#FactCheck - Debunking Manipulated Photos of Smiling Secret Service Agents During Trump Assassination Attempt
Executive Summary:
Viral pictures featuring US Secret Service agents smiling while protecting former President Donald Trump during a planned attempt to kill him in Pittsburgh have been clarified as photoshopped pictures. The pictures making the rounds on social media were produced by AI-manipulated tools. The original image shows no smiling agents found on several websites. The event happened with Thomas Mathew Crooks firing bullets at Trump at an event in Butler, PA on July 13, 2024. During the incident one was deceased and two were critically injured. The Secret Service stopped the shooter, and circulating photos in which smiles were faked have stirred up suspicion. The verification of the face-manipulated image was debunked by the CyberPeace Research Team.

Claims:
Viral photos allegedly show United States Secret Service agents smiling while rushing to protect former President Donald Trump during an attempted assassination in Pittsburgh, Pennsylvania.



Fact Check:
Upon receiving the posts, we searched for any credible source that supports the claim made, we found several articles and images of the incident but in those the images were different.

This image was published by CNN news media, in this image we can see the US Secret Service protecting Donald Trump but not smiling. We then checked for AI Manipulation in the image using the AI Image Detection tool, True Media.


We then checked with another AI Image detection tool named, contentatscale AI image detection, which also found it to be AI Manipulated.

Comparison of both photos:

Hence, upon lack of credible sources and detection of AI Manipulation concluded that the image is fake and misleading.
Conclusion:
The viral photos claiming to show Secret Service agents smiling when protecting former President Donald Trump during an assassination attempt have been proven to be digitally manipulated. The original image found on CNN Media shows no agents smiling. The spread of these altered photos resulted in misinformation. The CyberPeace Research Team's investigation and comparison of the original and manipulated images confirm that the viral claims are false.
- Claim: Viral photos allegedly show United States Secret Service agents smiling while rushing to protect former President Donald Trump during an attempted assassination in Pittsburgh, Pennsylvania.
- Claimed on: X, Thread
- Fact Check: Fake & Misleading
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A report by MarketsandMarkets in 2024 showed that the global AI market size is estimated to grow from USD 214.6 billion in 2024 to USD 1,339.1 billion in 2030, at a CAGR of 35.7%. AI has become an enabler of productivity and innovation. A Forbes Advisor survey conducted in 2023 reported that 56% of businesses use AI to optimise their operations and drive efficiency. Further, 51% use AI for cybersecurity and fraud management, 47% employ AI-powered digital assistants to enhance productivity and 46% use AI to manage customer relationships.
AI has revolutionised business functions. According to a Forbes survey, 40% of businesses rely on AI for inventory management, 35% harness AI for content production and optimisation and 33% deploy AI-driven product recommendation systems for enhanced customer engagement. This blog addresses the opportunities and challenges posed by integrating AI into operational efficiency.
Artificial Intelligence and its resultant Operational Efficiency
AI has exemplary optimisation or efficiency capabilities and is widely used to do repetitive tasks. These tasks include payroll processing, data entry, inventory management, patient registration, invoicing, claims processing, and others. AI use has been incorporated into such tasks as it can uncover complex patterns using NLP, machine learning, and deep learning beyond human capabilities. It has also shown promise in improving the decision-making process for businesses in time-critical, high-pressure situations.
AI-driven efficiency is visible in industries such as the manufacturing industry for predictive maintenance, in the healthcare industry for streamlining diagnostics and in logistics for route optimisation. Some of the most common real-world examples of AI increasing operational efficiency are self-driving cars (Tesla), facial recognition (Apple Face ID), language translation (Google Translate), and medical diagnosis (IBM Watson Health)
Harnessing AI has advantages as it helps optimise the supply chain, extend product life cycles, and ultimately conserve resources and cut operational costs.
Policy Implications for AI Deployment
Some of the policy implications for development for AI deployment are as follows:
- Develop clear and adaptable regulatory frameworks for the ongoing and future developments in AI. The frameworks need to ensure that innovation is not hindered while managing the potential risks.
- As AI systems rely on high-quality data that is accessible and interoperable to function effectively and without proper data governance, these systems may produce results that are biased, inaccurate and unreliable. Therefore, it is necessary to ensure data privacy as it is essential to maintain trust and prevent harm to individuals and organisations.
- Policy developers need to focus on creating policies that upskill the workforce which complements AI development and therefore job displacement.
- To ensure cross-border applicability and efficiency of standardising AI policies, the policy-makers need to ensure that international cooperation is achieved when developing the policies.
Addressing Challenges and Risks
Some of the main challenges that emerge with the development of AI are algorithmic bias, cybersecurity threats and the dependence on exclusive AI solutions or where the company retains exclusive control over the source codes. Some policy approaches that can be taken to mitigate these challenges are:
- Having a robust accountability mechanism.
- Establishing identity and access management policies that have technical controls like authentication and authorisation mechanisms.
- Ensure that the learning data that AI systems use follows ethical considerations such as data privacy, fairness in decision-making, transparency, and the interpretability of AI models.
Conclusion
AI can contribute and provide opportunities to drive operational efficiency in businesses. It can be an optimiser for productivity and costs and foster innovation for different industries. But this power of AI comes with its own considerations and therefore, it must be balanced with proactive policies that address the challenges that emerge such as the need for data governance, algorithmic bias and risks associated with cybersecurity. A solution to overcome these challenges is establishing an adaptable regulatory framework, fostering workforce upskilling and promoting international collaborations. As businesses integrate AI into core functions, it becomes necessary to leverage its potential while safeguarding fairness, transparency, and trust. AI is not just an efficiency tool, it has become a stimulant for organisations operating in a rapidly evolving digital world.
References
- https://indianexpress.com/article/technology/artificial-intelligence/ai-indian-businesses-long-term-gain-operational-efficiency-9717072/
- https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-market-74851580.html
- https://www.forbes.com/councils/forbestechcouncil/2024/08/06/smart-automation-ais-impact-on-operational-efficiency/
- https://www.processexcellencenetwork.com/ai/articles/ai-operational-excellence
- https://www.leewayhertz.com/ai-for-operational-efficiency/
- https://www.forbes.com/councils/forbestechcouncil/2024/11/04/bringing-ai-to-the-enterprise-challenges-and-considerations/
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Introduction
Against the dynamic backdrop of Mumbai, where the intersection of age-old markets and cutting-edge innovation is a daily reality, an initiative of paramount importance has begun to take shape within the hallowed walls of the Reserve Bank of India (RBI). This is not just a tweak, a nudge in policy, or a subtle refinement of protocols. What we're observing is nothing short of a paradigmatic shift, a recalibration of systemic magnitude, that aims to recalibrate the way India's financial monoliths oversee, manage, and secure their informational bedrock – their treasured IT systems.
On the 7th of November, 2023, the Reserve Bank of India, that bastion of monetary oversight and national fiscal stability, unfurled a new doctrine – the 'Master Direction on Information Technology Governance, Risk, Controls, and Assurance Practices.' A document comprehensive in its reach, it presents not merely an update but a consolidation of all previously issued guidelines, instructions, and circulars relevant to IT governance, plaited into a seamless narrative that extols virtues of structured control and unimpeachable assurance practices. Moreover, it grasps the future potential of Business Continuity and Disaster Recovery Management, testaments to RBI's forward-thinking vision.
This novel edict has been crafted with a target audience that spans the varied gamut of financial entities – from Scheduled Commercial Banks to Non-Banking Financial Companies, from Credit Information Companies to All India Financial Institutions. These are the juggernauts that keep the economic wheels of the nation churning, and RBI's precision-guided document is an unambiguous acknowledgment of the vital role IT holds in maintaining the heartbeat of these financial bodies. Here lies a riveting declaration that robust governance structures aren't merely preferred but essential to manage the landscape of IT-related risks that balloon in an era of ever-proliferating digital complexity.
Directive Structure
The directive's structure is a combination of informed precision and intuitive foresight. Its seven chapters are not simply a grouping of topics; they are the seven pillars upon which the temple of IT governance is to be erected. The introductory chapter does more than set the stage – it defines the very reality, the scope, and the applicability of the directive, binding the reader in an inextricable covenant of engagement and anticipation. It's followed by a deep dive into the cradle of IT governance in the second chapter, drawing back the curtain to reveal the nuanced roles and defiant responsibilities bestowed upon the Board of Directors, the IT Strategy Committee, the clairvoyant Senior Management, the IT Steering Committee, and the pivotal Head of IT Function.
As we move along to the third chapter, we encounter the nuts and bolts of IT Infrastructure & Services Management. This is not just a checklist; it is an orchestration of the management of IT services, third-party liaisons, the calculus of capacity management, and the nuances of project management. Here terms like change and patch management, cryptographic controls, and physical and environmental safeguards leap from the page – alive with earnest practicality, demanding not just attention but action.
Transparency deepens as we glide into the fourth chapter with its robust exploration of IT and Information Security Risk Management. Here, the demand for periodic dissection of IT-related perils is made clear, along with the edifice of an IT and Information Security Risk Management Framework, buttressed by the imperatives of Vulnerability Assessment and Penetration Testing.
The fifth chapter presents a tableau of circumspection and preparedness, as it waxes eloquent on the necessity and architecture of a well-honed Business Continuity Plan and a disaster-ready DR Policy. It is a paean to the anticipatory stance financial institutions must employ in a world fraught with uncertainty.
Continuing the narrative, the sixth chapter places the spotlight on Information Systems Audit, delineating the precise role played by the Audit Committee of the Board in ushering in accountability through an exhaustive IS Audit of the institution's virtual expanse.
And as we perch on the final chapter, we're privy to the 'repeal and other provisions' of the directive, underscoring the interplay of other applicable laws and the interpretation a reader may yield from the directive's breadth.
Conclusion
To proclaim that this directive is a mere step forward in the RBI's exhaustive and assiduous efforts to propel India's financial institutions onto the digital frontier would be a grave understatement. What we are witnessing is the inception of a more adept, more secure, and more resilient financial sector. This directive is nothing less than a beacon, shepherding in an epoch of IT governance marked by impervious governance structures, proactive risk management, and an unyielding commitment to the pursuit of excellence and continuous improvement. This is no ephemeral shift - this is, indisputably, a revolutionary stride into a future where confidence and competence stand as the watchwords in navigating the digital terra incognita.
References:

Introduction
On March 12, the Ministry of Corporate Affairs (MCA) proposed the Bill to curb anti-competitive practices of tech giants through ex-ante regulation. The Draft Digital Competition Bill is to apply to ‘Core Digital Services,’ with the Central Government having the authority to update the list periodically. The proposed list in the Bill encompasses online search engines, online social networking services, video-sharing platforms, interpersonal communications services, operating systems, web browsers, cloud services, advertising services, and online intermediation services.
The primary highlight of the Digital Competition Law Report created by the Committee on Digital Competition Law presented to the Parliament in the 2nd week of March 2024 involves a recommendation to introduce new legislation called the ‘Digital Competition Act,’ intended to strike a balance between certainty and flexibility. The report identified ten anti-competitive practices relevant to digital enterprises in India. These are anti-steering, platform neutrality/self-preferencing, bundling and tying, data usage (use of non-public data), pricing/ deep discounting, exclusive tie-ups, search and ranking preferencing, restricting third-party applications and finally advertising Policies.
Key Take-Aways: Digital Competition Bill, 2024
- Qualitative and quantitative criteria for identifying Systematically Significant Digital Enterprises, if it meets any of the specified thresholds.
- Financial thresholds in each of the immediately preceding three financial years like turnover in India, global turnover, gross merchandise value in India, or global market capitalization.
- User thresholds in each of the immediately preceding 3 financial years in India like the core digital service provided by the enterprise has at least 1 crore end users, or it has at least 10,000 business users.
- The Commission may make the designation based on other factors such as the size and resources of an enterprise, number of business or end users, market structure and size, scale and scope of activities of an enterprise and any other relevant factor.
- A period of 90 days is provided to notify the CCI of qualification as an SSDE. Additionally, the enterprise must also notify the Commission of other enterprises within the group that are directly or indirectly involved in the provision of Core Digital Services, as Associate Digital Enterprises (ADE) and the qualification shall be for 3 years.
- It prescribes obligations for SSDEs and their ADEs upon designation. The enterprise must comply with certain obligations regarding Core Digital Services, and non-compliance with the same shall result in penalties. Enterprises must not directly or indirectly prevent or restrict business users or end users from raising any issue of non-compliance with the enterprise’s obligations under the Act.
- Avoidance of favouritism in product offerings by SSDE, its related parties, or third parties for the manufacture and sale of products or provision of services over those offered by third-party business users on the Core Digital Service in any manner.
- The Commission will be having the same powers as vested to a civil court under the Code of Civil Procedure, 1908 when trying a suit.
- Penalty for non-compliance without reasonable cause may extend to Rs 1 lakh for each day during which such non-compliance occurs (max. of Rs 10 crore). It may extend to 3 years or with a fine, which may extend to Rs 25 crore or with both. The Commission may also pass an order imposing a penalty on an enterprise (not exceeding 1% of the global turnover) in case it provides incorrect, incomplete, misleading information or fails to provide information.
Suggestions and Recommendations
- The ex-ante model of regulation needs to be examined for the Indian scenario and studies need to be conducted on it has worked previously in different jurisdictions like the EU.
- The Bill should be aimed at prioritising the fostering of fair competition by preventing monopolistic practices in digital markets exclusively. A clear distinction from the already existing Competition Act, 2002 in its functioning needs to be created so that there is no overlap in the regulations and double jeopardy is not created for enterprises.
- Restrictions on tying and bundling and data usage have been shown to negatively impact MSMEs that rely significantly on big tech to reduce operational costs and enhance customer outreach.
- Clear definitions of "dominant position" and "anti-competitive behaviour" are essential for effective enforcement in terms of digital competition need to be defined.
- Encouraging innovation while safeguarding consumer data privacy in consonance with the DPDP Act should be the aim. Promoting interoperability and transparency in algorithms can prevent discriminatory practices.
- Regular reviews and stakeholder consultations will ensure the law adapts to rapidly evolving technologies.
- Collaboration with global antitrust bodies which is aimed at enhancing cross-border regulatory coherence and effectiveness.
Conclusion
The need for a competition law that is focused exclusively on Digital Enterprises is the need of the hour and hence the Committee recommended enacting the Digital Competition Act to enable CCI to selectively regulate large digital enterprises. The proposed legislation should be restricted to regulate only those enterprises that have a significant presence and ability to influence the Indian digital market. The impact of the law needs to be restrictive to digital enterprises and it should not encroach upon matters not influenced by the digital arena. India's proposed Digital Competition Bill aims to promote competition and fairness in the digital market by addressing anti-competitive practices and dominant position abuses prevalent in the digital business space. The Ministry of Corporate Affairs has received 41-page public feedback on the draft which is expected to be tabled next year in front of the Parliament.
References
- https://www.medianama.com/wp-content/uploads/2024/03/DRAFT-DIGITAL-COMPETITION-BILL-2024.pdf
- https://prsindia.org/files/policy/policy_committee_reports/Report_Summary-Digital_Competition_Law.pdf
- https://economictimes.indiatimes.com/tech/startups/meity-meets-india-inc-to-hear-out-digital-competition-law-concerns/articleshow/111091837.cms?from=mdr
- https://www.mca.gov.in/bin/dms/getdocument?mds=gzGtvSkE3zIVhAuBe2pbow%253D%253D&type=open
- https://www.barandbench.com/law-firms/view-point/digital-competition-laws-beginning-of-a-new-era
- https://www.linkedin.com/pulse/policy-explainer-digital-competition-bill-nimisha-srivastava-lhltc/
- https://www.lexology.com/library/detail.aspx?g=5722a078-1839-4ece-aec9-49336ff53b6c