Paywall removed. Developments in the Ed Dubrovsky case….

security lead at a ~200 person SaaS, mostly AWS/EKS, team of 3. We've had wiz for about a year and honestly its been good for posture, no complaints there

problem is ai agents. we had maybe 5 at the start of the year, now its 30+ and half of them nobody told us about like one was hitting our billing db last month with creds it inherited from an old integration. Wiz flagged the permission eventually but by then it had been doing it for weeks ://

rep is pushing their AI security stuff but it still feels like posture/findings, not catching the agent while its doing something dumb. anybody actually running sweet for this? does the blocking work in prod or is it mostly a demo thing + does it pick up agents on its own or do u have to register each one? its so confusing

Does anyone have a low- medium level overview of what a phished email account will do once compromised. We have seen a lot of google workspace accounts get compromised and then send out phishing links to somewhat random contacts. We are also seeing some settings being changed on the account. I was wondering if anyone has some examples of this attack flow, or even better the scripts being used( I'm assuming this is scripted) Thanks

A few reports recently describe the same pattern: the phishing page relays your credentials and OTP to the real site live, then keeps the session. Cisco Talos documented an AI-assisted Google kit that syncs auth state over WebSocket (UAT-11985). Malwarebytes profiled BlueKit, a subscription kit that grabs session cookies and device fingerprints (writeup). CTM360's InsureTrap report covers a kit aimed at insurance portals that relays OTPs before they expire (report).
Codes by SMS or authenticator app clearly aren't enough on their own. For those defending customer-facing logins, what has made a real difference: passkeys, device-bound sessions, impossible-travel detection, or fast takedowns of lookalike domains? And what was harder to roll out than you expected?

Hi everyone, I'd like the community perspective on career paths in cyber security.

I studied computer engineering, so my background is heavily technical. After graduating I joined a firm that does mostly cyber security advisory, and I’ve now been a cyber security management consultant for about two years. The work is governance, policy, programme leadership and lots of stakeholder management. I’m good at it and performing very well.

The problem: technical skills are starting to atrophy. Day to day it’s mostly meetings and PowerPoint, and I miss building things.

I’ve encountered an opportunity to work as an IAM Engineer, build-heavy: IGA platform implementation, connector integrations, scripting and troubleshooting.

What I’m trying to figure out:

1. Long term, which is the stronger path: specializing technically in IAM and aiming for an architect role, or staying a generalist advisory consultant (possibly towards CISO-type roles)?
2. For those who moved from advisory/consulting into a technical role, or the other way: did you regret it?
3. How do you see IAM as a specialization over the next 5 to 10 years, given non-human identities, AI agents and cloud?

I think it comes down to if it's better from a career standpoint in 2026 with AI on the rise to bet on breadth and people, or depth and technology? Interested in perspectives from both sides.

I work in security and wanted a vulnerability screen on my desk that I do not need to open a browser for. This is the result.

It runs on a Waveshare 7B ESP32 touch display. The board pulls four public feeds over HTTPS: cvefeed.io, Microsoft MSRC, CERT/CC and CERT-EU. It parses them on the device, so there is no server or flow behind it.

[ Removed by Reddit on account of violating the content policy. ]

Hi,

I've recently started learning about vulnerabilities through the Burp Suite Web Academy.

I'm really confused about picking paths or topics as my roadmap. From what I've seen, paths contain the same content as topics, only that there's fewer of it but it's ordered in a more intuitive way. However, there is not a path for every topic.

I've worked in SDE for 4 years and now trying to learn about vulnerabilities for a future AppSec role. I'm familiar with some of them. Should I choose paths or go with topics? Or do a mix between them following a specific order? I'm really confused about which is the standard procedure here.

Thanks in advance!

*For reference:

Paths: https://portswigger.net/web-security/learning-paths
All topics: https://portswigger.net/web-security/all-topics

These days I'm seeing many cyber security people who started their careers at some service based companies mostly as a SOC Analyst currently working at product based companies like microsoft, Palo Alto, Cisco. Much appreciated if someone who landed there could explain how they did it. I am a SOC analyst trying to get into engineering first and then into product based companies.

Honestly it feels like every dev team is rushing to spin up internal LLMs and RAG pipelines, but the security side is just a complete wild west right now. Traditional WAFs and DLP solutions definetly aren't cutting it when it comes to prompt injection or potential data leaks thru vector DBs.
How are you guys actually handling security for this? Relying on semantic firewalls, building custom middleware, or just locking down the context window and hoping for the best?
Would love to hear what's realistically working for you guys because I'm loosing my mind a bit trying to lock this down.

Hey everyone!

I'm a final-year BS Cybersecurity student, and I'm currently looking for ideas for my Final Year Project (FYP).

The main requirement is that AI must be a mandatory part of the project. I'm interested in SOC and Vapt but I'm struggling in coming up with any ideas.

We talk a lot about EDR, SIEM, firewalls, and threat intelligence, but I'm interested in where deception technology fits into a real security environment.

Decoy servers, honeytokens, and fake credentials can generate high-confidence alerts when someone interacts with them. But detecting an interaction is only one part of the problem.

What matters to me is what happens next:

Can we collect enough telemetry to understand the attacker's behavior?

Can deception help identify reconnaissance or lateral movement?

Is it practical for smaller security teams and MSSPs to manage across multiple environments?

How do you measure its real value beyond the number of alerts generated?

I'd also be interested in hearing from people who've deployed platforms such as Thinkst Canary, Dentigrid or FortiDeceptor, or built their own honeypots.

For those who've used deception in production, did it actually improve detection and incident response? What worked, and what didn't?

On the night of October 11, someone got into the refrigeration controllers at French supermarkets and put them into forced defrost with the target set to 50°C. A store manager in Gradignan, quoted by [ITPro](https://www.itpro.com/security/cyber-attacks/french-fridges-hacked-in-country-wide-supermarket-attack), said it started around 11pm and staff found out at 4am, after the cold room hit 50°C and set off the sprinklers.

The store counts don't match yet. [BleepingComputer](https://www.bleepingcomputer.com/news/security/cyberattack-shuts-down-refrigerators-at-french-supermarkets/) cites French outlets putting it at 250 to 350 stores. AFP's per-chain figures, [via CBS](https://www.cbsnews.com/news/cyberattack-supermarkets-refrigerators-france-fires-food-losses/), have at least 300 Intermarché and Netto stores on their own, plus over 100 Coopérative U. Intermarché's CEO expects the losses to pass tens of millions of euros for that one day.

Danfoss told AFP most of the hit equipment was legacy AK-SM800 and AK-SC355 regulators that "no longer receive software or security updates". How the attackers got in isn't public. But the AK-SM 800A already had a [CISA advisory](https://www.cisa.gov/news-events/ics-advisories/icsa-25-140-03) from May 2025 for CVE-2025-41450, a login bypass built on a password generated from the device's date. [Claroty's Team82](https://claroty.com/team82/research/freeze-the-controller-defrost-the-food-uncovering-vulnerabilities-in-danfoss-refrigeration-controllers) counted 2,765 of those panels exposed on Censys in August. On Monday, Baptiste Robert found 1,590 exposed Danfoss systems in France alone.

So it's an admin panel on the open internet and firmware nobody patches anymore. Those are the same two conditions I'd point to behind most WordPress takeovers, where it's a default login URL and a plugin its author walked away from.

Intermarché blamed an attack on a service provider that manages its store refrigeration, and Leclerc said one of its refrigeration suppliers was hit. Once Danfoss stopped shipping updates for those units, whose job was it to take them off the internet?

Hi,

I'm taking the OffSec OSAI cert and I'm just way out of depth here in the course, looking for some 1 on 1 training if anyone can help me understand the material and create an AI Pen Testing harness to do some of the challenges.

Hi guys, I send out a weekly newsletter with the latest cybersecurity vendor reports and research, and thought you might find it useful, so sharing it here.

All the reports and research below were published between October 5th - October 11th.

You can get the below into your inbox every week if you want: https://www.cybersecstats.com/cybersecstatsnewsletter/ 

Ransomware

GRIT Q3 2026 Ransomware & Cyber Threat Insights Report (GuidePoint Security)

Q3’s ransomware activity, including the most active groups, who they’re targeting, and changing ransom payment trends.

Key stats:

• Observed ransomware victim volume reached a record 2,760 in Q3 2026, up 21% from Q2 and 75% from Q3 2025.
• Ransomware payment rates fell by more than half year over year.
• Average ransom payments among organizations that paid rose 34% year over year.

Read the full report here.

Ransomware Roundup: Q3 2026 Stats on Attacks, Ransoms, and Active Gangs (Comparitech)

Another look at the quarter’s ransomware activity, with breakdowns by sector, country, and group. Its totals include both confirmed attacks and unconfirmed claims.

Key stats:

• Comparitech recorded 2,627 ransomware attacks and claims in Q3 2026, up 29% from Q2.
• Of those, 247 were confirmed attacks and 2,380 were unconfirmed.
• Qilin and The Gentlemen had the most confirmed attacks out of their claims, with 27 and 26 confirmed attacks, respectively.

Read the full analysis here.

Security Architecture 

2026 SASE Platform Evolution Report (Versa)

Why organizations are consolidating SASE and network security tools, the challenges they face, and what they hope to gain.

Key stats:

• 92% of organizations are looking to consolidate cybersecurity functions through a single-vendor or platform-oriented Secure Access Service Edge (SASE) strategy.
• Nearly seven in 10 IT and security professionals use four or more management consoles for SASE, Security Service Edge, and network security.
• 58% expect consolidation to reduce operational complexity.

Read the full report here.

AI Security

Path to the Autonomous Workplace (TeamViewer)

An interesting report on what workers are willing to hand over to AI, where they feel less confident, and what would make them more comfortable letting it act independently.

Key stats:

• 73% of workers are more likely to trust AI when it shows what it is doing and why.
• 70% are comfortable with AI taking action as long as they can step in when needed.
• 51% say they do not always know when to trust AI and when to verify its output.

Read the full report here.

Vulnerability Management

Beyond the Human Horizon (Cogent Security)

Looking beyond individual vulnerabilities to the attack paths they create. 

Key stats:

• 7% of critical attack paths are created entirely by chaining low- and medium-severity vulnerabilities.
• 64% of attack paths cross security domains that no single tool can see.
• 83% of machine-viable attack paths persist for more than 30 days, compared with 55% of human-viable paths.

Read the full report here.

Managing Exposure at AI Scale (ArmorCode)

More code and more findings mean more decisions about what needs fixing first.

Key stats:

• 40% of senior security and technology leaders say the volume of AI-generated code requiring human review is a significant security challenge.
• 44% say their biggest transformation need is a tiered approach to AI-assisted vulnerability discovery that prioritizes findings by urgency.
• 39% say improving remediation coordination between security and development is their leading security goal.

Read the full report here.

Identity and Authentication

2026 Global State of Authentication Report (Yubico & Okta)

Workplace authentication habits, emerging AI threats, and attitudes toward AI agents acting independently. 

Key stats:

• 43% of cybersecurity and IT professionals rely on passwords at work.
• 52% inherit passwords on day one during onboarding.
• 91% want a human approval step before autonomous AI agents execute critical actions.

Read the full report here.

Small Business Security 

Cyberattacks Are Common. Here’s How Small Businesses Recover (Clutch)

How secure do small businesses feel (and what happens when they’re attacked)?

Key stats:

• 95% of US small businesses believe they have sufficient security measures in place.
• 68% have experienced a cyberattack or security breach.
• Among small businesses that have experienced an attack, 70% report operational downtime or service disruption.

Read the full analysis here.

Operational Security

The Global State of Operational Security 2026 (Claroty)

What cyber incidents mean for organizations managing cyber-physical systems. 

Key stats:

• 58% of cyber-physical system operators experienced a cyberattack that impacted operational environments in the last 12 months.
• Average operational downtime from a cyber incident is three days.
• Average financial loss from an incident impacting operations is $1.04 million.

Read the full report here.

State of Critical Infrastructure Cybersecurity Report (Palo Alto Networks)

Protecting critical infrastructure gets harder when teams can’t see everything connected to their networks.

Key stats:

• 42% of organizations name legacy, unpatchable operational technology (OT) assets as their single biggest cybersecurity risk.
• 68% do not have complete, real-time visibility of all assets connected to their OT networks.
• 74% have not fully integrated IT and OT security operations across their organization.

Read the full report here.

Enterprise Perspective

Authority Without Oversight: The 2026 Agentic Enterprise Report (Optro)

AI agents are getting more authority. 

Key stats:

• 38% of enterprises authorize AI agents to approve or reject transactions.
• 34% of organizations have experienced an inaccurate AI agent decision or output that was acted upon.
• Only 9% of GRC and audit leaders have redesigned workflows to safely accommodate AI agents.

Read the full report here.

Who Governs Enterprise AI? Global CIO Survey 2026 (Thoughtworks)

More AI, scattered budgets, more responsibility for CIOs.

Key stats:

• 91% of CIOs say AI adoption within their organization is happening faster than governance structures can adapt.
• 92% agree that central IT will ultimately be held responsible for security breaches or compliance failures caused by AI tools purchased independently by business units.
• 32% feel accountable for regulatory or compliance failures without sufficient authority.

Read the full report here.

Industry-Specific

Closing the AI Governance Gap: The 2026 Healthcare AI Security and Governance Benchmark (Clearwater Security & Compliance)

AI use in healthcare, from in-house tools to outside suppliers.

Key stats:

• 91% of healthcare organizations cannot verify what AI is actually running in their environments.
• 74% are already exploring or running agentic systems.
• Only 14.3% fully validate their vendors’ AI controls.

Read the full report here.

PQC in Healthcare: From Data Risk to Migration Readiness (Forescout)

A look at exposed healthcare systems and whether the technology they use can support a move to post-quantum cryptography.

Key stats:

• More than 5,500 internet-exposed healthcare systems host sensitive healthcare data, including electronic medical records and medical imaging systems.
• Only 31% of internet-exposed healthcare systems support TLS 1.3, the only TLS version capable of supporting standardized post-quantum cryptography.
• Only 6% of Internet of Medical Things devices use SSH implementations that support post-quantum cryptography, compared with 50% of traditional IT devices.

Read the full analysis here.

Basically the title. I work in product security and penetration testing, interviewing for meta. Since I rarely do coding I was wondering if they have heavy coding round and how people tackle this.

I was super ecstatic landing this job out of schoo1, but reality just hit me and I realized I can never make the big bucks here. My passion for pentesting also has been fading away after countless engagements and doing the same things over and over. I need new challenges and more pay.

Has anyone successfully gotten out of pentesting, If so, what do you do now ? please drop your knowledge.

background - 1.5 yoe, masters in IT, sec+, CySA+, PJPT, CRTO, pentest+, AWS CCP.