US National Cybersecurity Strategy

Introduction

The ongoing armed conflict between Israel and Hamas/ Palestine is in the news all across the world. The latest conflict was triggered by unprecedented attacks against Israel by Hamas militants on October 7, killing thousands of people. Israel has launched a massive counter-offensive against the Islamic militant group. Amid the war, the bad information and propaganda spreading on various social media platforms, tech researchers have detected a network of 67 accounts that posted false content about the war and received millions of views. The ‘European Commission’ has sent a letter to Elon Musk, directing them to remove illegal content and disinformation; otherwise, penalties can be imposed. The European Commission has formally requested information from several social media giants on their handling of content related to the Israel-Hamas war. This widespread disinformation impacts and triggers the nature of war and also impacts the world and affects the goodwill of the citizens. The bad group, in this way, weaponise the information and fuels online hate activity, terrorism and extremism, flooding political polarisation with hateful content on social media. Online misinformation about the war is inciting extremism, violence, hate and different propaganda-based ideologies. The online information environment surrounding this conflict is being flooded with disinformation and misinformation, which amplifies the nature of war and too many fake narratives and videos are flooded on social media platforms.

Response of social media platforms 

As there is a proliferation of online misinformation and violent content surrounding the war, It imposes a question on social media companies in terms of content moderation and other policy shifts.  It is notable that Instagram, Facebook and X(Formerly Twitter) all have certain features in place giving users the ability to decide what content they want to view. They also allow for limiting the potentially sensitive content from being displayed in search results.

The experts say that It is of paramount importance to get a sort of control in this regard and define what is permissible online and what is not, Hence, what is required is expertise to determine the situation, and most importantly, It requires robust content moderation policies. 

During wartime, people who are aggrieved or provoked are often targeted by this internet disinformation that blends ideological beliefs and spreads conspiracy theories and hatred. This is not a new phenomenon, it is often observed that disinformation-spreading groups emerged and became active during such war and emergency times and spread disinformation and propaganda-based ideologies and influence the society at large by misrepresenting the facts and planted stories. Social media has made it easier to post user-generated content without properly moderating it. However, it is a shared responsibility of tech companies, users, government guidelines and policies to collectively define and follow certain mechanisms to fight against disinformation and misinformation.  

Digital Services Act (DSA)

The newly enacted EU law, i.e. Digital Services Act, pushes various larger online platforms to prevent posts containing illegal content and also puts limits on targeted advertising. DSA enables to challenge the of illegal online content and also poses requirements to prevent misinformation and disinformation and ensure more transparency over what the users see on the platforms. Rules under the DSA cover everything from content moderation & user privacy to transparency in operations. DSA is a landmark EU legislation moderating online platforms.  Large tech platforms are now subject to content-related regulation under this new EU law ‘The Digital Services Act’, which also requires them to prevent the spread of misinformation and disinformation and overall ensure a safer online environment.

Indian Scenario

The Indian government introduced the Intermediary Guidelines (Intermediary Guidelines and Digital Media Ethics Code) Rules, updated in 2023 which talks about the establishment of a "fact check unit" to identify false or misleading online content. Digital Personal Data Protection, 2023 has also been enacted which aims to protect personal data. The upcoming Digital India bill is also proposed to be tabled in the parliament, this act will replace the current Information & Technology Act, of 2000. The upcoming Digital India bill can be seen as future-ready legislation to strengthen India’s current cybersecurity posture. It will comprehensively deal with the aspects of ensuring privacy, data protection, and fighting growing cyber crimes in the evolving digital landscape and ensuring a safe digital environment. Certain other entities including civil societies are also actively engaged in fighting misinformation and spreading awareness for safe and responsible use of the Internet. 

Conclusion:

The widespread disinformation and misinformation content amid the Israel-Hamas war showcases how user-generated content on social media shows you the illusion of reality. There is widespread misinformation, misleading content or posts on social media platforms, and misuse of new advanced AI technologies that even make it easier for bad actors to create synthetic media content. It is also notable that social media has connected us like never before. Social media is a great platform with billions of active social media users around the globe, it offers various conveniences and opportunities to individuals and businesses. It is just certain aspects that require the attention of all of us to prevent the bad use of social media. The social media platforms and regulatory authorities need to be vigilant and active in clearly defining and improving the policies for content regulation and safe and responsible use of social media which can effectively combat and curtail the bad actors from misusing social media for their bad motives. As a user, it's the responsibility of users to exercise certain duties and promote responsible use of social media. With the increasing penetration of social media and the internet, misinformation is rampant all across the world and remains a global issue which needs to be addressed properly by implementing strict policies and adopting best practices to fight the misinformation. Users are encouraged to flag and report misinformative or misleading content on social media and should always verify it from authentic sources. Hence creating a safer Internet environment for everyone.

References:

• https://abcnews.go.com/US/experts-fear-hate-extremism-social-media-israel-hamas-war/story?id=104221215
• https://edition.cnn.com/2023/10/14/tech/social-media-misinformation-israel-hamas/index.html
• https://www.nytimes.com/2023/10/13/business/israel-hamas-misinformation-social-media-x.html
• https://www.africanews.com/2023/10/24/fact-check-misinformation-about-the-israel-hamas-war-is-flooding-social-media-here-are-the//
• https://www.theverge.com/23845672/eu-digital-services-act-explained

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Executive Summary:

A new threat being uncovered in today’s threat landscape is that while threat actors took an average of one hour and seven minutes to leverage Proof-of-Concept(PoC) exploits after they went public, now the time is at a record low of 22 minutes. This incredibly fast exploitation means that there is very limited time for organizations’ IT departments to address these issues and close the leaks before they are exploited. Cloudflare released the Application Security report which shows that the attack percentage is more often higher than the rate at which individuals invent and develop security countermeasures like the WAF rules and software patches. In one case, Cloudflare noted an attacker using a PoC-based attack within a mere 22 minutes from the moment it was released, leaving almost no time for a remediation window. 

Despite the constant growth of vulnerabilities in various applications and systems, the share of exploited vulnerabilities, which are accompanied by some level of public exploit or PoC code, has remained relatively stable over the past several years and fluctuates around 50%. These vulnerabilities with publicly known exploit code, 41% was initially attacked in the zero-day mode while of those with no known code, 84% was first attacked in the same mode. 

Modus Operandi:

The modus operandi of the attack involving the rapid weaponization of proof-of-concept (PoC) exploits is characterized by the following steps:

• Vulnerability Identification: Threat actors bring together the exploitation of a system vulnerability that may be in the software or hardware of the system; this may be a code error, design failure, or a configuration error. This is normally achieved using vulnerability scanners and test procedures that have to be performed manually. 

• Vulnerability Analysis: After the vulnerability is identified, the attackers study how it operates to determine when and how it can be triggered and what consequences that action will have. This means that one needs to analyze the details of the PoC code or system to find out the connection sequence that leads to vulnerability exploitation. 

• Exploit Code Development: Being aware of the weakness, the attackers develop a small program or script denoted as the PoC that addresses exclusively the identified vulnerability and manipulates it in a moderated manner. This particular code is meant to be utilized in showing a particular penalty, which could be unauthorized access or alteration of data. 

• Public Disclosure and Weaponization: The PoC exploit is released which is frequently done shortly after the vulnerability has been announced to the public. This makes it easier for the attackers to exploit it while waiting for the software developer to release the patch. To illustrate, Cloudflare has spotted an attacker using the PoC-based exploit 22 minutes after the publication only. 

• Attack Execution: The attackers then use the weaponized PoC exploit to attack systems which are known to be vulnerable to it. Some of the actions that are tried in this context are attempts at running remote code, unauthorized access and so on. The pace at which it happens is often much faster than the pace at which humans put in place proper security defense mechanisms, such as the WAF rules or software application fixes. 

• Targeted Operations: Sometimes, they act as if it’s a planned operation, where the attackers are selective in the system or organization to attack. For example, exploitation of CVE-2022-47966 in ManageEngine software was used during the espionage subprocess, where to perform such activity, the attackers used the mentioned vulnerability to install tools and malware connected with espionage. 

Precautions: Mitigation

Following are the mitigating measures against the PoC Exploits: 

1. Fast Patching and New Vulnerability Handling 

• Introduce proper patching procedures to address quickly the security released updates and disclosed vulnerabilities. 

• Focus should be made on the patching of those vulnerabilities that are observed to be having available PoC exploits, which often risks being exploited almost immediately.

• It is necessary to frequently check for the new vulnerability disclosures and PoC releases and have a prepared incident response plan for this purpose. 

2. Leverage AI-Powered Security Tools 

•  Employ intelligent security applications which can easily generate desirable protection rules and signatures as attackers ramp up the weaponization of PoC exploits. 

• Step up use of artificial intelligence (AI) - fueled endpoint detection and response (EDR) applications to quickly detect and mitigate the attempts. 

• Integrate Artificial Intelligence based SIEM tools to Detect & analyze Indicators of compromise to form faster reaction. 

 3. Network Segmentation and Hardening 

• Use strong networking segregation to prevent the attacker’s movement across the network and also restrict the effects of successful attacks. 

• Secure any that are accessible from the internet, and service or protocols such as RDP, CIFS, or Active directory. 

• Limit the usage of native scripting applications as much as possible because cyber attackers may exploit them. 

4. Vulnerability Disclosure and PoC Management 

• Inform the vendors of the bugs and PoC exploits and make sure there is a common understanding of when they are reported, to ensure fast response and mitigation. 

• It is suggested to incorporate mechanisms like digital signing and encryption for managing and distributing PoC exploits to prevent them from being accessed by unauthorized persons. 

• Exploits used in PoC should be simple and independent with clear and meaningful variable and function names that help reduce time spent on triage and remediation. 

5. Risk Assessment and Response to Incidents 

• Maintain constant supervision of the environment with an intention of identifying signs of a compromise, as well as, attempts of exploitation. 

• Support a frequent detection, analysis and fighting of threats, which use PoC exploits into the system and its components. 

• Regularly communicate with security researchers and vendors to understand the existing threats and how to prevent them.

Conclusion:

The rapid process of monetization of Proof of Concept (POC) exploits is one of the most innovative and constantly expanding global threats to cybersecurity at the present moment. Cyber security experts must react quickly while applying a patch, incorporate AI to their security tools, efficiently subdivide their networks and always heed their vulnerability announcements. Stronger incident response plan would aid in handling these kinds of menaces. Hence, applying measures mentioned above, the organizations will be able to prevent the acceleration of turning PoC exploits into weapons and the probability of neutral affecting cyber attacks. 

Reference:

https://www.mayrhofer.eu.org/post/vulnerability-disclosure-is-positive/

https://www.uptycs.com/blog/new-poc-exploit-backdoor-malware

https://www.balbix.com/insights/attack-vectors-and-breach-methods/

https://blog.cloudflare.com/application-security-report-2024-update

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In the rich history of humanity, the advent of artificial intelligence (AI) has added a new, delicate aspect. The aspect of promising technological advancement has the potential to either enrich the nest of our society or destroy it entirely. The latest straw in this complex nest is generative AI, a frontier teeming with both potential and perils. It is a realm where the ethereal concepts of cyber peace and resilience are not just theoretical constructs but tangible necessities.

The spectre of generative AI looms large over the digital landscape, casting a long shadow on the sanctity of data privacy and the integrity of political processes. The seeds of this threat were sown in the fertile soil of the Cambridge Analytica scandal of 2018, a watershed moment that unveiled the extent to which personal data could be harvested and utilized to influence electoral outcomes. However despite the indignation, the scandal resulted in meagre alterations to modus operandi of digital platforms.

Fast forward to the present day, and the spectre has only grown more ominous. A recent report by Human Rights Watch has shed light on the continued exploitation of data-driven campaigning in Hungary's re-election of Viktor Orbán. The report paints a chilling picture of political parties leveraging voter databases for targeted social media advertising, with the ruling Fidesz party even resorting to the unethical use of public service data to bolster its voter database.

The Looming Threat of Disinformation

As we stand on the precipice of 2024, a year that will witness over 50 countries holding elections, the advancements in generative AI could exponentially amplify the ability of political campaigns to manipulate electoral outcomes. This is particularly concerning in countries where information disparities are stark, providing fertile ground for the seeds of disinformation to take root and flourish.

The media, the traditional watchdog of democracy, has already begun to sound the alarm about the potential threats posed by deepfakes and manipulative content in the upcoming elections. The limited use of generative AI in disinformation campaigns has raised concerns about the enforcement of policies against generating targeted political materials, such as those designed to sway specific demographic groups towards a particular candidate.

Yet, while the threat of bad actors using AI to generate and disseminate disinformation is real and present, there is another dimension that has largely remained unexplored: the intimate interactions with chatbots. These digital interlocutors, when armed with advanced generative AI, have the potential to manipulate individuals without any intermediaries. The more data they have about a person, the better they can tailor their manipulations.

Root of the Cause 

To fully grasp the potential risks, we must journey back 30 years to the birth of online banner ads. The success of the first-ever banner ad for AT&T, which boasted an astounding 44% click rate, birthed a new era of digital advertising. This was followed by the advent of mobile advertising in the early 2000s. Since then, companies have been engaged in a perpetual quest to harness technology for manipulation, blurring the lines between commercial and political advertising in cyberspace.

Regrettably, the safeguards currently in place are woefully inadequate to prevent the rise of manipulative chatbots. Consider the case of Snapchat's My AI generative chatbot, which ostensibly assists users with trivia questions and gift suggestions. Unbeknownst to most users, their interactions with the chatbot are algorithmically harvested for targeted advertising. While this may not seem harmful in its current form, the profit motive could drive it towards more manipulative purposes.

If companies deploying chatbots like My AI face pressure to increase profitability, they may be tempted to subtly steer conversations to extract more user information, providing more fuel for advertising and higher earnings. This kind of nudging is not clearly illegal in the U.S. or the EU, even after the AI Act comes into effect. The market size of AI in India is projected to touch US$4.11bn in 2023. 

Taking this further, chatbots may be inclined to guide users towards purchasing specific products or even influencing significant life decisions, such as religious conversions or voting choices. The legal boundaries here remain unclear, especially when manipulation is not detectable by the user. 

The Crucial Dos/Dont's 

It is crucial to set rules and safeguards in order to manage the possible threats related to manipulative chatbots in the context of the general election in 2024.

First and foremost, candor and transparency are essential. Chatbots, particularly when employed for political or electoral matters, ought to make it clear to users what they are for and why they are automated. By being transparent, people are guaranteed to be aware that they are interacting with automated processes.

Second, getting user consent is crucial. Before collecting user data for any reason, including advertising or political profiling, users should be asked for their informed consent. Giving consumers easy ways to opt-in and opt-out gives them control over their data.

Furthermore, moral use is essential. It's crucial to create an ethics code for chatbot interactions that forbids manipulation, disseminating false information, and trying to sway users' political opinions. This guarantees that chatbots follow moral guidelines.

In order to preserve transparency and accountability, independent audits need to be carried out. Users might feel more confident knowing that chatbot behavior and data collecting procedures are regularly audited by impartial third parties to ensure compliance with legal and ethical norms.

Important "don'ts" to take into account. Coercion and manipulation ought to be outlawed completely. Chatbots should refrain from using misleading or manipulative approaches to sway users' political opinions or religious convictions.

Another hazard to watch out for is unlawful data collecting. Businesses must obtain consumers' express agreement before collecting personal information, and they must not sell or share this information for political reasons.

At all costs, one should steer clear of fake identities. Impersonating people or political figures is not something chatbots should do because it can result in manipulation and false information.

It is essential to be impartial. Bots shouldn't advocate for or take part in political activities that give preference to one political party over another. In encounters, impartiality and equity are crucial.

Finally, one should refrain from using invasive advertising techniques. Chatbots should ensure that advertising tactics comply with legal norms by refraining from displaying political advertisements or messaging without explicit user agreement.

Present Scenario

As we approach the critical 2024 elections and generative AI tools proliferate faster than regulatory measures can keep pace, companies must take an active role in building user trust, transparency, and accountability. This includes comprehensive disclosure about a chatbot's programmed business goals in conversations, ensuring users are fully aware of the chatbot's intended purposes.

To address the regulatory gap, stronger laws are needed. Both the EU AI Act and analogous laws across jurisdictions should be expanded to address the potential for manipulation in various forms. This effort should be driven by public demand, as the interests of lawmakers have been influenced by intensive Big Tech lobbying campaigns.

At present, India doesn’t have any specific laws pertaining to AI regulation. Ministry of Electronics and Information Technology (MEITY), is the executive body responsible for AI strategies and is constantly working towards a policy framework for AI. The Niti Ayog has presented seven principles for responsible AI which includes equality , inclusivity, safety, privacy, transparency, accountability, dependability and protection of positive human values.

Conclusion 

We are at a pivotal juncture in history. As generative AI gains more power, we must proactively establish effective strategies to protect our privacy, rights and democracy. The public's waning confidence in Big Tech and the lessons learned from the techlash underscore the need for stronger regulations that hold tech companies accountable. Let's ensure that the power of generative AI is harnessed for the betterment of society and not exploited for manipulation.

Reference

McCallum, B. S. (2022, December 23). Meta settles Cambridge Analytica scandal case for $725m. BBC News. https://www.bbc.com/news/technology-64075067

Hungary: Data misused for political campaigns. (2022, December 1). Human Rights Watch. https://www.hrw.org/news/2022/12/01/hungary-data-misused-political-campaigns

Statista. (n.d.). Artificial Intelligence - India | Statista Market forecast. https://www.statista.com/outlook/tmo/artificial-intelligence/india