#Behavioral Data

[jcmarchi]

The Dual-Edged Sword of AI in Cybersecurity: Opportunities, Threats, and the Road Ahead

New Post has been published on https://thedigitalinsider.com/the-dual-edged-sword-of-ai-in-cybersecurity-opportunities-threats-and-the-road-ahead/

The Dual-Edged Sword of AI in Cybersecurity: Opportunities, Threats, and the Road Ahead

As we move into 2025, the cybersecurity landscape is entering a critical period of transformation. The advancements in artificial intelligence that have driven innovation and progress for the last several years, are now poised to become a double-edged sword. As security professionals, these tools promise new capabilities for defense and resilience. On the other hand, they are being co-opted more and more by malicious actors, leading to a rapid escalation in the sophistication and scale of cyberattacks. Combined with broader trends in accessibility, computing power, and interconnected systems, 2025 is shaping up to be a defining year.

This is not just about advancements in AI. It is about the broader shifts that are redefining the cybersecurity threat landscape. Attackers are evolving their methodologies and integrating cutting-edge technologies to try to stay ahead of traditional defenses. Advanced Persistent Threats are increasingly adopting new innovations and attempting to operate at new scales and levels of sophistication we have not seen before. With this rapidly changing landscape in focus, here are the trends and challenges I predict will shape cybersecurity in 2025.

The AI Multiplier

AI will be a central force in cybersecurity in 2025, but its role as a threat multiplier is what makes it particularly concerning. Here’s how I predict AI will impact the threat landscape:

1. Zero-Day Exploit Discovery

AI-powered code analysis tools will make it easier for attackers to uncover vulnerabilities. These tools can rapidly scan vast amounts of code for weaknesses, enabling attackers to identify and exploit zero-day vulnerabilities faster than we have seen before.

2. Automated Network Penetration

AI will streamline the process of reconnaissance and network penetration. Models trained to identify weak points in networks will allow attackers to probe systems at unprecedented scale, amplifying their ability to find vulnerabilities in the network.

3. AI-Driven Phishing Campaigns

Phishing will evolve from mass-distributed, static campaigns to highly personalized, and more difficult to detect attacks. AI models will excel at crafting messages that adapt based on responses and behavioral data. This dynamic approach combined with deepening complexity, will significantly increase the success rate of phishing attempts.

4. Ethical and Regulatory Implication

Governments and regulatory bodies will face increased pressure to define and enforce boundaries around AI use in cybersecurity for both attackers and defenders.

Why Is This Happening?

Several factors are converging to create this new reality:

1. Accessibility of Tools

Open-source AI models now provide powerful capabilities to anyone with the technical knowledge to use them. While this openness has driven incredible advancements, it also provides opportunities for bad actors. Some of these models, often referred to as “unhobbled,” lack the safety restrictions typically built into commercial AI systems.

2. Iterative Testing and The Paradox of Transparency

AI enables attackers to dynamically refine their methods, improving effectiveness with every iteration.  In addition, expanding work in the fields of “algorithmic transparency” and “mechanistic interpretability” are aiming to make AI systems functionality more understandable.  These techniques help researchers and engineers see why and how an AI makes decisions. While this transparency is invaluable for building trustworthy AI, it also could provide a roadmap for attackers.

3. Declining Cost of Computing

In 2024, the cost of computing power dropped significantly, thanks largely in part to advancements in AI infrastructure and demand for affordable platforms. This makes training and deploying AI systems more affordable and accessible than before, and for attackers, this means they can now afford to run complex simulations and train large models without the financial barriers that once limited such efforts.

What Can Companies Do About It?

This isn’t merely a technical challenge; it’s a fundamental test of adaptability and foresight. Organizations aiming to succeed in 2025 must embrace a more agile and intelligence-driven approach to cybersecurity. Here are my recommendations:

1. AI-Augmented Defense

Invest in security tools that leverage AI to match growing attacker sophistication.

Build interdisciplinary teams that combine expertise in both cybersecurity and AI.

Begin developing adaptive defense mechanisms that learn and evolve based on threat data.

2. Continuous Learning

Treat cybersecurity as a dynamic intelligence challenge rather than a static process.

Develop scenario-planning capabilities to anticipate potential attack vectors.

Foster a culture of adaptation, ensuring teams stay ahead of emerging threats.

3. Collaborative Intelligence

Break down silos within organizations to ensure information sharing across teams.

Establish cross-industry threat intelligence networks to pool resources and insights.

Collaborate on shared research and response frameworks to counteract AI-driven threats.

A renewed focus on Defense in Depth.

My Personal Warning

This isn’t about fearmongering, it’s about preparedness. The organizations that will thrive in 2025 won’t necessarily be those with the most robust detections, but those with the most adaptive intelligence. The ability to learn, evolve, and collaborate will define resilience in the face of an evolving threat landscape. My hope is that, as an industry, we rise to the occasion, embracing the tools, partnerships, and strategies needed to secure our collective future.

[raybittechnologies]

Understanding the Internet of Behavior: Transforming Technology Through Personalization

We are no longer living in a ‘hyper-connected world’ where the technology has graduated from just connecting devices to understand and anticipate our needs, desires, and even our behavior. This is called the Internet of Behavior, an emerging concept building on top of IoT but adding a powerful layer of behavioral insights. IoB seeks to interpret data about human actions and patterns to offer tailored experiences, improve business outcomes, and even enhance public welfare. But it comes with ethical issues regarding its use on questions of privacy and proper applications for personal data.

What is the Internet of Behaviour (IoB)?

Internet of Behaviour is essentially the collection of user data that can be obtained from multiple sources including connected devices, social media, purchasing patterns, as well as location tracking for the understanding and predictability of human behavior. This includes taking a step further to analyze the data and hence creating actionable insights about the people using those devices when making the focus on gathering data from multiple devices in IoT.

This enables the IoB to analyze the “what” and “why” within the actions of users, thereby helping organizations provide more personalized services or tailor their offerings to accommodate particular needs, thereby influencing future user behavior in a directed manner.

How Does IoB Work?

IoB leverages a mix of technologies, including AI, machine learning, and big data analytics, to process and interpret data collected from various sources:

1. Data Collection: It collects data from different sources, including IoT devices, social media activity, browsing history, purchase history, wearable health devices, and mobile applications. Each of them provides evidence to a person’s behaviors, preferences, and motivations in more concrete manners.

2. Data Analysis: AI algorithms analyze such data to find patterns and correlations, which may signify particular behaviors. For example, analyzing what one browses and purchases might show purchase motivations, preferred brands, and needs.

3. Behavioral Insights and Actions: Now that the data is processed, it provides companies and organizations with the ability to decide upon how they engage the individuals. Such insights can be used in tailoring product recommendations, delivering targeted advertising, or even adjusting service delivery according to what resonates best with certain segments.

4. Feedback Loops: The other essential aspect of IoB is that it provides a real-time feedback loop. And while users respond to the customized services, IoB aggregates more data about the interactions that have been made, thus refining the accuracy of future predictions and allowing the systems to “learn” the user’s preferences in a deeper pattern over time.

Real-World Applications of IoB

IoB is already transforming various sectors, bringing personalized, data-driven experiences to users. Here’s how it’s being applied in some critical areas:

1. Healthcare and Wellness IoB allows medical professionals to create highly personalized treatment plans. Wearables, like fitness monitors and smartwatches, can track activity levels, heartbeat, and even sleep patterns. They can, based on this data, provide healthcare professionals with recommendations for lifestyle adjustments, remote monitoring of health, or even the prediction of possible medical problems before they worsen.

2. Retail and E-commerce Online vendors use the Internet of Behavior to learn users’ shopping behavior and styles for a more personalized recommendation, for which, with the information of how and what users prefer or spend on with their interest in products, can effectively be used by e-commerce sites to make recommendations most aligned with the tastes of the buyer, thus increasing conversion rates and loyalty.

3. Public Safety IoB data can be employed to facilitate city authorities to increase public safety through foot traffic patterns, climatic conditions, and previous incidents for the identification of high-risk areas and times. Resource allocation and proactive safety measures through predictive ability

4. Marketing and Advertising IoB greatly benefits the marketing industry. Considering that the behavior of online subjects is now analyzed, IoB can assist marketers in recognizing what message or offer works best for which particular audience segment. Even personalized ads, email campaigns, and dynamic web content are more accurate and attractive with the insight rendered by IoB.

5. Workplace Productivity Companies have just begun to apply IoB tools to understand patterns of employee workflows, communication habits, and other performance metrics. Companies can create a more effective workplace, improve the well-being of employees, and reduce burnout by making suggestions for breaks or changes in routines based on how people work best.

Benefits of IoB

Enhanced Personalization: Hyper-personalized services and products in IoB lead to increased customer satisfaction and brand loyalty.

Improves decision-making: Companies can even make more informed decisions based on their products, services, and marketing strategies to appeal directly to their users.

Predictive Capabilities: The IoB allows companies to anticipate or know the need or behavior of a customer, thus solving problems even before they develop, or it provides pro-active support to a customer.

Ethical and Privacy Challenges

While IoB offers numerous benefits, it also raises significant ethical and privacy concerns. Here are some of the main challenges associated with the Internet of Behaviour:

1. Privacy Risks IoB necessitates collecting elaborate data that is associated with privacy risks, as the study of users’ personal and sometime sensitive information is being monitored. Organizations need to be able to ensure that organizations can comply with data protection regulations like GDPR to guarantee the right protection of user privacy.

2. Data Security IoB relies heavily on data sources that could be termed easy preys for cyberattacks. Thus, data security and therefore tightening cybersecurity measures to protect associated sensitive information at large is important.

3. Ethical Use of Data IoB has influence as well as manipulation power over behavior; therefore, companies should ensure that data collected from IoB must be used responsibly without exploiting or manipulating the consumer. Transparency is also essential about data usage, and consent must be obtained.

4. Bias in Algorithms Since IoB relies heavily on AI and machine learning, biases in the algorithms can skew results at best and may influence decisions about people. Algorithmic fairness has to be considered because IoB cannot unfairly target or exclude certain groups of users.

The Future of IoB: What Lies Ahead?

Further evolution of IoB will spread its impact towards business and society as a whole. Future developments of IoB include more regulations concerning the usage of data, better technologies for transparency and security. Added with IoB could be Augmented Reality (AR) or Virtual Reality (VR) to create some immersive, behavior-responsive experience in gaming, education, and retail.

Responsible IoB will attract enormous attention because companies balance personalized services with respect to user privacy and ethical considerations. Inasmuch as responsible data is accorded, IoB will revolutionize the way we interface with technology and the world.

Final Thoughts

Internet of Behaviour leaps forward in data-driven insight, thus meaning organizations can serve people more customised and user-centric. But with all new opportunities comes a sense of responsibility by which business will need to ensure good deal of data management through ethical and secure means. Once matured, IoB would need transparency, trust and responsible data practices to make its maximum potential fruitful for the benefit of individuals, businesses, and society as a whole.

This balance of innovation and ethical responsibility makes IoB the key player toward a digital future transforming the ways in which we interact and expect from technology.

[backwardscapcarlos]

(x)

[egophiliac]

I have never been more concerned for a JP update from your art than I am seeing a Cheka knowing the context of Leona’s dream.

My bois ok right?????? My sweet nephews ok right??????

well

uhhhh

I'm sure the real one is fine :)

[mostly-natm]

can you draw bashir?

I can. The jury is still out on if I should.

[segretecose]

"i am 15% scandinavian 18% french 3% eastern europea-" okay well i will kill 100% of you

[itellmyselfsecrets]

“There are plenty of accounts of hostility from men when women venture into supposedly gender-neutral shared exercise spaces. Like transit environments…Gyms are often a classic example of a male-biased public space masquerading as equal access.” - Caroline Criado Perez (Invisible Women: Data Bias in a World Designed for Men)

[good-beanswrites]

es should go through the blender but my finger is tired of holding down the button. so i shall pass the blender to you (with an es nui in it). do whatever you wish with them.

Oh why thank you :) I will take the blender gladly :) *Tosses some T2 angst into the blender* *adds a little bit of funky structure/style* *gives it a little pinch of headcanons* *and another pinch of random angst I got from ace attorney at 14 and never forgot* :) BBBBBBRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR

Caretaker Log J.16.7.2

Summary – The Warden’s condition continues to worsen since last entry. All decline remains self-inflicted. 

J.16.7.2-M – Sleep deprivation has resulted in mood swings and irritability. Though denied by the Warden, extreme distress, melancholy, and laughter have been noted. They lash out verbally and physically toward the prisoners (1) only to apologize at a later time. Observations (2) result in speculation that hallucinations are another symptom. 

J.16.7.2-B – The Warden's obsession with notetaking remains steady, though most pages of planning are merely rewritten versions of earlier notes. Their nightly ritual has grown more rigorous: four cups of coffee ingested in the time between dinner and the kitchen’s closing. A fifth cup is brought back to the courtroom, where the Warden will once again sleep on the ground. (Refer to J.5.5.2.B for initial detail.) 

J.16.7.2-P – Sleep deprivation and/or caffeine intake has caused shakiness and overall weakness. They show severe eyebags and have not changed into nightclothes in several days. Though they wash themself and fresh civilian clothes have been provided, they insist on returning to the uniform. Motor skills (3) and computation abilities have suffered.

J.16.7.2-S – The Warden spends their days around the prisoners, but avoids participating in all necessary conversations and activities regardless of invitation (4). They limit speech to the Caretaker only about their denied request (5), though they can be coaxed into conversation when fatigue overtakes them.

(1) After 005 offered the Warden something to help with their sleep, they threw the pills to the ground and shouldered past with force; 008 attempted to read the Warden’s notes, and they slapped her hand away.

(2) Flinched away from 003 even when standing still; shocked expression at 004's face despite nothing out of the ordinary; looked nauseous and refused to eat fresh fruit from the dining hall; interrupted a conversation with 010 to listen to silence.

(3) Handwriting has grown nearly intelligible; dropped one of their coffee cups and nearly panicked at the subsequent breakage and spill.

(4) Left the room when 002 began setting up a game; ignored 001's encouragement to join him for a meal; refused to answer personal questions from 006; snapped at 007 when trying to begin a lighthearted conversation.

(5) Request submitted on 30.8.2 for padlocks to fit supply closet and cell doors.

Appendix. Subjective caretaker commentary – Poor kid. I’m glad it’ll all be over soon. 

[bananonbinary]

god i miss when the internet wasn't garbage. you can't google anything these days without whatever answer you're looking for getting lost under a deluge of seo ai bullshit. cannot wait until the bubble pops and we might get useable search engines again.

[jcmarchi]

Anthony Tobelaim, Co-founder & CPO at Siit – Interview Series

New Post has been published on https://thedigitalinsider.com/anthony-tobelaim-co-founder-cpo-at-siit-interview-series/

Anthony Tobelaim, Co-founder & CPO at Siit – Interview Series

Anthony Tobelaim is the Co-founder & CPO of Siit. He previously worked at Aircall as a Senior Director of Partnership EMEA & APAC.

Siit empowers IT and internal operations teams with a modern platform designed to simplify and streamline service management processes from start to finish. Unlike traditional systems that begin with forms or apps, Siit focuses on what matters most: requests. By leveraging AI, the platform offers a conversational, integrated, and automated approach to internal service management, providing advanced tools to enhance employee experiences while reducing administrative burdens. This innovative approach modernizes a traditionally outdated industry, enabling organizations to gain actionable insights into employee behavior, improve service delivery, and drive operational growth.

What inspired you to co-found Siit, and how did your previous experience at Aircall shape your approach to building this AI-powered service desk platform?

Our time at Aircall provided valuable insights into the dynamic needs of today’s businesses. As a team—Chalom, Dimitri, and I— consistently encountered the same challenges with traditional IT service desks: they are often inflexible, overly complex, and misaligned with the workflows of modern teams. Experiencing these pain points firsthand, we saw an opportunity to reimagine the status quo. That’s how Siit was born. We set out to build a platform designed to be as agile and forward-thinking as the teams it empowers, breaking free from outdated models to deliver a solution that is truly innovative and impactful.

What specific gaps in the IT Service Management (ITSM) industry did you identify that Siit aims to address?

Traditional service desks often fall short, burdened by disjointed tools and overly complicated processes. The familiar question, “Did you create a ticket?” epitomizes the frustration many face. At Siit, we set out to change that. Our platform delivers a streamlined, conversational experience that integrates effortlessly with tools like Slack and Microsoft Teams, meeting users where they already work. Our mission is simple: to make internal operations effortless for everyone—from IT teams to end-users—eliminating friction and bringing efficiency to the forefront.

How does Siit’s conversational and AI-driven approach redefine the traditional service desk experience for employees and support teams?

At Siit, we’re combining AI with the communication tools internal teams already rely on, like Slack and Microsoft Teams, to create a seamless, efficient experience. Our AI transforms fragmented requests into clear, actionable workflows, eliminating the need to chase status updates or juggle multiple systems. By automating routine tasks and providing actionable insights for continuous improvement, we ensure smoother operations and happier employees who feel supported every step of the way.

Can you explain the role of the multi-agent AI system in Siit and how it improves efficiency and accuracy in resolving employee requests?

At the core of Siit is our multi-agent AI system—your on-demand specialist for smarter support. Unlike traditional systems that require manual input for every ticket, our AI processes requests intelligently, learning from past interactions to deliver personalized, accurate responses. This ensures employees get the help they need quickly, while human agent resources are freed up to focus on more complex challenges. It’s about building a service desk that’s not only efficient but continuously learns and adapts to better serve your team.

How does Siit’s AI use employee behavioral data and company systems to provide tailored solutions?

Siit’s AI is more than just an assistant—it’s a true collaborator. By pulling data from multiple sources, it builds a complete picture of each request. Seamless integration with key systems like HR platforms, device management, identity access management, and your knowledge base gives our AI the context it needs to deliver precise insights. This interconnected approach enables a service desk with a holistic view, accelerating resolution times and lightening the workload for human agents. The result? Faster, more efficient service management that keeps your team moving forward.

What mechanisms are in place to ensure Siit’s AI continuously learns and adapts to organizational needs?

Siit’s AI is built to continually learn and adjust to meet your organization’s needs. The platform has built-in analytics that track how well the service desk is performing and how employees are interacting with it. These analytics provide real-time insights that help the AI recognize patterns and identify areas for improvement. This setup ensures that Siit’s AI evolves alongside your business, making processes more efficient and keeping employees satisfied with faster, more accurate support.

What are the key features that make Siit particularly appealing to IT administrators and internal operations teams?

Siit was designed to tackle the unique challenges of IT teams but quickly evolved to support departments across the organization. Built to empower internal operations teams, it delivers the specialized tools they need for seamless collaboration and a tailored, user-friendly service desk experience. Beyond IT, Siit has been rapidly embraced by HR, Finance, Legal, and other departments, drawn to its powerful AI, seamless integrations, and advanced role management capabilities. It’s a platform that adapts to the needs of operations teams, driving efficiency and alignment across the board.

What sets Siit apart from traditional ITSM solutions like Jira or Zendesk, particularly in addressing the disconnect between service desks and employee needs?

Siit is purpose-built to offer a seamless, future-ready solution, in contrast to legacy providers that depend on expensive add-ons to stay relevant. Competing head-to-head with industry leaders like Jira Service Management and Zendesk, Siit enables organizations to simplify operations without the complexity or hidden expenses, while offering powerful capabilities at a fraction of the cost.

How does the recent $5M seed round impact your plans for Siit’s go-to-market strategy and future development?

This recent funding is a key milestone in our growth journey. It allows us to enhance Siit’s AI capabilities and expand our footprint in the ITSM space. With this investment, Siit is well-positioned to accelerate growth and deliver even more value to our customers.

What are the next major milestones for Siit, and how do you plan to achieve them?

We’re excited about what’s ahead. A key focus for us now is scaling our technology and expanding our customer base globally. Our top priority is investing in exceptional talent, ensuring we continue to innovate and meet the ever-evolving needs of our customers.

Thank you for the great interview, readers who wish to learn more should visit Siit. 

[enterprise-bee]

constant war in my brain while watching TNG that goes like this:

one the one hand. fandoms having adult characters be “adopted” by other adult characters as a parent and child is a pet peeve of mine for how it forces those characters into roles that do not fit them and is frequently infantilizing. it doesn’t help that this is frequently done with characters that are neurodivergent coded in some way, stripping away their agency and competency in the name of a nuclear family archetype.

on the other hand. picard and crusher attending data’s first string quartet performance to support his interests and cheer him on… picard’s upset he got called away for the episode’s plot and couldn’t continue to support him… dad behavior.

[vampirecatprince]

I know I'm on my Sonic AU bullshit, but I'm also really sitting down and thinking about the moral implications of what's going on with AIVOs here...

An sentient AI copy of a proud, stubborn, incredibly intelligent man forced through it's own programming to be more submissive and subservient because it's "only a virtual assistant" is kinda... Fucked up? And I wanna play in with the implications of that ngl, especially given Stone's probably extremely loose sense of personal boundaries after spending the last 7 or so years of his life with Robotnik.

[mantisgodiveblog]

Against all odds, we have survived. We're taking a university course now, because the government will pay us for it and we do need the money, but it has unfortunately been eroding at our sanity somewhat, and we are learning nothing that we don't already know. We are, however, getting money.

We have somewhat of a backlog on Discord at the moment, as it doesn't have a daily upload limit and also it's easier to stick things on while we are being told things that we already know by people who are phrasing in in ways we find significantly misleading or incorrect (note: we don't use apps for things the vast majority of the time and if we access Tumblr via browser it immediately fucks up our formatting on PC, which can last several months). We will, hopefully, be posting these soon, but all is dependant on if we can actually scare up the time between courses to conglomerate that and fix any formatting errors in thoughts and such.

If that will happen any time soon... good question! Every time that our work practicum teacher opens her mouth, we take points of physical damage, and we don't think she understands the fact that getting back after we walk to a place also involves walking. We've had a lot going on for a while now and very little of it has been good. We're on new meds, and if the gods prove merciful, we won't have to tolerate this particular clown show past March. If there is no mercy to be found, however, we might have to keep doing this until June, in which case you can probably expect the quality of this to take a sharp downturn as the short time we have already spent in this program is already having immediate and catastrophic effects on our mental health.

We do not recommend going to university in any circumstances, but we are unfortunately aware that it may be necessary to get such things as a fancy piece of paper saying you are employable. Additionally, we would tell you to calibrate your expectations for anyone with a degree lower, but apparently what we consider the basic level of knowledge you should know before saying anything on any topic is everyone else's "bachelor degree and a bit", so our estimations on what people think is a high degree of knowledge to have are probably also off.

Any donations go to the Fund To Compensate Us For Having To Correct A Teacher Multiple Times In A Lecture And Then Looking Up Her Sources Later And Discovering They Are Blatant Misinformation. We are very tired. Please do research on things before talking about them. Thank you.

[goldkirk]

I opened Pinterest for the first time in months.

That made me realize a lot about how bad I was actually doing and how much of a Waffle House Index use of Pinterest is for adult me, apparently.

I hadn’t realized it had grown that foundational to me in a healthy-brain-exercise-and-hobby-joy way. Nice to know moving forward! It’s another sign I can keep track of and use to spot correlation/indicator patterns earlier my behavior.

I love this kind of thing, it makes me so excited!