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Catalyst Intelligence

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Last Updated: 02 July 2021

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General | Latest Info

Artificial Intelligence is not a new phenomenon and algorithms and logics that form the basis of AI have persisted in the world of statistical analysis / mathematical modeling since turing test, test of machines ' ability to exhibit intelligent behavior, developed in 1950. What has changed now is that compute, storage and networking have become cheaper and faster and AI algorithms for machine learning and deep learning are getting more efficient due to investments that have happened in this space over the last few years. These advancements have expanded the scope of AI exponentially-AI now enables organizations to derive meaningful insights from large data sets for faster decision making and augments human capabilities to provide productivity benefits in front, middle and back office work. Artificial Intelligence is here to stay and change the nature of the workforce for good, but what needs to be seen and understood is, what is a good starting point for an organization to begin its AI journey? Moot point is how AI-base systems can be made more responsible and explainable and leveraged to boost efficiency of human worker, What are use cases that organizations can identify and invest IT in more forward-looking manner other than ones where there is clear productivity benefit and impact on bottom-line. How to overcome AI adoption barriers and scale IT and a methodical approach to applying AI to business process services. A major reason for the conservative approach to AI adoption is lack of trust. Machine learning is the backbone of most AI-related success stories today, However, lack of explanation behind certain decisions that AI systems make is a major roadblock. Effective frameworks need to be created that can explain the rationale behind certain decisions taken by AI system. Explainable AI is need of hour, as IT will help build trust amongst users and organizations. Complementary features that need to be incorporated with each AI deployment are strong governance and legal framework. What if certain AI decisions go haywire, who is going to be held accountable and what will be the repercussions of such a scenario? Another limiting factor is the dearth of varied data sets available to be fed into AI systems. Machine learning thrives on large volumes of data, with its accuracy dependent on the length and breadth of training data being used. While some of these challenges are technology driven, major point of contention for organizations today is think of reinventing their business models. Organizations will need to transform their operating models and a key factor for this is how CXOs and board members prioritize initiatives and back them with resources. Widespread AI adoption will also require organizations to retrain their existing employees and hire digital employees who are capable of handling AI systems. The true benefit of AI will be realized by augmenting human decisions with AI. This will involve reconfiguring the workforce to do more complicated and novel tasks.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Cyber Attribution

The United States still struggle to find effective policies for deterring cyber-attacks. Suggestions range from more widespread use of indictments and economic sanctions, despite their lackluster record of success, to less traditional but more risky policies that emphasise the asymmetric advantage America has in conventional military power. Most of discussion of Cyber Deterrence focuses on preventing a single catastrophic or cascading cyberattack that would threaten lives like disruptions to electricity transmission or clean water, altering election outcomes or grinding global finance to halt. Yet the reality is that in the event of such an attack, response would likely not come from the US alone but from the NATO Alliance in concert. NATO Cyber-Defense mandate has evolved over time to update its collective Defense commitment under Article V of the North Atlantic Treaty for era of cyberattacks. In latest effort to collectively impose costs on adversaries, 2018 NATO Summit saw commitment from heads of state and government to integrate sovereign Cyber effects, provided voluntarily by Allies, into Alliance operations and missions, in framework of strong political oversight. The newly updated White House National Cyber Strategy likewise envisions working together with a coalition of like-mind states to ensure adversaries understand the consequences of their malicious cyber behavior. Therein lay rub. Both formal alliances, such as NATO and more ad hoc arrangements, such as what the Cyber Deterrence Initiative imagines, will require members to share intelligence and eventually, to the best of their ability and perhaps in different domains, contribute to joint action against presumably well-arm foreign aggressor. States including the United States, United Kingdom, Netherlands, Estonia, and Denmark have publicly declared their willingness to lend sovereign offensive Cyber effects to deter, defend against and counter the full spectrum of threats. Sharing intelligence and information is a key element of NATO's core decision-making process enshrine in Article 4 of the Washington Treaty. Political consultations are part of preventive diplomacy between member States, but they are also avenue to discuss concerns related to security threats member States face. These consultations can be a catalyst for reaching consensus on policies to be adopted or actions to be take, including those on use of sovereign Cyber effects to support NATO Operation. The Alliance has a track record of collective action and cooperative security measures. For example, Operation Active Endeavour helped to deter, disrupt and protect against Terrorist Activity in the Mediterranean in the aftermath of the 9 / 11 Terrorist attacks, in solidarity with the United States. In the United States, greatest failures of response and deterrence to foreign aggression in Cyberspace have not been caused by lack of intelligence, capability or imagination. Rather, US policy has been serviceable in theory but impotent in practice because of inability to translate technical findings and intelligence into public support for sufficiently tough responses ordered by elected political leaders.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Computer & Mobile Forensics

As founder of Catalyst Intelligence, Mr. Pikor is an accomplished executive with over twenty years of experience conducting high-stakes investigations on behalf of prominent law firms, Fortune 500 corporations, financial institutions and high-profile individuals. He specializes in complex due diligence research, cyber investigations and asset tracing, and has extensive experience in practice areas of workplace investigations, intellectual property disputes and class-action litigation. Mr. Pikors ability to unearth hidden financial, legal, business and online references about Party, and identify connections with other seemingly unrelated parties, has been a hallmark of his success as an Investigator over the past two decades. With access to an array of commercial databases as well as numerous proprietary online search tools and a global network of well-place investigative assets, Mr. Pikor regularly works with investment firms and sophisticated investors to develop in-depth profiles of prospective investment targets and their executive management teams. Mr. Pikors investigative findings have been utilized in court proceedings involving commercial loan defaults. At trial, testimony provided by Mr. Pikor helped secure a guilty verdict against an investor accused of making fraudulent asset transfers to avoid satisfying a multi-million dollar construction loan. In a separate matter, Mr. Pikors investigative findings were integral to his Law firm clients ' successful bid to vacate a 10 million FINRA arbitration award. Mr. Pikor regularly collaborates with outside and in-house counsel to investigate allegations of employee malfeasance and develop counter-measures to threats of workplace violence and corporate sabotage. He also has substantial experience orchestrating surveillance and undercover operations. Earlier in his career, Mr. Pikor was Regional Managing Director and Head of the Los Angeles Office of SafirRosetti, leading International Security and investigations firm. Prior to joining SafirRosetti, he worked as an analyst at prominent International Intelligence and investigative consultancies in Los Angeles and New York City. He also gained valuable research experience as an Information Specialist with Associated Press. Mr. Pikor earned his Bachelor of Arts degree in Psychology from Cornell University. He is a licensed Private Investigator in the State of California.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Catalyst Tools

Stephanie join the Catalyst team in 2015. With a background in both business and Law, Stephanie is an expert in conducting comprehensive background investigations, including financial analysis as well as legal analysis. She is a Master of online research-parsing voluminous data to find needle in haystack, and analyzing Intelligence from multiple conflicting sources. Deep dive social media research is another area in which Stephanie excels-finding hard-to-find profiles, discovering aliases, and unearthing potentially adverse information. Stephanies investigative experience includes due diligence of prospective investments on behalf of private equity firms; background diligence on Fortune 500 companies ' prospective board members; regulatory third-Party background check requisite for granting of money transmitter license; and assessments of bona fides of claimants and Arbitrators in various ADR forums. Her duties have recently expanded to include reputational assessments of newly formed crypto currency ventures for preeminent digital currency and blockchain Technology Law firm. Stephanie is also experience in gathering details and information in person, interviewing key parties and supporting witnesses as well as reluctant individuals and adverse witnesses. Stephanie has been praised by Catalyst clients for her ability to find difficult-to-find facts, witnesses and information. Prior to joining Catalyst, Stephanie spent close to a decade practicing Law at boutique firms in and around the Los Angeles area. Stephanie practices predominantly civil, commercial, and business litigation; clients include medical device manufacturer, well-know coffee company, and National cosmetics retailer. Then, after the firm merger, she began practicing family Law, which, in turn, led to a position handling high profile divorces and custody cases for a high octane firm in Beverly Hills. Stephanie received a Bachelor of Arts degree in Psychology from UCLA, and obtained a Juris Doctorate degree from Loyola Law School in Los Angeles, California.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

Sources

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions.

* Please keep in mind that all text is machine-generated, we do not bear any responsibility, and you should always get advice from professionals before taking any actions

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