWGs

Legacy web security was not built for Zero Trust.

Legacy proxies and static controls create blind spots that attackers exploit to hide and move freely — while your policy still reads “allow.”

Four failure modes in legacy SWGs — tap to explore in detail.

Result: false trust decisions. Attackers move through blind spots. Data leaks. Legacy security allows risk to pass as normal.

Part A

What Zero Trust means

Never trust. Always verify. Continuously.

Zero Trust is not a product — it's a posture. It requires verifying every request, every user, every payload, every time — regardless of where the request originates. Perimeter alone is not enough. “Inside the network” is not a trust signal.

Part B

Performance vs security trade-off

Admins disable inspection to preserve speed.

Legacy multi-process SWGs degrade severely under deep inspection load. The real-world result: security teams disable HTTPS inspection to stop complaints about slow browsing. A security tool that runs without its most critical feature is not a security tool.

Part C — Four unmet pillars

Where traditional SWGs fail.

Four layers a legacy gateway can't hold — without crippling performance.

Destinations

Destination reputation ≠ payload safety.

URL allowlists pass traffic through. Malware rides inside Google Drive, SaaS APIs, and approved cloud apps your policy explicitly trusts.

Gap: Unchecked payload

The Browser

Inspection ends at the gateway.

JavaScript, WebAssembly, and DOM execution happen on the endpoint — after your SWG has already cleared the session.

Gap: Post-gateway execution

Insiders

Trust doesn't expire with the login.

Compromised credentials and privileged users exfiltrate over channels the perimeter explicitly allows — with no continuous re-verification.

Gap: Session not re-verified

Data Egress

Encrypted traffic is a blind spot.

Sensitive data exits via HTTPS and WebSockets — invisible to gateways that inspect headers and URL lists, not content.

Gap: Encrypted blind spot

Go deeper — the full thesis

Read the architecture, end to end.

The complete Zero Trust web security thesis — identities, apps, and internet destinations.

Closing the Zero Trust Gap in Web Security

whitepaper-zero-trust-web-security.pdf

Prefer to read later?

Download PDF

Ready to close the gap?

See how SafeSquid addresses every failure point — simultaneously.

No trade-offs. No inspection blind spots. No Squid limitations.

Zero TrustRBI includedMulti-thread

The solution

Introducing SafeSquid SWG

Zero Trust web security. No trade-offs.

Designed from first principles as an HTTP(S) proxy for Zero Trust — not retro-fitted from a web cache. Every inspection engine shares full session context inside one tightly coupled architecture, in real time.

Not a Squid fork·Multi-threaded core·RBI included

Full SWG pipeline — tap to explore in detail.

Innovation 01

The paradigm shift: multi-threaded, not multi-process.

Eliminating the processing bottleneck through shared memory architecture — so deep inspection never trades off against speed.

Legacy · Multi-process

External IPC. No shared context.

  • Structured data locked inside isolated processes
  • External IPC chains to share context
  • Payload copied for every parallel scan

SafeSquid · Multi-threaded

Shared memory. Parallel by design.

  • Compact multi-threaded network application
  • Security engines in shared memory — zero-copy
  • Parallel threads, one live session context
Benefit

Zero-copy handoff between engines · Efficient parallel processing · No latency penalty for deep inspection

Multi-threaded vs multi-process — tap to explore in detail.

Innovation 02

Contextual intelligence: a neural network for traffic.

Every processor runs in parallel on the same data — no copies, no serial bottleneck. Results fuse into one contextually-aware decision per transaction.

Whitepaper slide — tap to explore the full neural network in detail.

Neuron collaboration

Profiling neurons classify protocol and payload structure together — not in isolation.

Real-time intelligence

Structured data pools share context across every active connection instantly.

Correlation

Unravels protocol and payload, validates against policy before re-transmission.

Parallel engines·Malware Scanner · DLP Engine · URL Classifier · Protocol Inspector · Neural Net Profiler · Anti-Phish Engine · SSL Inspector

Fused output → Allow·Block·Sanitize·Isolate

Three innovations · One architecture

Built for depth, speed, and isolation — together.

01

Multi-threaded core

Shared memory architecture — no IPC overhead, no trade-offs.

02

Parallel processors

Every security engine runs on the same data, in parallel.

03

Remote browser isolation

Browser at the perimeter. Included free — not a bolt-on.

Innovation 03 · Biggest differentiator

The browser runs at your perimeter. Not on your network.

Remote Browser Isolation creates a permanent digital air gap — only a sanitized pixel stream and scanned downloads reach the endpoint. Included free. Competitors charge ~$55/user/month.

Digital air gap

Browser at the perimeter — pixels only in

WebSocket pixel stream · scanned downloads

UNTRUSTED WEBSAFESQUID RBIENTERPRISE ENDPOINTJSDOMPluginsZero-dayAIR GAPIsolated renderSafe pixel feedAPPROVED DOWNLOADS ONLY — SCANNED

Digital air-gapping

Six capabilities that make perimeter isolation deployable at scale.

Lightweight

Minimal resource footprint on standard infrastructure — no dedicated hardware.

Scalable

SMP-aware architecture scales from small teams to enterprise-wide deployments.

Fully Customizable

Open architecture for tailored isolation policies that match your security posture.

Access & Privilege Management

Seamless authentication and granular privilege controls for isolated sessions.

VDI Integration

Optional virtual desktop infrastructure for complete endpoint isolation.

Enterprise Control

Full administrative ownership of policies and configurations — under your team.

What enters your enterprise

  • Pixel stream of the rendered page
  • Explicitly approved downloads — scanned first

What never crosses the gap

  • No JavaScript, DOM, or plugins
  • No zero-day browser exploits
  • No drive-by downloads or redirects

Users browse normally — no VPN, no agent, no workflow change. Feels like a standard session.

Learn more →

~$660K/year saved·1,000-user enterprise vs. standalone RBI pricing

Made in India · Client-driven innovations

Built for real problems. Proven in production.

Client innovations from aviation, energy, and banking — each started as a specific problem, not a product roadmap item.

Data exfiltration prevention — secure web gateway blocking credential theft
Safran Group (Aviation)

Zero data exfiltration incidents post-deployment

Aerospace and defence manufacturer deployed SafeSquid SWG across global facilities, replacing a legacy UTM stack. Full HTTPS inspection maintained for 10,000+ users with zero speed degradation.

Aerospace & DefenceRead case study
Zero Trust architecture — identity, devices, applications, and network segmentation
BPCLPlaceholder

Zero Trust web access at national energy infrastructure scale

Details pending from client. Case study to cover upstream threat interception, Zero Trust web access enforcement, and RBI deployment.

Energy · Public SectorRead case study
State Bank of India — enterprise banking infrastructure
State Bank of IndiaPlaceholder

Secure web access for 200,000+ staff, zero session disruption

Details pending from client. HTTPS inspection at banking-scale volumes, full audit trail compliance, DLP enforcement across 200,000+ users.

Banking · BFSIRead case study

20+ years · Made in India

Built through two decades of real threats.

SafeSquid wasn't designed in a boardroom. It evolved in response to actual attacks, actual enterprise deployments, and actual failure modes in production security infrastructure.

⚠ <SafeSquidLabs /> component — pull from main repo. Prototype layout below.

2004
Origins

SafeSquid founded

Initial release as proxy-chain filtering layer.

2007
Scale

First enterprise deployments

Multi-process Squid limitations confirmed at scale.

2009
Architecture

Multi-threaded rewrite

Shared memory pool enables real-time context.

2013
Scale

HTTPS inspection at scale

10,000+ concurrent sessions validated.

2017
Intelligence

Security Correlation Engine

Neural-net profiling. Fused decision per transaction.

2019
Differentiator

RBI — bundled free

Pixel streaming at perimeter. Included at no extra cost.

2024
Today

SafeSquid SWG current gen

1,000+ installations. 20M+ users secured.

Get started

Stop inspecting the perimeter. Start controlling it.

Free guided pilot. No lock-in. No per-user RBI surcharge.

FreeRBI included
0+Years proven
1,000+Deployments
20M+Users secured
Made in IndiaSovereign stack

Enterprise compliance & sector trust

  • ISO 27001Certified
  • SOC 2Type II ready
  • BFSIBanking grade
  • DefenceSector deploys
  • GDPRCompliant