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Home»Interviews»Generative and Agentic AI Methods Aren’t as Secure as You Assume
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Generative and Agentic AI Methods Aren’t as Secure as You Assume

Editorial TeamBy Editorial TeamJuly 29, 2025Updated:July 29, 2025No Comments4 Mins Read
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Generative and Agentic AI Methods Aren’t as Secure as You Assume
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Offensive and defensive AI companies help with safety and compliance as organizations develop progressive AI/ML options

Coalfire, an industry-leading cybersecurity companies and options firm, has been profitable in hacking 100% of generative and agentic AI purposes examined thus far. To fight the evolving dangers main enterprises are dealing with, Coalfire has launched a full suite of offensive and defensive AI companies to assist firms incorporating AI into their enterprise stay each safe and compliant. By way of these companies, the professional hackers and defenders of Coalfire’s Cyber Safety Providers group empower organizations to innovate with proactive safety on the forefront.

AI has rapidly develop into an enabler for enterprises in each {industry} all over the world; nonetheless the proliferation of AI and ML to assist with productiveness has left safety groups scrambling to correctly safe organizational sources and knowledge. It has launched new dangers together with compromise, knowledge leakage, knowledge privateness violations and the potential for knowledge bias and inaccuracy, amongst different issues.

Additionally Learn: AiThority Interview with Suzanne Livingston, Vice President, IBM Watsonx Orchestrate Agent Domains

As organizations develop progressive AI/ML options, they need to determine and remediate novel safety vulnerabilities earlier than attackers exploit them. To help these efforts, Coalfire’s portfolio of companies consists of:

  • AI readiness evaluation: Primarily based on the NIST AI Danger Administration Framework (AI RMF) and the European Union’s AI Act, this service identifies threats and vulnerabilities associated to the event and utilization of AI methods.
  • Risk modeling and safety analysis: Gives a complete danger evaluation of ML fashions, adhering to established requirements corresponding to OWASP.
  • Penetration testing: Professional hackers take a look at generative AI purposes, LLMs, and different machine studying components to assist safety and enterprise leaders perceive the chance posed by risk actors intent on stealing mental property, delicate data, or gaining undesirable entry to methods.
  • AI attestation: Formal attestation of program certification, adhering to NIST AI RMF.
  • AI danger advisory: Coalfire helps shoppers design, implement, handle and operationalize AI Danger Administration Packages in alignment with NIST AI RMF.

Coalfire’s Cyber Safety Providers group helps enterprises keep forward of recent threats with specialised risk modeling and penetration testing for AI/ML methods. Many corporations carry out periodic automated vulnerability assessments and penetration exams. Nevertheless, for nascent AI methods, threat-focused, handbook testing by professional people is crucial to uncover and replicate the novel assaults concentrating on agentic AI purposes.

Coalfire’s skilled testers convey a hacker’s perspective to assist shoppers determine real-world dangers and remediation actions. This group simulates real-world assault eventualities and makes use of superior testing methodologies to supply actionable insights to scale back danger, improve safety posture and safeguard important property.

Nick Talken, Co-founder and CEO, Albert Invent, mentioned: “If we’re going to assist the world invent sooner, we have to defend sooner. We engaged Coalfire’s AI companies to take a look at our readiness for AI threats. Coalfire tried to assault simply as a risk actor would, utilizing the identical strategies, and their exams proved that we have been ready. It was essential for us to check our response to this new sort of risk, as a result of now we all know we’re prepared and might transfer ahead confidently to construct the way forward for chemistry with AI.”

Additionally Learn: C-Gen.AI Emerges from Stealth to Finish Infrastructure Limitations Affecting AI Workloads

Charles Henderson, govt vice chairman of cyber safety companies, Coalfire, mentioned: “The probabilities and dangers of AI are immense. Firms can’t afford to disregard AI’s potential but in addition can’t afford to hurry into AI implementation with out strong safety. Coalfire has developed a complete set of companies to assist organizations innovate whereas remaining safe and compliant.”

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]



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