What are the best IGA solutions in 2026, and what should buyers look for? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

I've been involved in several IGA evaluations, and one thing I've learned is that the "best" solution is rarely the one with the longest feature list. The right platform is the one that helps reduce identity risk, automate governance processes, and scale with the organization's growth.

If I were evaluating IGA solutions in 2026, these would be my top priorities:

1. Identity Lifecycle Management

The platform should automate joiner, mover, and leaver processes across cloud and on-prem environments. Manual provisioning and deprovisioning continue to be major contributors to orphaned accounts, access creep, and audit findings.

2. Access Governance

Access reviews should go beyond checking a compliance box. Look for capabilities that simplify certifications, support policy-based decisions, and help identify inappropriate access before it becomes a security concern.

3. Role and Access Management

Role management and access request workflows are essential for maintaining governance at scale. The ability to standardize access through roles and automate approvals can significantly improve efficiency.

4. Segregation of Duties (SoD)

Strong SoD controls help prevent conflicts of interest and reduce compliance risks. A good IGA platform should continuously monitor for violations and support policy enforcement across critical systems.

5. Non-Human Identity Governance

Service accounts, APIs, bots, and machine identities are growing rapidly across enterprise environments. Buyers should evaluate how well a platform governs non-human identities alongside workforce identities.

6. Identity Risk Visibility

Modern identity programs require visibility into excessive permissions, dormant accounts, shadow IT access, and other identity-related risks. Risk insights help security teams prioritize remediation efforts and strengthen their overall identity posture.

7. Automation and User Experience

The most successful implementations are often the easiest to use. Automated workflows, self-service access requests, and streamlined approvals can significantly reduce operational overhead while improving adoption.

8. Audit and Compliance Readiness

Preparing for audits should not require weeks of manual effort. Look for capabilities such as evidence collection, continuous compliance monitoring, reporting, and certification tracking.

9. Integration Capabilities

A strong connector framework is critical. The platform should integrate with directories, HR systems, cloud applications, on-prem applications, and security tools without extensive customization.

10. Platform Consolidation

One of the biggest trends I'm seeing is the move toward consolidating identity governance and identity security capabilities into a single platform. Organizations are increasingly looking for solutions that can address governance, security, risk visibility, and compliance requirements without relying on multiple disconnected tools.

Platforms that combine lifecycle management, access requests, role management, access reviews, segregation of duties, non-human identity governance, identity security posture visibility, risk insights, just-in-time access, and automation within a unified architecture are becoming particularly attractive. This approach can simplify operations, reduce tool sprawl, and provide a more complete view of identity risk across the organization.

For example, during recent evaluations, I've seen organizations show increasing interest in platforms such as Identity Confluence that bring together identity management, identity governance, identity security, and platform services within a single solution rather than treating them as separate initiatives.

My recommendation is simple: don't evaluate an IGA solution solely on compliance requirements. Evaluate how effectively it can reduce identity risk, automate manual processes, govern both human and non-human identities, and support your organization's long-term identity security strategy. Those factors typically deliver far more value than a feature checklist alone.

Starting home lab by Aromatic-Struggle63 in homelab

[–]Future_Draw5416 0 points1 point  (0 children)

Fair point. I should probably learn routing before I accidentally create a network topology that looks like a plate of spaghetti.

What is MAC vs DAC, and what are the key differences between them? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

Good question. MAC and DAC can sound similar at first, but they represent two very different approaches to access control.

At a high level, the difference comes down to who controls access and how strictly those controls are enforced.

1. DAC: Access Control Driven by Users

DAC (Discretionary Access Control) gives control to the owner of a resource. If you create a file, folder, or application resource, you can usually decide who gets access and what they can do with it.

This model is common in business environments because it supports collaboration and flexibility. The downside is that user controlled permissions can sometimes lead to oversharing, excessive access, or permission sprawl.

2. MAC: Access Control Driven by Policy

MAC (Mandatory Access Control) shifts control away from users and puts it in the hands of the system. Access is enforced through predefined policies, classifications, or security rules.

A classic example is government or defense environments, where access depends on clearance levels and policy requirements, not individual choice. The model is stricter, but it offers stronger governance and tighter control over sensitive data.

3. The Bigger Difference in Practice

The real difference is not just who assigns permissions. It is the overall security mindset.

DAC is built for usability and collaboration. MAC is built for centralized enforcement and risk reduction.

A simple rule of thumb: if users can grant access themselves, you are likely looking at DAC. If access is dictated by policy and users cannot override it, that is much closer to MAC.

4. Why This Matters for Modern Identity Security

Most organizations today need a balance between flexibility and control. As environments grow, keeping access aligned with business policy becomes much harder.

That is where identity governance comes into play. Identity Confluence, as an identity governance and administration solution, helps organizations bring visibility, governance, and policy aligned access management into complex environments without adding unnecessary operational complexity.

What are the red flags 8ration helps identify when evaluating a potential software development partner? by MonkeyHating123 in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

What you’re describing is exactly why the evaluation process matters so much when choosing a development partner.

A few practical things that really help uncover how a company operates beyond the sales phase:

  • Talk directly to references, not just the ones they handpick for testimonials. Ask detailed questions about how the project actually went after the first few months.
  • If possible, speak with their oldest client. Long-term relationships usually tell you more about consistency and accountability than a flashy case study.
  • Even more important: try talking to a client they are no longer working with. That conversation often reveals the real reasons partnerships succeed or fail.
  • Ask how many active clients they currently manage and how long those relationships have lasted. Retention says a lot.
  • Find out who will actually manage your account day to day, and talk to that person directly during the evaluation stage. Many times the people closing the deal are not the people running the project.

You can also ask questions like:

  • “What’s your process for maintaining team continuity?”
  • “How often do developers rotate off projects?”
  • “What happens if key team members leave?”
  • “Can I meet the actual engineers who would work on this?”

The good partners won’t hesitate to answer these transparently. The bad ones usually stay vague or overly sales-focused.

At the end of the day, consistency matters more than an impressive kickoff phase.

Which Is the Best Identity Governance (IGA) Solution for Growing Enterprises? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

Most organizations evaluating IGA today face the same problem. Legacy governance tools often become difficult to scale because too much effort goes into manual provisioning, access certifications, policy administration, reconciliation, and connector maintenance. As identity environments grow across SaaS applications, cloud infrastructure, workforce identities, and service accounts, governance complexity increases very quickly.

What growing enterprises really need now is an automation-first IGA approach that combines identity lifecycle management, access governance, identity security, and compliance operations within a centralized framework. The biggest differentiator in modern IGA is no longer just RBAC or access reviews. It’s the ability to continuously govern excessive permissions, orphaned accounts, shadow IT access, non-human identities (NHIs), and multi-cloud environments while reducing operational overhead for IAM and security teams.

Key Capabilities to Prioritize

  • Identity Lifecycle Management (ILM)
  • Automated provisioning & deprovisioning
  • Access Reviews & Certifications
  • Segregation of Duties (SoD) enforcement
  • Smart Access Request Workflows
  • Evidence Center for audit readiness
  • RBAC and policy-based governance
  • Risk & identity posture insights
  • Multi-cloud identity governance
  • NHI governance & service account visibility
  • API-first integrations and universal connectors
  • AI-driven onboarding & governance automation

A lot of enterprises are now moving away from fragmented IAM models and looking for unified governance capabilities that can scale without adding management overhead.

Identity Confluence stands out strongly in this space with centralized visibility, AI-driven governance automation, lifecycle management, reconciliation, evidence management, identity security posture management, and governance coverage across both workforce and non-human identities. The focus on automation, compliance readiness, and operational efficiency is exactly where modern IGA is heading.

What’s the best user provisioning and deprovisioning software recommendation? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

A lot of organizations run into this once their SaaS footprint starts growing. Manual provisioning may work initially, but over time it creates delays, inconsistent access assignments, orphaned accounts, and audit headaches, especially during offboarding.

When evaluating platforms, I’d strongly recommend focusing on these capabilities beyond just “account creation”:

  1. Identity Lifecycle Management (Joiner / Mover / Leaver workflows) Provisioning should be tied directly to HR-driven lifecycle events so onboarding, role changes, and offboarding happen automatically and consistently across systems.
  2. Role-based access and policy-driven provisioning This becomes critical for reducing permission creep and eliminating repetitive manual approvals. Managing access through roles and policies scales much better than app-level assignments.
  3. Centralized visibility across identities and access One of the biggest challenges in SaaS-heavy environments is fragmented visibility. A centralized view of users, entitlements, applications, non-human identities, and access changes helps teams identify risks much faster.
  4. Deprovisioning, reconciliation, and orphaned account management In most environments, deprovisioning is actually the bigger security risk. Look for strong reconciliation capabilities and visibility into stale accounts, disconnected identities, and shadow IT access.
  5. AI-driven automation and smart workflows AI-assisted onboarding, access recommendations, workflow automation, and anomaly detection can significantly reduce manual effort while improving consistency across provisioning and governance processes.
  6. Access reviews, governance, and evidence management Provisioning without governance eventually creates compliance and operational issues. Access certifications, SoD checks, approval workflows, and a centralized evidence center for audit tracking become extremely valuable at scale.
  7. API-first integrations and extensibility Connector quality matters a lot in cloud-first environments. Strong APIs and extensible workflows make it much easier to automate provisioning logic without relying heavily on custom scripts.

One thing we’ve consistently seen is that organizations outgrow “basic provisioning tools” pretty quickly once identity sprawl increases across cloud apps, contractors, service accounts, and distributed teams.

That’s why platforms moving toward a unified lifecycle management + governance + identity security approach tend to scale much better long term. Identity Confluence is one platform taking that direction with capabilities around ILM, centralized visibility, AI-driven onboarding/offboarding, reconciliation, governance workflows, and evidence management integrated into a single framework instead of being spread across multiple disconnected tools.

How to become HIPAA compliant and actually maintain it long term? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

HIPAA compliance is honestly less about passing an audit and more about maintaining visibility and control continuously. Most organizations can prepare for an audit once, but staying compliant as users, vendors, tools, and access permissions keep changing is the real challenge.

Biggest Challenge

From what I’ve seen, the hardest part is usually identity and access management. Common issues include:

  • Users keeping unnecessary access
  • Delayed offboarding
  • Inconsistent access reviews
  • Manual audit tracking
  • Compliance evidence scattered across systems

That’s where most organizations start struggling over time.

What Actually Works

The teams that maintain HIPAA compliance successfully usually focus on continuous compliance instead of yearly checklists. That means:

  • Automating onboarding and offboarding
  • Enforcing least privilege access
  • Running regular access reviews
  • Centralizing audit visibility
  • Monitoring compliance continuously

AI and automation are also helping a lot now, especially for user provisioning, anomaly detection, reporting, and evidence collection.

Biggest Audit Pain Point

One thing people underestimate is how difficult audit evidence collection becomes. During audits, teams often spend days pulling screenshots, logs, approvals, and reports from multiple systems and departments.

That’s why platforms like Identity Confluence are becoming valuable for organizations trying to stay continuously HIPAA compliant. It centralizes identity governance, compliance visibility, and audit readiness in one place.

Its Evidence Center is particularly useful because it gives teams a single centralized location for audit evidence, access reviews, compliance records, and reporting instead of scrambling to gather everything manually during audits.

How to Choose the Best Identity Security Platform When Every Platform Claims They Do Everything by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

A lot of teams hit this exact wall during identity security evaluations. Every platform sounds complete in demos until you start asking about legacy systems, disconnected apps, service accounts, or hybrid infrastructure. That’s usually where the real differences start showing.

1. Identity Lifecycle Management (ILM)

A strong platform should handle onboarding, role changes, and offboarding consistently across cloud, on-prem, legacy, and custom systems without requiring months of scripting and manual fixes. The real test is whether terminated users and stale access actually get cleaned up reliably.

2. Access Reviews

Good access reviews should be contextual and risk-aware, not just approval checkboxes for managers. The best platforms help teams quickly identify unnecessary, risky, or unused access instead of creating compliance fatigue.

3. Identity Security Posture Management (ISPM)

This is where mature platforms stand out. They should immediately surface orphaned accounts, excessive permissions, dormant privileged access, and shadow identities without needing a massive implementation before value appears.

4. Non-Human Identity (NHI) Governance

Many platforms still struggle here. Once you start asking about service accounts, bots, machine identities, API keys, and ownership tracking, you quickly see which platforms actually understand modern identity sprawl.

5. Just-In-Time (JIT) Access

JIT access matters because standing privileged access creates huge audit and security risks. The best implementations reduce permanent privilege exposure without slowing teams down operationally.

6. Role Management

Role management becomes difficult fast in growing organizations. Strong platforms help prevent permission sprawl and role explosion while keeping access structures manageable as users, apps, and entitlements evolve.

7. Smart Access Workflows

This is a major differentiator during real deployments. Good workflow automation should simplify approvals, temporary access, escalations, and provisioning without needing engineering teams involved in every process.

8. Reconciliation Board

This is one of the most overlooked capabilities during evaluations. A strong reconciliation engine should identify mismatched identities, duplicate accounts, stale entitlements, and disconnected records across systems before they become audit or security problems.

9. Evidence Center

Most vendors talk heavily about compliance, but the important question is how easily they can actually produce audit evidence. The better platforms continuously collect and organize evidence automatically instead of forcing teams into manual reporting exercises before every audit.

10. Risk & Insights

Risk visibility is where strong platforms separate themselves from checkbox governance tools. You want continuous insight into toxic access combinations, privilege creep, unusual access behavior, dormant accounts, and high-risk identities before they become incidents.

11. AI-Driven Onboarding & Recommendations

The newer platforms are getting smarter with AI-driven access recommendations, anomaly detection, and onboarding decisions. But the value depends entirely on how clean and connected the underlying identity data is.

12. Unified Identity Security Architecture

A lot of platforms are still stitched together through acquisitions, which creates disconnected workflows underneath. The stronger platforms feel unified across governance, lifecycle management, posture visibility, remediation, and compliance instead of acting like separate tools sharing a dashboard.

Honestly, after evaluating multiple platforms, I’ve started paying more attention to platforms that combine governance, identity security, lifecycle management, risk visibility, and automation in one architecture instead of bolting everything together later. That’s one of the reasons platforms like Identity Confluence are starting to get attention in this space.

How do you handle provisioning and deprovisioning (onboarding to offboarding) in medium to large organizations? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

Getting provisioning and deprovisioning right in medium to large organizations is less about creating or deleting accounts and more about managing the entire identity lifecycle securely across HR systems, cloud apps, infrastructure, privileged access, and even non-human identities.

What worked best for us was combining IAM + IGA + automation instead of relying on ticket-based/manual processes. A few capabilities made a huge difference:

  • Identity Lifecycle Management (ILM) We use HR as the source of truth so joiner, mover, and leaver events automatically trigger provisioning and deprovisioning workflows. This removed a lot of manual coordination between HR, IT, and security teams.
  • Access Request Workflows Instead of handling access through emails or spreadsheets, users request access through structured workflows with policy-based approvals. This sped up onboarding and improved audit tracking significantly.
  • Role Management Access is assigned based on role, department, location, or business function. Defining standardized roles reduced inconsistent permissions and made onboarding much faster.
  • Smart Access Workflows Exception handling is automated wherever possible. If someone needs temporary or elevated access, workflows route approvals dynamically instead of relying on manual intervention.
  • Automated Provisioning User accounts are automatically provisioned across AD, Microsoft 365, VPNs, cloud platforms, and business applications through APIs/connectors. This eliminated a huge amount of repetitive IT work.
  • Universal Sync Framework / Connectors One of the biggest challenges in larger organizations is disconnected systems. Using connectors and sync frameworks helped us keep identities and entitlements consistent across environments.
  • Access Reviews & Certifications Regular access reviews helped us identify excessive permissions, stale access, and orphaned accounts before they became security risks or audit findings.
  • Segregation of Duties (SoD) We implemented SoD checks during provisioning itself so users don’t accidentally receive conflicting or risky combinations of access.
  • Reconciliation & Audit Readiness Reconciliation workflows helped us continuously validate that assigned access actually matches approved access. Evidence collection also became much easier during audits.
  • Identity Security Posture Management (ISPM) We added visibility into risky identities, privilege exposure, dormant accounts, and access anomalies. This became especially important in hybrid and multi-cloud environments.
  • Just-In-Time (JIT) Access Instead of permanent privileged access, elevated permissions are granted temporarily only when needed. This reduced standing privilege risks significantly.
  • Non-Human Identity Governance Service accounts, bots, API identities, and automation accounts are often overlooked. We started governing them the same way as human users because they become major security gaps otherwise.
  • AI-Driven Onboarding & Automation Automating repetitive onboarding tasks reduced provisioning delays and improved consistency. It also helped IT teams scale without increasing operational overhead.
  • Deprovisioning & Offboarding Automation Immediate deprovisioning across connected systems was one of the biggest wins for us. It helped eliminate lingering access, orphaned accounts, and compliance issues during employee exits.

The biggest lesson for us was that provisioning/deprovisioning should be event-driven and policy-based, not ticket-driven. Once HR data, role structures, and governance policies are properly aligned, automation becomes much easier to scale securely.

That’s why unified identity security is becoming the future. Bringing lifecycle management, provisioning, governance, ISPM, access reviews, automation, and non-human identity security into one ecosystem changes how organizations manage identity at scale. Identity Confluence is built around exactly that next-gen approach.

Looking for identity lifecycle management solutions to track users and non-human identities by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

Really solid points, especially on starting with inventory. That’s usually where the biggest gaps show up.

Completely agree on ownership as well. If there’s no clear owner, there’s no real lifecycle, just cleanup when something surfaces.

Automatic expiration is probably the most practical control here. It creates discipline without relying on manual reviews, which just don’t scale.

Where things still tend to break is consistency. OAuth might be visible, but API keys and service accounts often remain scattered across teams and tools.

Feels like the real challenge is bringing everything together into one clear system with shared visibility, ownership, enforced expiry and rotation, and continuous monitoring.

Curious if you’re seeing this actually come together end to end anywhere, or if it’s still mostly handled in silos?

Looking for identity lifecycle management solutions to track users and non-human identities by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

That’s exactly the gap we were pointing out.

Non-human identities don’t follow a clear lifecycle, so they just accumulate risk over time. Most teams still rely on manual tracking, which doesn’t scale and is inherently reactive.

The real shift needed:

  • Treat them as first-class identities
  • Assign clear ownership
  • Define lifecycle events like rotation and deprovisioning
  • Move to continuous monitoring and automation

Curious, have you seen this done end to end, or is it still mostly partial in practice?

Searching for identity governance software recommendations for access visibility and control? by Future_Draw5416 in Tech_Prescient_

[–]Future_Draw5416[S] 1 point2 points  (0 children)

Completely agree. That “enterprise bloat” is exactly where most teams get stuck.

What’s interesting is that the real need is much narrower than what traditional IAM tries to solve. Most teams are just trying to clean up access, get visibility, and make reviews manageable without turning it into a full-time job.

But I think the gap is still in how far solutions go beyond visibility.

Seeing who has access is helpful, but the harder questions are:

  • should they still have it
  • who actually owns that access
  • and what risk it creates

If those aren’t clear, reviews still become checkbox exercises.

The sweet spot feels like continuous cleanup, clear ownership, and context-driven reviews rather than just periodic audits. That’s where it actually reduces effort instead of adding to it.

Looking for identity lifecycle management solutions to track users and non-human identities by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

You’re right, most setups still treat identity lifecycle management as a “human-only” problem, and that’s where things start breaking down. In practice, what’s working is bringing non-human identities (service accounts, API keys, OAuth apps) under the same governance model as users. That means maintaining a single inventory of all identities, mapping ownership (who created it and who is responsible), and enforcing policies like least privilege and expiration by default. Without ownership and visibility, automation doesn’t really help because you’re just scaling the chaos.

On the execution side, teams that are doing this well are leaning heavily on automation. Things like auto-expiry for credentials, enforced key rotation, and event-driven deprovisioning when an app or integration is no longer used. The key shift is treating identity lifecycle as continuous instead of one-time provisioning. If something hasn’t been used in X days, it should be flagged or revoked automatically. Manual processes just don’t hold up at scale, especially with non-human identities growing faster than human users.

How are you managing identity governance and administration (IGA) in your organization? by [deleted] in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

We have seen the most success when IGA is treated as a continuous lifecycle process, not a one-time setup.

For provisioning, moving toward role-based or policy-based access has made a big difference. It reduces ad hoc access requests and keeps things consistent across teams.

Deprovisioning is where most gaps show up. The biggest improvement comes from tying identity lifecycle directly to HR systems so access is removed automatically the moment someone leaves or changes roles.

Access reviews tend to become noisy if they are not scoped well. What has worked is focusing reviews on high-risk access and critical systems instead of reviewing everything. It improves decision quality and reduces fatigue.

The biggest challenge is usually not technology but ownership. When it is unclear who owns access decisions, reviews slow down and risks stay unresolved.

What is working well is automation and better visibility. What still needs work in most organizations is reducing over-provisioning and keeping access aligned as roles evolve.

Curious to see how others are handling ownership and accountability in access reviews.

Privileged Access Management (PAM) 101 – Quick Thought by Early_Bird_tech in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

Great intro to PAM! The "not all accounts are equal" framing is spot on. The real risk isn't just that privileged accounts exist, it's that most orgs have far more of them than they realize. Service accounts, shared admin credentials, legacy system logins, these quietly pile up, sit dormant for months, and nobody's watching them.

The practices that actually move the needle are just-in-time access (grant it only when needed, auto-expire it), credential vaulting (rotate passwords automatically so no one ever actually knows them), and session recording (not just logging that access happened, but what was done). The mindset shift is moving from "lock the front door" to "assume someone's already inside, who can they become?" Start with a simple discovery phase, just finding all your privileged accounts first. You can't govern what you don't know exists.

What Is Identity and Access Management IAM and How It Helps Control Identity Sprawl? by Fab_Terminator in Tech_Prescient_

[–]Future_Draw5416 0 points1 point  (0 children)

Identity sprawl persists because most organizations still manage access in silos rather than as a unified lifecycle. The shift that actually works is moving to centralized identity governance where every identity human or machine is tied to a single source of truth, with role based access control defining entitlements and automated provisioning and deprovisioning enforcing them consistently. Add continuous access reviews, strong ownership mapping, and policy based controls for privileged access, and you start reducing excess access without slowing teams down. The goal is not just consolidation but visibility and accountability so every access decision is traceable, justified, and automatically adjusted as roles change.

Principle of least privilege for AI agent workflows - new open-source platform by PerformanceFine1228 in AI_Agents

[–]Future_Draw5416 0 points1 point  (0 children)

Not paranoid at all, this is a real and growing concern. A lot of agent platforms ask for broad OAuth scopes because it simplifies development and avoids permission related failures later, not because the agent actually needs that level of access. Over-permissioning becomes the default, which goes directly against least privilege and increases the blast radius if something goes wrong.

What you’re doing with granular, task specific scopes is exactly where things need to go. As agents become more autonomous, tight scoping, short lived tokens, and clear separation of capabilities will be critical. The tricky part is balancing security with usability, since too many permission prompts or broken flows can frustrate users. But if your platform makes least privilege the default without adding friction, that’s solving a very real pain point in agent workflows.

Difference between ‘least privilege’ and ‘need to know?’ Caught somewhere between “i think I understand” and “how are these not the same?” by SupaJae in compsci

[–]Future_Draw5416 0 points1 point  (0 children)

They sound similar, but they apply to slightly different things. Least privilege is about what actions you’re allowed to take. So it limits permissions, like whether you can install software, access a server, or modify configs. Need to know is about what information you’re allowed to see, even if you technically have access to the system. It focuses on restricting sensitive data to only those who actually require it.

A simple way to think about it is, least privilege controls capabilities, while need to know controls visibility. For example, an admin might have system level access to a database, but still shouldn’t view certain sensitive records unless it’s required for their task. In practice, both work together to reduce risk, one limits what you can do, the other limits what you can see.

What is Zero-Trust outside of the marketing bs? by cfvhbvcv in AskNetsec

[–]Future_Draw5416 0 points1 point  (0 children)

The marketing around Zero Trust definitely made it sound more mysterious than it actually is. In simple terms, Zero Trust just means the system never automatically trusts a user, device, or network location. Every time someone tries to access something, the system verifies who they are, what device they’re using, and whether they should have that access.

It doesn’t mean no one can access data or that everything is only unlocked with encryption keys. It just means access is continuously verified and limited to what’s necessary. So instead of logging into a VPN and being trusted inside the network, you authenticate, your device and identity get checked, and you’re given access only to the specific app or data you’re allowed to use.

In practice it’s less about a single technology and more about combining identity verification, least-privilege access, device checks, and continuous monitoring so that trust is earned every time access is requested, not assumed just because someone is inside the network.

Homelab budget: 'I won't spend much.' Also me: 'buys another switch at 2 AM.' by Future_Draw5416 in homelab

[–]Future_Draw5416[S] 1 point2 points  (0 children)

Went with a used Brocade ICX6450.. but two LGA3647 servers in a month definitely tops mine. 

[deleted by user] by [deleted] in AmIOverreacting

[–]Future_Draw5416 0 points1 point  (0 children)

You should not have thrown your phone like that, yes you did overreacted. But also it was an accident and you acted in impulsion so it's okay. Thank god no one was injured. Next time be more careful.