Security Boulevard

Is your vulnerability management game on point? If it’s not, you’re handing attackers an open invitation. And if you believe that merely using a vulnerability scanner qualifies as effective management,...

The post What is Vulnerability Management? Compliance, Challenges, & Solutions appeared first on Strobes Security.

The post What is Vulnerability Management? Compliance, Challenges, & Solutions appeared first on Security Boulevard.

Chinese researchers used a D-Wave quantum computer to crack a 22-bit encryption key, which can be used as a cautionary tale for what may lie ahead with future quantum systems but doesn't threaten the classical encryption being widely used today.

The post Chinese Research Using Quantum System to Crack Encryption a ‘Cautionary Tale’ appeared first on Security Boulevard.

Despite 80% of IT leaders expressing confidence that their organization won’t fall for phishing attacks, nearly two-thirds admitted they’ve clicked on phishing links themselves. This overconfidence is coupled with concerning behaviors, as 36% of IT leaders have disabled security measures on their systems, undermining organizational defenses. These were among the chief results of an Arctic..

The post Phishing Attacks Snare Security, IT Leaders appeared first on Security Boulevard.

Tax farming is the practice of licensing tax collection to private contractors. Used heavily in ancient Rome, it’s largely fallen out of practice because of the obvious conflict of interest between the state and the contractor. Because tax farmers are primarily interested in short-term revenue, they have no problem abusing taxpayers and making things worse for them in the long term. Today, the U.S. Securities and Exchange Commission (SEC) is engaged in a modern-day version of tax farming. And the potential for abuse will grow when the farmers start using artificial intelligence...

The post AI and the SEC Whistleblower Program appeared first on Security Boulevard.

Far too often, we hear about schools facing cybersecurity crises because of a simple human error like sharing sensitive student information in an email, like Social Security numbers, outside the district’s cloud environment. K-12 IT directors are then left scrambling to contain the damage, realizing that a data loss prevention strategy could have prevented the ...

The post K-12 Google & Microsoft 365 Data Loss Prevention using Cloud Monitor by ManagedMethods appeared first on ManagedMethods Cybersecurity, Safety & Compliance for K-12.

The post K-12 Google & Microsoft 365 Data Loss Prevention using Cloud Monitor by ManagedMethods appeared first on Security Boulevard.

Discover why Escape is a better DAST solution for API testing.

The post Escape vs Qualys appeared first on Security Boulevard.

The dynamic world of Kubernetes and cloud security is constantly evolving. As we explore this complicated ecosystem, it’s

The post Policy as code in Kubernetes: security with seccomp and network policies appeared first on ARMO.

The post Policy as code in Kubernetes: security with seccomp and network policies appeared first on Security Boulevard.

via Friend of the Blog Trey Blalock From VerficationLabs.com

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The post BSides Exeter – Ross Bevington’s Turning The Tables: Using Cyber Deception To Hunt Phishers At Scale appeared first on Security Boulevard.

Over the past 6 months I have been researching ransomware, and not even from the technical angle (which would very tempting and no doubt, enlightening in it’s own right), but from a strategic perspective. This approach resonated with many, and I was invited to after speak with the International Conference on Emerging Trends in Information […]

The post Ransomware Rising – Understanding, Preventing and Surviving Cyber Extortion appeared first on Security Boulevard.

Authors/Presenters:Ruihan Li, Fangdan Ye, Yifei Yuan, Ruizhen Yang, Bingchuan Tian, Tianchen Guo, Hao Wu, Xiaobo Zhu, Zhongyu Guan, Qing Ma, Xianlong Zeng, Chenren Xu, Dennis Cai. Ennan Zhai

Our sincere thanks to USENIX, and the Presenters & Authors for publishing their superb 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) content, placing the organizations enduring commitment to Open Access front and center. Originating from the conference’s events situated at the Hyatt Regency Santa Clara; and via the organizations YouTube channel.

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The post USENIX NSDI ’24 – Reasoning About Network Traffic Load Property at Production Scale appeared first on Security Boulevard.

Authors/Presenters:Aleise McGowan, Tennisha Martin

Our sincere appreciation to DEF CON, and the Presenters/Authors for publishing their timely []DEF CON 32]2 erudite content. Originating from the conference’s events located at the Las Vegas Convention Center; and via the organizations YouTube channel.

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The post DEF CON 32 – AppSec Considerations From The Casino Industry appeared first on Security Boulevard.

Authors/Presenters:Zhaoyu Gao, Anubhavnidhi Abhashkumar, Zhen Sun, Weirong Jiang, Yi Wang

Our sincere thanks to USENIX, and the Presenters & Authors for publishing their superb 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) content, placing the organizations enduring commitment to Open Access front and center. Originating from the conference’s events situated at the Hyatt Regency Santa Clara; and via the organizations YouTube channel.

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The post USENIX NSDI ’24 – Crescent: Emulating Heterogeneous Production Network at Scale appeared first on Security Boulevard.

Authors/Presenters:Nils Blach, Maciej Besta, Daniele De Sensi, Jens Domke, Hussein Harake, Shigang Li, Patrick Iff, Marek Konieczny, Kartik Lakhotia, Ales Kubicek, Marcel Ferrari, Fabrizio Petrini, Torsten Hoefler

Our sincere thanks to USENIX, and the Presenters & Authors for publishing their superb 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) content, placing the organizations enduring commitment to Open Access front and center. Originating from the conference’s events situated at the Hyatt Regency Santa Clara; and via the organizations YouTube channel.

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The post USENIX NSDI ’24 – A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network appeared first on Security Boulevard.

If you’re a firm that works with foreign governments, in addition to certifications like ISO 27001 that you will generally need to achieve, you will also have to have processes in place for handling foreign government information or FGI. It’s not enough that your internal network is classified and access controlled; you need specific handling […]

The post Managing Foreign Government Information (FGI) on a Network appeared first on Security Boulevard.

Pentesting authentication is a critical step of any gray-box pentest. Here we review steps of how a pentest should assess these controls.

The post Pentesting Authentication appeared first on Virtue Security.

The post Pentesting Authentication appeared first on Security Boulevard.

Many organizations are looking for trusted advisors, and this applies to our beloved domain of cyber/information security. If you look at LinkedIn, many consultants present themselves as trusted advisors to CISOs or their teams.

Untrusted Advisor by Dall-E via Copilot

This perhaps implies that nobody wants to hire an untrusted advisor. But if you think about it, modern LLM-powered chatbots and other GenAI applications are essentially untrusted advisors (RAG and fine-tuning notwithstanding).

Let’s think about the use cases where using an untrusted security advisor is quite effective and the risks are minimized.

To start, naturally intelligent humans remind us that any output of an LLM-powered application needs to be reviewed by a human with domain knowledge. While this advice has been spouted many times — with good reasons — unfortunately there are signs of people not paying attention. Here I will try to identify patterns and anti-patterns and some dependencies for success with untrusted advisors, in security and SOC specifically.

First, tasks involving ideation, creating ideas and refining them are very much a fit to the pattern. One of the inspirations for this blog was my eternal favorite read from years ago about LLMs “ChatGPT as muse, not oracle”. If you need a TLDR, you will see that an untrusted cybersecurity advisor can be used for the majority of muse use cases (give me ideas and inspiration! test my ideas!) and only for a limited number of oracle use cases (give me precise answers! tell me what to do!).

So let’s create new ideas. How would you approach securing something? What are some ideas for doing architecture in cases of X and Y constraints? What are some ideas for implementing controls given the infrastructure constraints? What are some of the ways to detect Z? All of these produce useful ideas that can be turned by experts into something great. Ultimately, they shorten time to value and they also create value.

A slightly more interesting use case is the Devil’s Advocate use case (this has been suggested by Gemini Brainstormer Gem during my ideation of this very post!). This implies testing ideas that humans come up with to identify limitations, problems, contradictions or other cases where these things may matter. I plan to do X with Y and this affects security, is this a good idea? What security will actually be reduced if I implement this new control? In what way is this new technology actually even more risky?

Making “what if” scenarios is another good one. After all, if the scenarios are incorrect, ill-fitting or risky, a human expert can reject them. No harm done! And if they’re useful, we again see shorter time to value (epic example of tabletops via GenAI)

Now think about all the testing use cases. Given the controls we have, how would you test X? This makes me think that perhaps GenAI will end up being more useful for the red team (or: red side of the purple team). The risks are low and the value is there.

Report drafting and data story-telling. By automating elements of data-centric story telling, GenAI can produce readable reports, freeing humans for more fun tasks. Furthermore, GenAI excels at identifying patterns. This enables the creation of compelling narratives that effectively communicate insights and risks. And, back to the untrusted advisor: it’s still essential to remember that experts should always review GenAI-generated content for accuracy and relevance (thanks for the reminder, Gemini!)

Summary — The Good:

• Ideation and Brainstorming: LLMs excel at generating ideas for security architectures, controls, and approaches. They can help overcome mental blocks and accelerate the brainstorming process.
• Devil’s Advocate: LLMs can challenge existing ideas, identify weaknesses, and highlight potential risks. This helps refine strategies and improve overall security posture.
• “What-if” Scenarios: LLMs can create various scenarios to test the effectiveness of security controls and identify vulnerabilities.
• Security Testing: LLMs can be valuable tools for testing, proposing simulated attacks and identifying weaknesses in defenses.
• Report drafting: LLMs can help you write reports that make sense and flow well.

On the other hand, let’s talk about the anti-patterns. It goes without saying that if it leads to deployment of controls, automated reconfiguration of things, or remediation that is not reviewed by a human expert, that’s a “hard no”.

Admittedly, any task that require sharing detailed knowledge of my environment is also on that “hard no” list (some bots leak, and leak a lot). I just don’t trust the untrusted advisor with my sensitive data. I also assume that some results will be inaccurate, but only a human domain expert will recognize when this is the case…

Summary — The Bad:

• Direct Control: Allowing LLMs to directly deploy controls, reconfigure systems, or automate remediation without human review is a major risk.
• Access to Sensitive Information: Avoid sharing detailed knowledge of your environment with an untrusted LLM (which is another way of saying “an LLM”).

Bridging the Trust Gap

The key to safely using LLM-powered “untrusted security advisor” for more use cases is to maintain a clear separation between their (untrusted) outputs and your (trusted) critical systems.

Forrester via Allie Mellen webinar https://www.forrester.com/technology/generative_ai_security_tools_webinar/

A human domain expert should always review and validate LLM-generated suggestions before implementation. This choice is obvious, but it is also a choice that promises to be unpopular with some environments. What are the alternatives, if any?

Alternatives and Considerations

While relying on non-expert human review or smaller, grounded LLMs might seem appealing, they ultimately don’t solve the trust issue. Clueless human review does not fix AI mistakes. Another AI may fix AI mistakes, or it may not…

Perhaps a promising approach involves using a series of progressively smaller and more grounded LLMs to filter and refine the initial untrusted output. Who knows … we live in fun times!

Agent-style valuation is another route (if an LLM wrote remediation code, I can run it in a test or simulated environment, and then decide what to do with it, perhaps automatically prompting the LLM to refine it until it works well).

But still: will you automatically act on it? No! So think real hard about the trust boundary between your “untrusted security advisor” and your environment! Perhaps we will eventually invent a semantic firewall for it?

Conclusion

LLMs can be powerful tools for security teams, but they must be used responsibly given lack of trust. By focusing on appropriate use cases and maintaining human oversight, organizations can leverage the benefits of LLMs while mitigating the risks.

Specifically, LLMs can be valuable “untrusted advisors” for cybersecurity, but only when used responsibly. Ideation, testing, and red teaming are excellent applications. However, direct control, access to sensitive data, and unsupervised deployment are off-limits. Human expertise remains essential for validating LLM outputs and ensuring safe integration with critical systems.

• LLMs can be valuable “untrusted advisors” for ideation and testing in cybersecurity.
• Human experts should always review and validate LLM output before implementation.
• LLMs should not (yet?) be used for tasks requiring high trust or detailed environmental knowledge.
• Striking the right balance between human expertise and AI assistance is crucial.

Thanks Gemini, Editor Gem, Brainstormer Gem and NotebookLM! :-)

Related:

• 3 promising AI use cases for cybersecurity
• Our Security of AI Papers and Blogs Explained
• How Generative AI Can Transform Security Tools: Innovations Ahead (Forrester webinar by an illustrious Allie Mellen)

Get an Untrusted Security Advisor! Have Fun, Reduce Fail! was originally published in Anton on Security on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Chris Clements, VP of Solutions Architecture Because of the frequency of phishing attacks landing in user mailboxes and the severity of the consequences of a user falling for a lure, any improvement at all can make the difference between an organization suffering a breach.  Detrimental Best Practices One of my biggest pet peeves is compulsory […]

The post Is End-User Cybersecurity Training Useless? Spoiler Alert: It’s Not! appeared first on CISO Global.

The post Is End-User Cybersecurity Training Useless? Spoiler Alert: It’s Not! appeared first on Security Boulevard.

Authors/Presenters:Rathin Singha, Rajdeep Mondal, Ryan Beckett, Siva Kesava Reddy Kakarla, Todd Millstein, George Varghese

Our sincere thanks to USENIX, and the Presenters & Authors for publishing their superb 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) content, placing the organizations enduring commitment to Open Access front and center. Originating from the conference’s events situated at the Hyatt Regency Santa Clara; and via the organizations YouTube channel.

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The post USENIX NSDI ’24 – MESSI: Behavioral Testing of BGP Implementations appeared first on Security Boulevard.

And the Ethical Dilemma of Using AI to Create Fake Online Personalities In recent years, advancements in artificial intelligence (AI) have given rise to powerful tools like StyleGAN and sophisticated language models such as ChatGPT. These technologies can create hyper-realistic images and conversations, blurring the line between authentic human presence and synthetic creations. While this […]

The post AI-Generated Personas: Trust and Deception appeared first on Security Boulevard.

In today’s ever-evolving cybersecurity landscape, organizations are grappling with a delicate balance: safeguarding their digital environments while managing costs and ensuring compliance. At GITEX Global 2024, Seceon proudly joined our partner Tech First Gulf at Hall 2, Stand B30, where we demonstrated how our solutions provide more than just automated cybersecurity—they offer a strategic approach

The post Seceon at GITEX Global 2024: Driving Cybersecurity Innovation with Tech First Gulf appeared first on Seceon Inc.

The post Seceon at GITEX Global 2024: Driving Cybersecurity Innovation with Tech First Gulf appeared first on Security Boulevard.