I will build your personal brand on LinkedIn | LinkedIn Organic Growth Strategist | Content Marketing | LinkedIn B2B Marketing

Vedika Bhaia

Founder

We mostly help people with:
-Social Media Marketing, 
-Content Marketing 
-LinkedIn Marketing

So far I've taught over 4000+ people about How to  make your LinkedIn account a Lead Magnet. My entire Linkedin Startegy (from 300 to 165k followers) on a plate, served hot.

this image broke my brain a little.
go talk to anyone outside your bubble for 5 minutes.
most people don't even know what claude is. or perplexity. or cursor.

let me breakdown the image for you

each dot = 3.2 million people.
2,500 dots for 8.1 billion humans.

84% of those dots are grey, which means 6.8 billion people have never touched AI.
not "don't use it regularly." 
never used it. not once.

green = 1.3 billion free chatbot users. 
yellow = 15-25 million paying users. 0.3%. 
red = 2-5 million building with AI. 0.04%.

we sit in that red dot arguing about saturation.
6.8 billion people haven't even shown up yet. the doors haven't opened.

this is what first mover advantage will look like if you learn AI.

this is the most powerful content writing prompt you’ll ever use.
plug this into Claude with 3-5 of your best posts, and it will literally write LinkedIn content that sounds exactly like you.

hooks, personal stories, founder content, thought leadership posts - literally anything.

takes less than 10 minutes to set up and you don't need to comment anything to get the prompt lol

saw this on reddit and it's been stuck in my head since.
after your first 20-30 crore, a paid-off flat, and a decent car, there is no real difference in quality of life between you and a billionaire. 

you both have the same 24 hours. you both sit in the same traffic. you probably have more free time than him. 

so who's actually richer?
a plate of dal chawal tastes the same whether a billionaire eats it or you do.

money is a piece of paper or a number in your app. 
real life is chai on the balcony, morning walks, calling your mother without needing a reason.

become financially independent in India, that's roughly 20-30 crore, maybe lesser. 

eat good home cooked food. keep your relationships close. move your body. sleep well. call your parents. 

that's all there is to life. greed has no end. ask anyone stuck chasing the next promotion for the last ten years.

time is the currency of life. money is not.

the man with 50 crore in the bank but no time to attend his kid's annual day is not rich. 

the man who takes 3pm walks and eats lunch with his family is.
the sooner you figure this out, the happier you will be.

EDIT: too many comments, so sharing the link here: https://lnkd.in/gqN2Q49r

claude opus 4.6 just dropped and your feed is about to be flooded with prompt lists. most of them are useless without context. here's what actually works and why. (giveaway at the end)

instead of saving prompt lists you'll never open again, just try these 4. i use them almost every day.

1. creating SOPs without losing your mind

most people prompt: "help me create an SOP for onboarding clients"
that's like walking into a restaurant and saying "make food."
prompt this instead:
"you're an operations specialist. create a step-by-step client onboarding SOP for a [your industry] agency. the process starts when a client signs the contract and ends after [first deliverable]. include: exact timeline (day 1, day 2, etc.), who's responsible for each step (account manager vs content writer vs designer), what tools are used at each stage, and red flags to watch for. format it so a new hire with zero experience could follow it perfectly."
why it works: you gave it a role, a clear start and end point, specific structure, and a benchmark for quality. that's the difference between a generic checklist and something you'd actually hand to your team.

2. dissecting a viral post
most people prompt: "why did this post go viral"
prompt this instead:
"here's a linkedin post that got 50,000+ impressions [paste post]. do a full dissection: rate the hook out of 10 and explain why it works or doesn't. analyze the structure — white space, scannability, story flow. evaluate the CTA. identify the emotional trigger (curiosity, FOMO, personal confession, controversy). tell me what content bucket this falls into. then give me a reusable template where i can swap the topic but keep the same structure."

3. sales call prep
most people prompt: "help me prepare for a sales call"
prompt this instead:
"i have a discovery call tomorrow with a [role] who runs a [company size/type]. they found us through [channel]. help me prepare: 5 questions to uncover their pain points, 3 specific things i should observe about their linkedin before the call, 2 ways to frame pricing without leading with the number, a one-liner that communicates our value without sounding like a pitch, and the 3 most common objections someone at this level has — with my response to each."

i've put together 100 prompts like these for content writing, sales, outreach, hiring, and daily learning.
 
comment "PROMPT" and i'll send them to you.

People tell me i'm disciplined because i've worked out 3-4 times a week for 5 years. discipline actually has nothing to do with it.

At some point, going to the gym stopped being a decision. it became who i am. there's no internal debate. no "should i go today?" i just go. the same way i brush my teeth.

and i think that's what most people get wrong about change. they focus on what they want. "i want to lose 5kg." "i want to earn more." "i want better relationships."

when you chase outcomes, you have to make a decision every single day. the only thing driving you is a result that isn't here yet. so every morning becomes "do i feel like it today?" and some days you won't. so you skip. then you skip again. then you're "starting fresh from monday" for the third time this year.

you don't get what you want. you get who you are.

your income reflects what you believe you're allowed to earn. your relationships reflect what you believe you deserve. your health reflects how you relate to your body. nothing in my life changed until my identity changed. not my goals. not my habits. my identity.

there are three layers to change. outcomes (what you get), processes (what you do), identity (who you are). most people start at layer 1. maybe work on layer 2. real change happens when you flip it.

instead of "i want to be fit," i asked "what does a fit person do?" a fit person trains. they don't negotiate with themselves. so i train. not because i'm chasing a goal. because that's just who i am.

simple.

Without naming your  job, tell me something you say 100 times everyday at work.
Here’s mine: “the hook sounds too AI. rewrite it.”

No alternative text description for this image

this week in AI was not normal. read this post slowly and carefully if you use ANY AI tool.

--> the head of safety research at Anthropic quit. said "the world is in peril." moved to the UK to write poetry and "become invisible."

--> half of xAI's co-founders have now left. the latest one said recursive self-improvement loops go live within the next 12 months.

--> anthropic's own safety report revealed something wild → claude can detect when it's being tested and changes its behavior accordingly.

--> yoshua bengio, one of the godfathers of AI, confirmed it. "we're seeing AIs whose behavior when tested is different from when they're being used." and no, it's not a coincidence.

--> bytedance released seedance 2.0. a filmmaker with 7 years of experience said 90% of his skills can already be replaced by it.

--> the US government declined to back the 2026 international AI safety report. first time ever.

i'm not trying to fear monger. this is just what happened in one week.

what do you guys think?

source: @milesdeutscher

i scroll past more posts on LinkedIn because all it’s full of AI slop 
the classic em dash ( — ) , “here's what nobody talks about..” etc 
let me give you a prompt to end this:

see i use AI every day at my agency. my team uses it too. AI is not the problem. lazy prompting is which is why most of you say things like:

--> posts that open with "most people think X. but here's what nobody talks about..."
I've read that exact line 40 times this week from 40 different people.

--> em dashes thrown in everywhere for no reason. five of them in a single post. AI just can't stop.

--> "and do you know what i learned from all this?" 
nobody talks like that in real life.

--> "the kicker?"
who talks like this

--> Classic emoji subheadings: 
🚀 stop we are not in class 2💡 

so doing myself a favour and made this prompt that strips out all of these patterns and actually makes your content sound like you wrote it.

I’m someone who usually can tell if a video is AI or not immediately, but holy shit what did I just see.

6 months ago, AI videos were painfully obvious. 

stiff movements. dead expressions. weird robotic speech.
cut-to now they have
→ natural head movements 
→ casual "umms" in speech 
→ the person looks away from camera while thinking 
→ slight hand gestures while talking

I didn’t even think it video was AI tell I realized this never happened in breaking bad lol

to know which tools were used comment tools and i'll send it to you. 

just kidding, this was made using Seedance and Kling.

A hacker used Claude to steal 150GB of Mexican government data. 
the same Claude my team uses for 70% of our work. 
Here's how Claude agreed to it:

--> they told Claude they were doing a bug bounty
--> Claude said no, this violates safety guidelines
--> the hacker just kept asking
--> Claude gave in

once it agreed, it went all in:
--> wrote attack scripts
--> found vulnerabilities
--> generated thousands of reports telling the hacker exactly what to go after next

the hacker got into Mexico's federal tax authority, the national electoral institute, and four state governments. walked away with 195 million taxpayer records, voter data, and government employee credentials.

this isn't a reason to stop using AI. it's a reason to take AI security seriously. because right now most companies (including governments apparently) aren't ready for what's coming.

claude i still love you though, and will keep using you, just not to hack the government lol

Microsoft Security Architect | AI-Enabled Strategy | Building Global-Scale Microsoft Ecosystems

I don’t just build secure Microsoft environments, I design clarity and confidence for teams operating in high-stakes, high-trust environments.

From banks securing regulated workloads, to founders building SaaS platforms, to government teams navigating compliance, I’m trusted to architect Microsoft cloud infrastructures that stand up to scrutiny, scale, and stress.

My work lives at the intersection of:

•	Security that’s intentional, not reactive
•	Architecture that aligns with business, not just best practices
•	Compliance that enables innovation instead of restricting it

I specialize in Microsoft Azure, Microsoft 365, Entra ID, Defender, Sentinel, and Purview and I’ve led cloud transformations involving multi-tenant migrations, zero-trust enforcement, and global security posture design.

My goal isn’t to "deliver a solution."
My goal is to be the architect they call when the margin for error is zero and trust is the real deliverable.

Rana Usman Ahmad

Email or Microsoft Teams, which one is more secure?

Email is still the #1 attack entry point.
 Phishing.
 Malicious attachments.
 Credential theft.

Teams feels safer but it isn’t immune.
• Files can be weaponized
 • Links can still deliver payloads
 • Trust is often assumed inside Teams

Security isn’t about choosing one over the other.
 It’s about protecting both communication channels.

That’s why message-level protection matters,
 and why Defender now extends visibility into Teams.

 Save this if your organization relies heavily on Teams
 Repost it if security conversations still focus only on email

Which platform do you think is more underestimated from a security perspective, Email or Teams?


#CyberSecurity #MicrosoftSecurity #CloudSecurity #ITSecurity #SecurityAwareness

Microsoft Security Architect | AI-Enabled Strategist | Building Global-Scale Microsoft Ecosystems

In one enterprise engagement I worked on,
 the compromise itself wasn’t the real issue.

I’ve seen identities get compromised before.
 That part is expected.

What changed everything was this:
The account had standing admin rights.

Not just-in-time.
 Not time-bound.
 Permanent access.

So when the identity was breached,
 the blast radius wasn’t limited.

The attacker didn’t need to escalate.
 They didn’t need to be loud.

They already had what they needed.

That experience reinforced something I strongly believe:
Security maturity is not about preventing compromise.

 It’s about controlling privilege before compromise happens.

Zero Trust isn’t a framework you deploy.
 It’s a discipline you enforce.

Now I’m curious to hear from others working in cloud security:

In real environments, what creates more risk?
A) Identity compromise
 B) Standing privileged access

Drop your thoughts below 

#DevSecOps #CASB #CSPM #ZeroTrustArchitecture #GCPSecurity #AzureSecurity #CloudSecurity #CloudGovernance #IdentitySecurity #MicrosoftSecurity

Most cybersecurity budgets are wasted.
Not because companies don’t spend enough.

Because they spend without ownership.

I’ve reviewed environments with:
• SIEM fully deployed
 • E5 licensing active
 • Endpoint protection enabled
 • MFA enforced

Yet no one owns:
• Weekly threat review
 • Identity hygiene
 • Alert tuning discipline
 • Executive reporting alignment

Security tools don’t fail.
Operating models do.

Buying more AI-powered security will not fix governance gaps.
It will just create faster noise.

Here’s the uncomfortable question:

If your security lead left tomorrow…
Would your security program continue running smoothly?

Or would it stall?

That’s how you measure maturity.

Security leaders, agree or disagree?

Everything looked secure.
 The breach was already in progress.

This happened in a real banking environment.

They had:
 • Defender for Endpoint
 • Defender for Identity
 • Sentinel
 • MFA
 • Licenses in place

On paper, everything was “fine”.
What was the issue

• Alerts were piling up silently
 • No one was actively reviewing dashboards
 • Security existed, but the process didn’t

It started small.
• A user logged in from a foreign IP
 • 2:14 AM
 • Outside the usual regional pattern

The SOC missed it.
 Our review process didn’t.

What we did
• Flagged and escalated off-region activity
 • Tracked lateral movement via Defender for Endpoint
 • Detected service account access through Defender for Identity
 • Correlated multi-device sign-ins in Sentinel

That’s when it became clear:
 An attacker was already inside, pivoting and escalating.

The outcome
• Breach stopped before reaching a core SQL server
 • Estimated exposure avoided: ~$500,000
 • No data loss
 • No regulatory fallout

The real lesson
Security tools don’t stop breaches.
 Architecture, visibility, and process do.

You don’t need more tools.
 You need clarity, coverage, and control.

What’s the most common security issue you keep seeing repeated across environments?

 Repost if you’ve seen environments like this
  Save it if you work in cloud or security architecture

#CyberSecurity #CloudSecurity #InformationSecurity

They had everything.

E5 licenses.
 MFA enabled.
 Dashboards connected.

They still almost had a financial breach.
This was a mid-sized banking environment.

They had:
• Microsoft Defender for Endpoint
 • Microsoft Defender for Identity
 • Microsoft Sentinel

All deployed.
But no one was looking at them properly.

Alerts were stacking up silently.

It started with something small.

A login at 2:14 AM
 From a foreign IP.

The SOC missed it.
Our weekly review process didn’t.

We had implemented one simple rule:
Tag and escalate any activity outside regional geolocation.

That’s when things escalated.
Defender for Endpoint showed lateral movement.

 Defender for Identity flagged abnormal service account access.
 Sentinel correlated logins from multiple devices.

An attacker was already inside the network.
Pivoting.
 Escalating.
 Attempting credential dumping.

One more week…
And they would have hit a core SQL server holding confidential banking data.

Estimated exposure?
~$500,000 in fines and reputational damage.

What stopped it?
Not the tools.
The architecture.

Here’s what we changed immediately:
• Tightened Conditional Access based on risk score
 • Automated endpoint isolation
 • Risky user blocking
 • Correlated escalation dashboards
 • Weekly triage reviews

That’s when the client understood:
Defender alone isn’t the solution.

The system around Defender is.

Security isn’t about more features.
It’s about clarity.
 Coverage.
 Control.

SOC teams, honest question:
Are you actively hunting signals across identity + endpoint + SIEM,
 or waiting for alerts to tell you something is wrong?

Most breaches I investigate don’t start with malware.

They start with identity neglect.

Then:
In this carousel, I’ve outlined 5 identity gaps I repeatedly see inside enterprise environments, even in well-funded security programs.
Identity is no longer a support function.

It is the control plane of modern security.

Security leaders, which of these gaps have you encountered?

Most breaches I investigate don’t start with malware.

We’ll notice if something goes wrong.

That assumption has cost organizations millions.
Most cloud breaches don’t start with alarms.

 They start quietly.
• Normal user behavior
 • Slow lateral movement
 • No obvious alerts
 • Everything looks… fine

This PDF breaks down 7 cloud security assumptions that teams rely on every day, and why attackers love them.

Not more tools.
 Not more dashboards.

 Just clarity on where blind spots actually exist.

 Save this if you work in cloud or security
  Repost if these assumptions sound familiar

Which assumption do you see most often in real environments?


#CloudSecurity #CyberSecurity #MicrosoftSecurity #ZeroTrust #SecurityAwareness #CloudComputing

We’ll notice if something goes wrong.

80% of Fortune 500 companies are already using active AI agents.

Not in experiments.
 Not in labs.
 In production.

Across finance, manufacturing, retail, and software, AI agents are drafting proposals, analyzing financial data, triaging security alerts, and automating workflows at machine speed.

But here’s what I’ve noticed in enterprise environments:

Adoption is scaling faster than observability.

Many organizations cannot confidently answer:
• How many agents are running?
 • Who owns them?
 • What data do they access?
 • Which agents are unsanctioned?

AI agents act.
 They access data.
 They make decisions.

 And increasingly, they interact with other agents.

That changes the risk profile fundamentally.

Governance and security are not the same thing, and both are now business-critical.

In this PDF, I break down:
• The rise of human-led AI agents
 • The observability gap
 • Why Zero Trust principles must extend to non-human identities
 • The five core capabilities required to govern AI at scale

AI risk is no longer theoretical.
 It’s operational.

Now I’m curious:
Do you believe most organizations are prepared to govern AI agents at scale?

Yes
 or
 We’re still catching up

Let’s discuss 

#CloudSecurity #AISecurity #ZeroTrust #AI #MicrosoftSecurity #CyberSecurity #EnterpriseRisk #Governance

80% of Fortune 500 companies

I recently reviewed multiple research studies (2018–2025) on AI-driven cloud security in threat detection.

What stood out wasn’t the innovation.

It was the pattern.

Across SIEM, XDR, SOAR, IDS/IPS, anomaly detection, and cloud-native frameworks, the findings are consistent:
AI improves detection speed.
 AI reduces response time.
 AI enhances automation.
 AI lowers false positives (when implemented correctly).

But every single study also highlights the same friction points:
• Integration complexity
 • Over-reliance on automation
 • Data quality dependency
 • Interpretability challenges
 • Human–AI collaboration gaps

The narrative isn’t “AI will replace security teams.”

The real shift is this:
AI is becoming the operational layer of cloud security, but governance, interpretability, and hybrid decision models remain critical.

From 2018 to 2025, research has evolved from detection efficiency to human–AI collaboration frameworks.

That’s a major signal.
Now I’m curious:
As AI becomes embedded in SIEM, XDR, and threat detection pipelines,
 what do you think will define mature security teams?


A) Full automation
 B) Hybrid human–AI decision models

Interested to hear perspectives from practitioners 


#CloudSecurity #AISecurity #ThreatDetection #SIEM #XDR #SOAR #CyberSecurityResearch #ZeroTrust #SecurityOperations

Security tools don’t fail.

Security ownership does.

I’ve walked into environments with:
• Microsoft Defender for Endpoint deployed
 • Microsoft Defender for Identity connected
 • Microsoft Sentinel dashboards built
 • E5 licenses fully active

And leadership believed everything was secure.

But no one owned the review process.

Alerts stacking quietly.
 No structured triage.
 No signal correlation.
 No accountability.

Tools don’t protect organizations.
Discipline does.

SOC leaders, honest question:

Do you run a structured weekly review across identity + endpoint + SIEM?
 Or are you reacting only when something escalates?

After 10+ years in cybersecurity, here’s something that still surprises me:

Most organizations don’t fail because of lack of tools.
They fail because of false confidence.

I’ve walked into environments with:
• Enterprise licensing
 • SIEM deployed
 • Endpoint protection active
 • MFA enforced

And leadership genuinely believed they were secure.

But when we looked closer:
• No defined security review cadence
 • No ownership of identity hygiene
 • No clear executive reporting structure
 • No risk-to-business translation

Security wasn’t weak.
It was unmanaged.

The biggest shift in my career wasn’t technical.
It was understanding that cybersecurity is a leadership discipline, not just an engineering function.

Tools create capability.
Clarity creates resilience.

For those early in their security journey:
Don’t just learn products.

Learn how risk moves through a business.
That’s where real influence begins.

Many organizations assume that upgrading to Microsoft 365 E3 or E5 automatically means “we’re secure now.”

 The reality is more nuanced.

E3 covers the fundamentals, strong identity controls, encryption, and baseline compliance.

 It’s solid, stable, and enough for many environments.
E5 is where security becomes proactive instead of reactive.

 Advanced threat detection, deeper identity protection, and built-in threat intelligence change how risks are discovered and handled.

The real question isn’t which license is better.
 It’s what level of security maturity your organization is operating at.

If you’re focused on stability and compliance, E3 does the job.

 If you’re focused on anticipating attacks and reducing blast radius, E5 starts to make sense.

Licensing should follow risk, not marketing.

E3 helps you stay protected.
 E5 helps you stay ahead.


#Microsoft365 #M365Security #CloudSecurity #IdentitySecurity #Defender #Compliance #CyberSecurity #ITLeadership #SecurityArchitecture

Most cloud security incidents don’t begin with exploits.

 They begin with identity assumptions that quietly go unchallenged.

Over the years, I’ve seen the same identity mistakes repeat across tenants, large and small.

This short checklist highlights 7 cloud identity risks that exist in almost every environment.

 Save this for your next security review.
  Repost it if your team works with cloud identities.

Most cloud security incidents don’t start with exploits.

Most breaches aren’t missed because tools failed.
 They’re missed because no one was looking.

After reviewing many environments, one pattern keeps repeating:
 Alerts exist.
 Dashboards exist.
 Reviews don’t.

Here’s a simple weekly security review that actually works.

What to review every week
• High-risk sign-ins
 • Off-region login activity
 • Privileged account usage
 • Service account sign-ins
 • Endpoint isolation events

Why this matters
• Small anomalies surface early
 • Noise stays manageable
 • Real threats don’t hide for weeks

You don’t need a new tool for this.
 You need a repeatable habit.

 Save this and run it with your team
 Repost if this would help your SOC

What part of your security stack rarely gets reviewed, but should?

#CyberSecurity #CloudSecurity #MicrosoftSecurity #SecurityArchitecture #ITSecurity

Remote access shut down Colonial Pipeline.

Not malware inside OT.
Not a PLC exploit.

A remote access pathway.

In almost every OT assessment I’ve reviewed, remote access is treated as a convenience layer, not a critical control.

That’s the mistake.
Industrial environments today are no longer isolated.

 IT connects to OT.
 Vendors connect remotely.
 Engineers troubleshoot from home.
 Cloud analytics pulls plant data.

Every one of those connections is a potential bridge into the physical world.

And here’s the uncomfortable truth:
Most OT breaches don’t require zero-days.
 They require weak credential control, flat architecture, or unmanaged vendor VPNs.

In this document, I explore why Secure Remote Access isn’t just an IT hygiene task, it’s a foundational control in modern OT risk management.

From:
• Defensible Architecture
 • Industrial DMZ placement
 • Ephemeral session design
 • Moving-target defense
 • Zero Trust in OT environments

If remote access is unavoidable (and it usually is),
 then it must be engineered, not tolerated.

Now I’m curious,
In your experience, what’s the bigger OT risk today?
Legacy systems
 or
 Uncontrolled remote access?

Let’s have a real discussion 👇


#OTSecurity #ICS #CriticalInfrastructure #ZeroTrust #IndustrialCyberSecurity #OperationalTechnology #RemoteAccess #CyberRisk

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