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AI data security: 8 essential steps for CISOs in the age of generative AI – CyberTalk

EXECUTIVE SUMMARY:
Artificial intelligence and large language models are transforming how organizations operate. They’re also generating vast quantities of data – including synthetic text, code, conversational data and even multi-media content. This introduces increased potential for organizations to encounter hacking, data breaches and data theft.
This article outlines eight essential steps that cyber security stakeholders can take to strengthen AI data security in an age where AI usage is rapidly accelerating and the societal consensus on AI regulation remains elusive.
AI data security: 8 essential steps
1. Risk assessment. The foundation of any effective security strategy is, of course, a thorough risk assessment. CISOs should conduct a comprehensive evaluation of their organization’s AI systems, identifying potential vulnerabilities, threats, and their potential impact.
This assessment should encompass the entire AI lifecycle, from data acquisition and model development to deployment and monitoring. By understanding the specific risks associated with AI initiatives, cyber security teams can prioritize and implement targeted security and mitigation strategies.
2. Robust governance framework. Effective AI data security requires a strong governance structure. CISOs need to develop a comprehensive framework that outlines data ownership, access controls, usage policies, and retention guidelines. This framework should align with relevant regulations, while incorporating principles of data minimization and privacy-by-design. Clear governance not only minimizes the risk of data breaches, but also ensures compliance with legal and ethical codes.
3. Secure development and deployment practices. As AI systems and security features are developed, cyber security teams need to ensure secure coding practices, vulnerability testing and threat modeling (where possible). In addition, security controls need to be put in-place, as to protect AI models and infrastructure from unauthorized access or data loss. Prioritizing cyber security from the outset will enable organizations to reduce the probability that vulnerabilities will be introduced into production systems.
4. Protect training data. Cyber security professionals need to implement stringent security measures to protect the integrity and confidentiality of training data. This includes data anonymization, encryption and access controls, regular integrity checks to detect unauthorized modifications, and monitoring of data for adversarial inputs.
5. Enhanced network security. AI systems often require significant computational resources across distributed environments. CISOs must ensure that the network infrastructure supporting AI operations is highly secure. Key measures include implementing network segmentation to isolate AI systems, utilizing next-generation firewalls and intrusion detection/prevention systems, and ensuring regular patching and updates of all systems in the AI infrastructure.
6. Advanced authentication and access controls. Given the sensitive nature of AI systems and data, robust authentication and access control mechanisms are essential. Cyber security teams should implement multi-factor authentication, role-based access controls, just-in-time provisioning for sensitive AI operations, and privileged access management for AI administrators and developers. These measures help ensure that only authorized personnel can access AI systems and data, reducing the risk of insider threats and unauthorized data exposure.
7. AI-specific incident response and recovery plans. While prevention is crucial, organizations must also prepare for potential AI-related security incidents. Cyber security professionals should develop and regularly test incident response and recovery plans tailored to AI systems. These plans should address forensic analysis of compromised AI models or data, communication protocols for stakeholders and regulatory bodies, and business continuity measures for AI-dependent operations.
8. Continuous monitoring and adaptation. AI data security is an ongoing commitment that requires constant vigilance. Implementing robust monitoring systems and processes is essential to ensure the continued security and integrity of AI operations. This includes real-time monitoring of AI system behavior and performance, anomaly detection to identify potential security threats or breaches, continuous evaluation of AI model performance and potential drift, and monitoring of emerging threats in the AI landscape.
Further thoughts
As AI and large language models continue to advance, the security challenges they present will only grow more complex. The journey towards effective AI data security requires a holistic approach that encompasses technology, processes, and people. Stay ahead of the curve by implementing the aforementioned means of ensuring robust AI data security.
Prepare for what’s next with the power of artificial intelligence and machine learning. Get detailed information about Check Point Infinity here.
Get more CyberTalk insights about AI here. Lastly, to receive cyber security thought leadership articles, groundbreaking research and emerging threat analyses each week, subscribe to the CyberTalk.org newsletter.
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A Deep Dive Into BioWare’s Companion Design Philosophy In Dragon Age: The Veilguard
During my visit to BioWare in its Edmonton, Canada, office earlier this year for the current Game Informer cover story on Dragon Age: The Veilguard, I heard a sentiment repeated throughout the day from the game’s leads: in past Dragon Age games, BioWare stumbled onto great companions, but with Veilguard, it’s the first game where the studio feels it purposefully and intentionally created great companions. As such, those companions are key to everything happening in Veilguard.
With such a significant emphasis on these characters, I spoke to some of the game’s leads to learn precisely about BioWare’s philosophy on companions in Veilguard.
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“No, that is the case,” BioWare general manager Gary McKay tells me when I ask if he agrees with the stumbled-onto-greatness sentiment. “I would first start with Dragon Age – each installment in this franchise has been different, so we didn’t set out to make a game that was a sequel or the same game as before. We really wanted to do something different and we did push the envelope in a couple of areas, companions being one of them. Once we got knee deep into it, we really realized we had something special with these companions, again, around the motivations, the story arc, and it really started to become the centerpiece for this game.”
The Philosophy Behind Dragon Age: The Veilguard’s Companions

Game director Corinne Busche agrees, adding that Veilguard’s companions are “the most fully realized complex companions we’ve ever crafted.” She also believes they’re the Dragon Age series’ best. “They’re complicated, they have complicated problems, and that’s what’s interesting,” she continues. “As much as I adore the companions and the journeys I’ve been on with them in past Dragon Age titles – previously, it feels like companions are going on an adventure with me, the main character, whether it’s the Hero of Ferelden or Hawke, you name it. But in [Veilguard], in many ways, the companions are so fleshed out that it feels as though I’m going on a journey with them. I’m exploring how they think and feel; I’m helping them through their problems. We’re working through their unique character arcs. They feel like my dear friends, and I absolutely adore them.”
Busche says these companions participate in the game’s darker and more optimistic parts. “We’ve really moved into a place where you can have the highest of highs, and it can be colorful, it can be optimistic, but also, you can have the lowest of lows where it gets gritty, it gets painful, it gets quite dark. But throughout it all, there is a sense of optimism. And it creates this delightful throughline throughout the game.”
When I ask creative director John Epler about BioWare’s philosophy behind Veilguard’s companions, he reveals a phrase the studio uses: Dragon Age is about characters, not causes.
“What that means for us is […] let’s take the Grey Wardens, for example – the Grey Wardens are an interesting faction but by themselves, they don’t tell a story, but there are characters within that faction that do,” he tells me. “And the same thing with other characters in the story. They represent these factions, they show the face of the other parts of Thedas and of the storytelling we really want to do, which, again, shows Thedas as this large, diverse living world that has things going on when you’re not there.”

Epler says one of BioWare’s principles when creating Veilguard was that the world exists even when you – Rook – are not around. There are things, ancient conflicts, grudges, and more, that happen even when Rook isn’t participating in them, he says.
“You kind of come in ‘in media res’ in some of these, so that’s where we wanted to go with the companions,” he says. “They have stories of their own. Where can Rook come into these stories, and what interesting ways can those stories develop not just based on themselves but also based on Rook’s presence within them?”
Dragon Age series art director Matt Rhodes adds that companions are the load-bearing pillars for everything in Veilguard, so “when you’re designing them, it’s not just designing a character; they’re the face for their faction, the face for, in [some cases like Bellara Lutara], an entire area of the world.” From his aesthetic-forward part of developing companions in Veilguard as the game’s art director, he tells me Veilguard’s characters are (hopefully) going to give cosplayers a challenge.
“The previous art director had the mindset we should make things easier for [cosplayers], which I think is a misunderstanding of cosplayers,” Rhodes says. “We’ve seen the kind of challenges they’re willing to take on, and so we’ve gone for, in some cases, a level of complexity and detail that I hope a lot of them are excited to rise to the challenge for.”
A Quick Detour: Neve Gallus

Companions, In And Out Of Combat

Rook’s companions in Veilguard have roles both in and out of combat, but since I only saw a few hours of this game (which is sure to be multiple dozens of hours long), I wanted to ask Busche about these roles and how they play out. Here’s what I learned:
In Combat
Bushce: “So companions as realized characters, we have to take that premise when we talk about how they show up in combat. These are their own people. They have their own behaviors; they have their own autonomy on the battlefield; they’ll pick their own targets. As their plots progress, they’ll learn how to use their abilities more competently, and it really feels like you’re fighting alongside these realized characters in battle. So I love that, I love the believability of it. It feels like we’re all in it together.
“But then when it comes time for the strategy, and the progression I might add, that’s where a sense of teamwork comes into play as the leader of this party as Rook. When I open the ability wheel, I almost feel like we’re huddling up. We’re coming up with a game plan together. I see all the abilities that Harding has, and I see all that Bellara is capable of, and sometimes I’m using vulnerabilities synergistically. Maybe I’m slowing time with Bellara so that I can unleash devastating attacks with Harding, knocking down the enemy, and then me as Rook, rushing in and capitalizing on this setup they’ve created for me. It is a game about creating this organic sense of teamwork.
“Now, there are more explicit synergies as well. We very much have intentional combos where your companions can play off each other, you can queue up abilities between them, and each of those abilities will go off and have their effect. But it results in this massive detonation where you get enhanced effects, debuff the entire battlefield, all because of planning and teamwork. What makes it really cool is you can introduce Rook into that equation as well. One of my favorite things to do is upgrade some of Harding’s abilities so she will automatically use some of these abilities that normally I’d have to instruct her to do. And she’ll actually set my character up to execute that combo that, again, has that detonation effect.”
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Outside Combat
Busche: “It’s one of my favorite topics. I talked about the idea that these are fully realized characters, that they’re very authentic and relatable. So outside of combat, what that means is they’re going to have their own concerns, fears, distractions, and indeed, even their own sanctuaries, their own personal spaces. In our base of operations this time, our player hub, the Lighthouse, each of the companions has their own room. And what I love about it is it becomes a reflection of who they are. The more time you spend with them, as the game develops as you work through their arc, their room and their personalities will evolve and flourish and become more complete as they trust you more and you understand them better.
“What’s interesting, you mentioned romance, the companions also develop romantically and I’m not just talking about with the main character Rook; I’m talking about each other. There are moments in the game where two of our companions fell in love with each other and I had to make some pretty challenging choices as it related to the quest we’re on. And it broke my heart, it absolutely did [Editor’s Note: I get the sense Busche is talking about a specific playthrough of Veilguard here – not a definitive sequence of events for every playthrough].
“So I would say, as you’re adventuring with them, as you’re returning to the Lighthouse and getting to know them – all these decisions and conversations and things you learn about them – it endears them to you in a way that I honestly haven’t experienced before. And sometimes that fills me with joy and sometimes it breaks my heart.”
For more about the game, including exclusive details, interviews, video features, and more, click the Dragon Age: The Veilguard hub button below.
The Fight to Own Your Creative Content – Speckyboy
As a platform, the web caters to creators. It’s a place to publish and share whatever we want. We’ve used it to fuel the rise of everything from blogs to influencer videos.
The results are impressive. Think of all the careers kickstarted by online publishing. I am living proof. Writing and web design have provided me with income and a platform. I’m forever grateful.
However, the rules of content ownership seem to be changing before our eyes. And it’s not the familiar trope of a spammer copying your text and images.
These days, large companies are trying to stake a claim. Social media has been doing this for years. And now artificial intelligence (AI) is putting the practice into overdrive.
Not everyone wants to own our content outright. Various platforms are looking to profit from what we create, though. Let’s take a look at what’s happening and what it means.
A Misunderstanding That Made Creators Think
Imagine a tool that helps you create compelling content. It then takes your content and profits from it. A recent change to Adobe’s Terms of Use seemed like it might do just that.
Users were up in arms regarding the revised language in the agreement:
“4.2 Licenses to Your Content. Solely for the purposes of operating or improving the Services and Software, you grant us a non-exclusive, worldwide, royalty-free sublicensable, license, to use, reproduce, publicly display, distribute, modify, create derivative works based on, publicly perform, and translate the Content. For example, we may sublicense our right to the Content to our service providers or to other users to allow the Services and Software to operate as intended, such as enabling you to share photos with others. Separately, section 4.6 (Feedback) below covers any Feedback that you provide to us.”
I’m no lawyer or legal expert. But it sounds like the company is permitting itself to use your content. Theoretically, Adobe could use content created in Photoshop to feed its AI model.
Adobe has since clarified that this is not the case. The changes relate to allowing their cloud-based AI tools to modify your content – at your request. Furthermore, the language is there to facilitate the sharing of files via Adobe apps.
Perhaps it was all an honest misunderstanding. But can you blame anyone for being suspicious of the change?
Content Isn’t Just for User Consumption
The relentless pace of AI is making some people uncomfortable. Tools are scraping our websites to feed their models. Opting out isn’t straightforward.
It’s also different from social media. The workaround there has been to create content on a platform you control (a website) and promote that content on social media. We’re merely funneling traffic from a proprietary platform—not allowing it to own our creations.
AI has changed the game. The platforms are meeting us where we are. They’re indexing what we’ve published to improve their product.
All of this happens in the background. It may not be a big deal to some. If you can’t see it happening, what’s the harm?
We may not immediately see the effects. But the long-term ramifications could be significant.
What happens when a company chooses AI instead of a copywriter? Or let ChatGPT generate all of its custom code? Or replace a graphic artist with a text-to-image tool?
These things are already happening. Maybe they haven’t impacted you just yet. But pessimists will see this as feeding the machine that will take your place.
Rethinking the Role of Apps in Content Creation
I can’t say that I ever considered the role apps play in what I create. For example, I’ve used Photoshop since the 1990s. It was a great tool that helped me accomplish my goals. It still is.
The misunderstanding surrounding its Terms of Use has me wondering. How far will an app go to serve us and itself?
It’s no longer paranoia to think a software company would use our content for profit. And governing bodies can’t act swiftly enough to stop it. It’s the wild west out there. Companies will experiment and go as far as they can.
So, perhaps it’s no longer about using the most powerful tool for the job. Now, it’s about using tools that respect users.
App developers should be clear about their intentions. And, if they are feeding content to AI models, they should allow users to opt out. The process for doing so should be simple.
There’s a market for apps with a privacy-first focus. We see this with web browsers like Firefox and DuckDuckGo. That’s a roadmap for creative apps and publishing platforms to follow.
The New Reality of Content Creation
There’s always been some risk when publishing online. Anyone could copy your work and call it their own. Or they could redistribute your work in an unapproved manner. It’s frustrating, for sure. But we’ve learned to live with it.
These days, the concern is how and where we create. Do we own our content – or are we expected to share ownership? What rights do we have? What does all of the legalese in the Terms of Service mean?
The answers may deter some of us from publishing. That’s a shame because the internet is the perfect medium for sharing ideas.
In reality, we should think twice before using a tool or platform. As creators, we need to know what we’re getting into.
The situation also underscores the importance of free, open-source software (FOSS). Platforms like WordPress ensure content ownership and portability. Integration with AI is optional – even if blocking content scrapers isn’t automatic.
The bottom line is to do your homework. Find tools that respect your privacy and rights to ownership, and avoid the ones that go too far.
We can’t control everything in this industry, but we can make informed choices. For now, it’s our best option.
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