Technology Trends Outlook 2024 - McKinsey.pdf
7.9 MB
Document from hadi
Forwarded from Information Technology Broadcasting - اطلاعرسانی فناوری اطلاعات (Hadi)
Solving problems aren’t easy, but solving the ones that can’t be seen by everybody is what makes a programmer. Best wishes to you on this Programmer’s Day😊🌹
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اصول و مبانی هوش مصنوعی.pdf
7.7 MB
Document from hadi
API sprawl is a term used to describe the uncontrolled proliferation of APIs within an organization. API sprawl can occur when different departments or teams within an organization create their own APIs to meet their specific needs, without proper oversight or governance.
#api
#api
Common API attacks include several well-known attack vectors:
# Machine in the middle attacks (MITM) allow hackers to quietly intercept communications and requests between two endpoints in a communication channel, enabling them to steal sensitive information.
# DDoS attacks (distributed denial-of-service attacks) attempt to overwhelm memory in an API by requesting thousands of connections simultaneously, tying up all available resources and resulting in a crash.
# SQL injection attacks gain access to software by simply injecting malicious code into poorly developed programs.
Insecure API key generation allows attackers to subvert traditional API security tools by generating and using a variety of API keys from a large pool of users.
# Insufficient logging and monitoring enable hackers to use an initial vulnerability as a foothold to search for additional weaknesses.
# Broken access controls allow attackers to gain access to privileged functions, to modify or delete contents on the website, or to steal sensitive data.
#api
# Machine in the middle attacks (MITM) allow hackers to quietly intercept communications and requests between two endpoints in a communication channel, enabling them to steal sensitive information.
# DDoS attacks (distributed denial-of-service attacks) attempt to overwhelm memory in an API by requesting thousands of connections simultaneously, tying up all available resources and resulting in a crash.
# SQL injection attacks gain access to software by simply injecting malicious code into poorly developed programs.
Insecure API key generation allows attackers to subvert traditional API security tools by generating and using a variety of API keys from a large pool of users.
# Insufficient logging and monitoring enable hackers to use an initial vulnerability as a foothold to search for additional weaknesses.
# Broken access controls allow attackers to gain access to privileged functions, to modify or delete contents on the website, or to steal sensitive data.
#api
Theme No. 1: AI imperatives and risks drive organizations to protect themselves
Trend 1: Agentic AI: Autonomous AI can plan and take action to achieve goals set by the user.
Business benefits: A virtual workforce of agents to assist, offload and augment the work of humans or traditional applications.
Challenges: Requires robust guardrails to ensure alignment with providers’ and users’ intentions.
Trend 2: AI governance platforms: Technology solutions enable organizations to manage the legal, ethical and operational performance of their AI systems.
Business benefits: Create, manage and enforce policies that ensure responsible use of AI, explain how AI systems work, model lifecycle management, and provide transparency to build trust and accountability.
Challenges: AI guidelines vary across regions and industries, making it difficult to establish consistent practices.
Trend 3: Disinformation security: An emerging technology category aimed at systematically discerning trust.
Business benefits: Decreases fraud by strengthening controls for validating identity; prevents account takeover through continuous risk scoring, contextual awareness and a continuous adaptive trust model; and protects brand reputation by identifying harmful narratives.
Challenges: Requires a continuously updated, multilayered, adaptive learning, team approach.
Trend 1: Agentic AI: Autonomous AI can plan and take action to achieve goals set by the user.
Business benefits: A virtual workforce of agents to assist, offload and augment the work of humans or traditional applications.
Challenges: Requires robust guardrails to ensure alignment with providers’ and users’ intentions.
Trend 2: AI governance platforms: Technology solutions enable organizations to manage the legal, ethical and operational performance of their AI systems.
Business benefits: Create, manage and enforce policies that ensure responsible use of AI, explain how AI systems work, model lifecycle management, and provide transparency to build trust and accountability.
Challenges: AI guidelines vary across regions and industries, making it difficult to establish consistent practices.
Trend 3: Disinformation security: An emerging technology category aimed at systematically discerning trust.
Business benefits: Decreases fraud by strengthening controls for validating identity; prevents account takeover through continuous risk scoring, contextual awareness and a continuous adaptive trust model; and protects brand reputation by identifying harmful narratives.
Challenges: Requires a continuously updated, multilayered, adaptive learning, team approach.